def evalValAndDeriv(D):
m = Material('m', D = D, rho = 2700.0)
integral = Integral('i', order=2)
t1 = Term.new('dw_lin_elastic(m.D, v, u)', integral, omega, m=m, v=v, u=u)
t2 = Term.new('dw_volume_dot(m.rho, v, u)', integral, omega, m=m, v=v, u=u)
eq1 = Equation('stiffness', t1)
eq2 = Equation('mass', t2)
lhs_eqs = Equations([eq1, eq2])
pb = Problem('modal', equations = lhs_eqs)
pb.time_update()
n_rbm = dim * (dim + 1) / 2
pb.update_materials()
# Assemble stiffness and mass matrices.
mtx_k = eq1.evaluate(mode='weak', dw_mode='matrix', asm_obj=pb.mtx_a)
mtx_m = mtx_k.copy()
mtx_m.data[:] = 0.0
mtx_m = eq2.evaluate(mode='weak', dw_mode='matrix', asm_obj=mtx_m)
eigs0, evecs0 = scipy.sparse.linalg.eigsh(mtx_k, k = 10, M = mtx_m, which = 'SM')
eigs = eigs0[3:]
evecs = evecs0[:, 3:]
dydmu = numpy.array([evecs[:, i].T.dot(dKdmu.dot(evecs[:, i])) for i in range(evecs.shape[1])])
dydlambda = numpy.array([evecs[:, i].T.dot(dKdlambda.dot(evecs[:, i])) for i in range(evecs.shape[1])])
return eigs, dydmu, dydlambda
def assemble(mtx_d):
m = Material('m', D=mtx_d, rho=density)
integral = Integral('i', order=2 * order)
t1 = Term.new('dw_lin_elastic(m.D, v, u)', integral, omega, m=m, v=v, u=u)
t2 = Term.new('dw_volume_dot(m.rho, v, u)', integral, omega, m=m, v=v, u=u)
eq1 = Equation('stiffness', t1)
eq2 = Equation('mass', t2)
lhs_eqs = Equations([eq1, eq2])
pb = Problem('modal', equations=lhs_eqs)
pb.time_update()
n_rbm = dim * (dim + 1) / 2
pb.update_materials()
tmp = time.time()
# Assemble stiffness and mass matrices.
mtx_k = eq1.evaluate(mode='weak', dw_mode='matrix', asm_obj=pb.mtx_a)
mtx_m = mtx_k.copy()
mtx_m.data[:] = 0.0
mtx_m = eq2.evaluate(mode='weak', dw_mode='matrix', asm_obj=mtx_m)
return mtx_k, mtx_m
def get_terms(u_field, v_field, calc_stiffness, calc_prestress):
"""Get the terms for the equation
Args:
u_field: the displacement field
v_field: the test function field
calc_stiffness: a function to calculate the stiffness tensor
calc_prestress: a function to calculate the prestress tensor
Returns:
a tuple of terms for the equation
"""
return (
Term.new(
"dw_lin_elastic(m.D, v, u)",
Integral("i", order=4),
v_field.field.region,
m=get_material(calc_stiffness, calc_prestress),
v=v_field,
u=u_field,
),
Term.new(
"dw_lin_prestress(m.stress, v)",
Integral("i", order=4),
v_field.field.region,
m=get_material(calc_stiffness, calc_prestress),
v=v_field,
),
)
def make_h1_projection_data(target, eval_data):
"""
Project scalar data given by a material-like `eval_data()` function to a
scalar `target` field variable using the :math:`H^1` dot product.
"""
order = target.field.approx_order * 2
integral = Integral('i', order=order)
un = target.name
v = FieldVariable('v', 'test', target.field, 1, primary_var_name=un)
lhs1 = Term.new('dw_volume_dot(v, %s)' % un,
integral,
target.field.region,
v=v,
**{un: target})
lhs2 = Term.new('dw_laplace(v, %s)' % un,
integral,
target.field.region,
v=v,
**{un: target})
def _eval_data(ts, coors, mode, **kwargs):
if mode == 'qp':
val = eval_data(ts, coors, mode, 'val', **kwargs)
gval = eval_data(ts, coors, mode, 'grad', **kwargs)
return {'val': val, 'gval': gval}
m = Material('m', function=_eval_data)
rhs1 = Term.new('dw_volume_lvf(m.val, v)',
integral,
target.field.region,
m=m,
v=v)
rhs2 = Term.new('dw_diffusion_r(m.gval, v)',
integral,
target.field.region,
m=m,
v=v)
eq = Equation('projection', lhs1 + lhs2 - rhs1 - rhs2)
eqs = Equations([eq])
ls = ScipyDirect({})
nls_status = IndexedStruct()
nls = Newton({}, lin_solver=ls, status=nls_status)
pb = ProblemDefinition('aux', equations=eqs, nls=nls, ls=ls)
pb.time_update()
# This sets the target variable with the projection solution.
pb.solve()
if nls_status.condition != 0:
output('H1 projection: solver did not converge!')
def main():
from sfepy import data_dir
parser = OptionParser(usage=usage, version="%prog")
parser.add_option("-s", "--show", action="store_true", dest="show", default=False, help=help["show"])
options, args = parser.parse_args()
mesh = Mesh.from_file(data_dir + "/meshes/2d/rectangle_tri.mesh")
domain = Domain("domain", mesh)
min_x, max_x = domain.get_mesh_bounding_box()[:, 0]
eps = 1e-8 * (max_x - min_x)
omega = domain.create_region("Omega", "all")
gamma1 = domain.create_region("Gamma1", "vertices in x < %.10f" % (min_x + eps), "facet")
gamma2 = domain.create_region("Gamma2", "vertices in x > %.10f" % (max_x - eps), "facet")
field = Field.from_args("fu", nm.float64, "vector", omega, approx_order=2)
u = FieldVariable("u", "unknown", field)
v = FieldVariable("v", "test", field, primary_var_name="u")
m = Material("m", lam=1.0, mu=1.0)
f = Material("f", val=[[0.02], [0.01]])
integral = Integral("i", order=3)
t1 = Term.new("dw_lin_elastic_iso(m.lam, m.mu, v, u)", integral, omega, m=m, v=v, u=u)
t2 = Term.new("dw_volume_lvf(f.val, v)", integral, omega, f=f, v=v)
eq = Equation("balance", t1 + t2)
eqs = Equations([eq])
fix_u = EssentialBC("fix_u", gamma1, {"u.all": 0.0})
bc_fun = Function("shift_u_fun", shift_u_fun, extra_args={"shift": 0.01})
shift_u = EssentialBC("shift_u", gamma2, {"u.0": bc_fun})
ls = ScipyDirect({})
nls_status = IndexedStruct()
nls = Newton({}, lin_solver=ls, status=nls_status)
pb = Problem("elasticity", equations=eqs, nls=nls, ls=ls)
pb.save_regions_as_groups("regions")
pb.time_update(ebcs=Conditions([fix_u, shift_u]))
vec = pb.solve()
print nls_status
pb.save_state("linear_elasticity.vtk", vec)
if options.show:
view = Viewer("linear_elasticity.vtk")
view(vector_mode="warp_norm", rel_scaling=2, is_scalar_bar=True, is_wireframe=True)
def solve_problem(shape, dims, young, poisson, force, transform=None):
domain = make_domain(dims[:2], shape, transform=transform)
omega = domain.regions['Omega']
gamma1 = domain.regions['Gamma1']
gamma2 = domain.regions['Gamma2']
field = Field.from_args('fu', nm.float64, 6, omega, approx_order=1,
poly_space_base='shell10x')
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
thickness = dims[2]
if transform is None:
pload = [[0.0, 0.0, force / shape[1], 0.0, 0.0, 0.0]] * shape[1]
elif transform == 'bend':
pload = [[force / shape[1], 0.0, 0.0, 0.0, 0.0, 0.0]] * shape[1]
elif transform == 'twist':
pload = [[0.0, force / shape[1], 0.0, 0.0, 0.0, 0.0]] * shape[1]
m = Material('m', D=sh.create_elastic_tensor(young=young, poisson=poisson),
values={'.drill' : 1e-7})
load = Material('load', values={'.val' : pload})
aux = Integral('i', order=3)
qp_coors, qp_weights = aux.get_qp('3_8')
qp_coors[:, 2] = thickness * (qp_coors[:, 2] - 0.5)
qp_weights *= thickness
integral = Integral('i', coors=qp_coors, weights=qp_weights, order='custom')
t1 = Term.new('dw_shell10x(m.D, m.drill, v, u)',
integral, omega, m=m, v=v, u=u)
t2 = Term.new('dw_point_load(load.val, v)',
integral, gamma2, load=load, v=v)
eq = Equation('balance', t1 - t2)
eqs = Equations([eq])
fix_u = EssentialBC('fix_u', gamma1, {'u.all' : 0.0})
ls = ScipyDirect({})
nls_status = IndexedStruct()
nls = Newton({}, lin_solver=ls, status=nls_status)
pb = Problem('elasticity with shell10x', equations=eqs)
pb.set_bcs(ebcs=Conditions([fix_u]))
pb.set_solver(nls)
state = pb.solve()
return pb, state, u, gamma2
def solve_problem(shape, dims, young, poisson, force, transform=None):
domain = make_domain(dims[:2], shape, transform=transform)
omega = domain.regions['Omega']
gamma1 = domain.regions['Gamma1']
gamma2 = domain.regions['Gamma2']
field = Field.from_args('fu', nm.float64, 6, omega, approx_order=1,
poly_space_base='shell10x')
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
thickness = dims[2]
if transform is None:
pload = [[0.0, 0.0, force / shape[1], 0.0, 0.0, 0.0]] * shape[1]
elif transform == 'bend':
pload = [[force / shape[1], 0.0, 0.0, 0.0, 0.0, 0.0]] * shape[1]
elif transform == 'twist':
pload = [[0.0, force / shape[1], 0.0, 0.0, 0.0, 0.0]] * shape[1]
m = Material('m', D=sh.create_elastic_tensor(young=young, poisson=poisson),
values={'.drill' : 1e-7})
load = Material('load', values={'.val' : pload})
aux = Integral('i', order=3)
qp_coors, qp_weights = aux.get_qp('3_8')
qp_coors[:, 2] = thickness * (qp_coors[:, 2] - 0.5)
qp_weights *= thickness
integral = Integral('i', coors=qp_coors, weights=qp_weights, order='custom')
t1 = Term.new('dw_shell10x(m.D, m.drill, v, u)',
integral, omega, m=m, v=v, u=u)
t2 = Term.new('dw_point_load(load.val, v)',
integral, gamma2, load=load, v=v)
eq = Equation('balance', t1 - t2)
eqs = Equations([eq])
fix_u = EssentialBC('fix_u', gamma1, {'u.all' : 0.0})
ls = ScipyDirect({})
nls_status = IndexedStruct()
nls = Newton({}, lin_solver=ls, status=nls_status)
pb = Problem('elasticity with shell10x', equations=eqs, nls=nls, ls=ls)
pb.time_update(ebcs=Conditions([fix_u]))
state = pb.solve()
return pb, state, u, gamma2
def test_save_ebc(self):
from sfepy.discrete import (FieldVariable, Integral, Equation,
Equations, Problem)
from sfepy.discrete.conditions import Conditions, EssentialBC
from sfepy.terms import Term
name = op.join(self.options.out_dir,
op.splitext(op.basename(__file__))[0])
integral = Integral('i', order=1)
u = self.variables['u']
v = FieldVariable('v', 'test', u.field, primary_var_name='u')
p = self.variables['p']
q = FieldVariable('q', 'test', p.field, primary_var_name='p')
regions = self.problem.domain.regions
omega = regions['Omega']
# Problem.save_ebc() requires to have equations defined.
t1 = Term.new('dw_lin_elastic(v, u)', integral, omega, v=v, u=u)
t2 = Term.new('dw_laplace(q, p)', integral, omega, q=q, p=p)
eq = Equation('aux', t1 + t2)
eqs = Equations([eq])
pb = Problem('test', equations=eqs, auto_solvers=False)
all_ebcs = []
all_ebcs.append(
EssentialBC('fix_u1', regions['RightFix'],
{'u.all': nm.array([0.0, 1.0])}))
all_ebcs.append(
EssentialBC('fix_u2', regions['LeftStrip'], {
'u.0': 0.0,
'u.1': 1.0
}))
all_ebcs.append(
EssentialBC('fix_p1', regions['LeftFix'], {'p.all': 0.0}))
all_ebcs.append(
EssentialBC('fix_p2', regions['RightStrip'], {'p.0': 0.0}))
ebcs = Conditions(all_ebcs)
pb.time_update(ebcs=ebcs)
pb.save_ebc(name + '_ebcs_f.vtk', ebcs=ebcs, force=True)
pb.save_ebc(name + '_ebcs.vtk', ebcs=ebcs, default=-1, force=False)
return True
def test_invariance_qp(self):
from sfepy import data_dir
from sfepy.discrete import Integral
from sfepy.terms import Term
from sfepy.discrete.common.mappings import get_physical_qps
ok = True
for name in [
"meshes/3d/block.mesh",
"meshes/3d/cylinder.mesh",
"meshes/2d/square_quad.mesh",
"meshes/2d/square_unit_tri.mesh",
]:
self.report(name)
u = prepare_variable(op.join(data_dir, name), n_components=3)
omega = u.field.region
integral = Integral("i", order=3)
qps = get_physical_qps(omega, integral)
coors = qps.values
term = Term.new("ev_volume_integrate(u)", integral, omega, u=u)
term.setup()
val1 = term.evaluate(mode="qp")
val1 = val1.ravel()
val2 = u.evaluate_at(coors).ravel()
self.report("value: max. difference:", nm.abs(val1 - val2).max())
ok1 = nm.allclose(val1, val2, rtol=0.0, atol=1e-12)
self.report("->", ok1)
term = Term.new("ev_grad(u)", integral, omega, u=u)
term.setup()
val1 = term.evaluate(mode="qp")
val1 = val1.ravel()
val2 = u.evaluate_at(coors, mode="grad").ravel()
self.report("gradient: max. difference:", nm.abs(val1 - val2).max())
ok2 = nm.allclose(val1, val2, rtol=0.0, atol=1e-10)
self.report("->", ok2)
ok = ok and ok1 and ok2
return ok
def solveLaplaceEquationTetrahedral(mesh, meshVTK, boundaryPoints,
boundaryConditions):
"""
mesh: path to a 3D mesh / sfepy mesh
"""
if isinstance(mesh, str):
mesh = Mesh.from_file(mesh)
#Set domains
domain = FEDomain('domain', mesh)
omega = domain.create_region('Omega', 'all')
boundary = domain.create_region(
'gamma',
'vertex %s' % ','.join(map(str, range(meshVTK.GetNumberOfPoints()))),
'facet')
#set fields
field = Field.from_args('fu', np.float64, 1, omega, approx_order=1)
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
m = Material('m', val=[1.])
#Define element integrals
integral = Integral('i', order=3)
#Equations defining
t1 = Term.new('dw_laplace( v, u )', integral, omega, v=v, u=u)
eq = Equation('balance', t1)
eqs = Equations([eq])
heatBoundary = boundaryConditions
points = boundaryPoints
#Boundary conditions
c = ClosestPointStupid(points, heatBoundary, meshVTK)
def u_fun(ts, coors, bc=None, problem=None, c=c):
c.distances = []
v = np.zeros(len(coors))
for i, p in enumerate(coors):
v[i] = c.interpolate(p)
#c.findClosestPoint(p)
return v
bc_fun = Function('u_fun', u_fun)
fix1 = EssentialBC('fix_u', boundary, {'u.all': bc_fun})
#Solve problem
ls = ScipyDirect({})
nls = Newton({}, lin_solver=ls)
pb = Problem('heat', equations=eqs)
pb.set_bcs(ebcs=Conditions([fix1]))
pb.set_solver(nls)
state = pb.solve(verbose=False, save_results=False)
u = state.get_parts()['u']
return u
def run(domain, order):
omega = domain.create_region('Omega', 'all')
bbox = domain.get_mesh_bounding_box()
min_x, max_x = bbox[:, 0]
min_y, max_y = bbox[:, 1]
eps = 1e-8 * (max_x - min_x)
gamma1 = domain.create_region('Gamma1',
'vertices in (x < %.10f)' % (min_x + eps),
'facet')
gamma2 = domain.create_region('Gamma2',
'vertices in (x > %.10f)' % (max_x - eps),
'facet')
gamma3 = domain.create_region('Gamma3',
'vertices in y < %.10f' % (min_y + eps),
'facet')
gamma4 = domain.create_region('Gamma4',
'vertices in y > %.10f' % (max_y - eps),
'facet')
field = Field.from_args('fu', nm.float64, 1, omega, approx_order=order)
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
integral = Integral('i', order=2*order)
t1 = Term.new('dw_laplace(v, u)',
integral, omega, v=v, u=u)
eq = Equation('eq', t1)
eqs = Equations([eq])
fix1 = EssentialBC('fix1', gamma1, {'u.0' : 0.4})
fix2 = EssentialBC('fix2', gamma2, {'u.0' : 0.0})
def get_shift(ts, coors, region):
return nm.ones_like(coors[:, 0])
dof_map_fun = Function('dof_map_fun', per.match_x_line)
shift_fun = Function('shift_fun', get_shift)
sper = LinearCombinationBC('sper', [gamma3, gamma4], {'u.0' : 'u.0'},
dof_map_fun, 'shifted_periodic',
arguments=(shift_fun,))
ls = ScipyDirect({})
pb = Problem('laplace', equations=eqs, auto_solvers=None)
pb.time_update(ebcs=Conditions([fix1, fix2]), lcbcs=Conditions([sper]))
ev = pb.get_evaluator()
nls = Newton({}, lin_solver=ls,
fun=ev.eval_residual, fun_grad=ev.eval_tangent_matrix)
pb.set_solver(nls)
state = pb.solve()
return pb, state
def test_invariance_qp(self):
from sfepy import data_dir
from sfepy.discrete import Integral
from sfepy.terms import Term
from sfepy.discrete.common.mappings import get_physical_qps
ok = True
for name in [
'meshes/3d/block.mesh', 'meshes/3d/cylinder.mesh',
'meshes/2d/square_quad.mesh', 'meshes/2d/square_unit_tri.mesh'
]:
self.report(name)
u = prepare_variable(op.join(data_dir, name), n_components=3)
omega = u.field.region
integral = Integral('i', order=3)
qps = get_physical_qps(omega, integral)
coors = qps.values
term = Term.new('ev_volume_integrate(u)', integral, omega, u=u)
term.setup()
val1 = term.evaluate(mode='qp')
val1 = val1.ravel()
val2 = u.evaluate_at(coors).ravel()
self.report('value: max. difference:', nm.abs(val1 - val2).max())
ok1 = nm.allclose(val1, val2, rtol=0.0, atol=1e-12)
self.report('->', ok1)
term = Term.new('ev_grad(u)', integral, omega, u=u)
term.setup()
val1 = term.evaluate(mode='qp')
val1 = val1.ravel()
val2 = u.evaluate_at(coors, mode='grad').ravel()
self.report('gradient: max. difference:',
nm.abs(val1 - val2).max())
ok2 = nm.allclose(val1, val2, rtol=0.0, atol=1e-10)
self.report('->', ok2)
ok = ok and ok1 and ok2
return ok
def test_save_ebc(self):
from sfepy.discrete import (FieldVariable, Integral,
Equation, Equations, Problem)
from sfepy.discrete.conditions import Conditions, EssentialBC
from sfepy.terms import Term
name = op.join(self.options.out_dir,
op.splitext(op.basename(__file__))[0])
integral = Integral('i', order=1)
u = self.variables['u']
v = FieldVariable('v', 'test', u.field, primary_var_name='u')
p = self.variables['p']
q = FieldVariable('q', 'test', p.field, primary_var_name='p')
regions = self.problem.domain.regions
omega = regions['Omega']
# Problem.save_ebc() requires to have equations defined.
t1 = Term.new('dw_lin_elastic(v, u)',
integral, omega, v=v, u=u)
t2 = Term.new('dw_laplace(q, p)', integral, omega, q=q, p=p)
eq = Equation('aux', t1 + t2)
eqs = Equations([eq])
pb = Problem('test', equations=eqs, auto_solvers=False)
all_ebcs = []
all_ebcs.append(EssentialBC('fix_u1', regions['RightFix'],
{'u.all' : nm.array([0.0, 1.0])}))
all_ebcs.append(EssentialBC('fix_u2', regions['LeftStrip'],
{'u.0' : 0.0, 'u.1' : 1.0}))
all_ebcs.append(EssentialBC('fix_p1', regions['LeftFix'],
{'p.all' : 0.0}))
all_ebcs.append(EssentialBC('fix_p2', regions['RightStrip'],
{'p.0' : 0.0}))
ebcs = Conditions(all_ebcs)
pb.time_update(ebcs=ebcs)
pb.save_ebc(name + '_ebcs_f.vtk', ebcs=ebcs, force=True)
pb.save_ebc(name + '_ebcs.vtk', ebcs=ebcs, default=-1, force=False)
return True
def make_h1_projection_data(target, eval_data):
"""
Project scalar data given by a material-like `eval_data()` function to a
scalar `target` field variable using the :math:`H^1` dot product.
"""
order = target.field.approx_order * 2
integral = Integral('i', order=order)
un = target.name
v = FieldVariable('v', 'test', target.field, primary_var_name=un)
lhs1 = Term.new('dw_volume_dot(v, %s)' % un, integral,
target.field.region, v=v, **{un : target})
lhs2 = Term.new('dw_laplace(v, %s)' % un, integral,
target.field.region, v=v, **{un : target})
def _eval_data(ts, coors, mode, **kwargs):
if mode == 'qp':
val = eval_data(ts, coors, mode, 'val', **kwargs)
gval = eval_data(ts, coors, mode, 'grad', **kwargs)
return {'val' : val, 'gval' : gval}
m = Material('m', function=_eval_data)
rhs1 = Term.new('dw_volume_lvf(m.val, v)', integral, target.field.region,
m=m, v=v)
rhs2 = Term.new('dw_diffusion_r(m.gval, v)', integral, target.field.region,
m=m, v=v)
eq = Equation('projection', lhs1 + lhs2 - rhs1 - rhs2)
eqs = Equations([eq])
ls = ScipyDirect({})
nls_status = IndexedStruct()
nls = Newton({}, lin_solver=ls, status=nls_status)
pb = Problem('aux', equations=eqs, nls=nls, ls=ls)
pb.time_update()
# This sets the target variable with the projection solution.
pb.solve()
if nls_status.condition != 0:
output('H1 projection: solver did not converge!')
def run(domain, order):
omega = domain.create_region('Omega', 'all')
bbox = domain.get_mesh_bounding_box()
min_x, max_x = bbox[:, 0]
min_y, max_y = bbox[:, 1]
eps = 1e-8 * (max_x - min_x)
gamma1 = domain.create_region('Gamma1',
'vertices in (x < %.10f)' % (min_x + eps),
'facet')
gamma2 = domain.create_region('Gamma2',
'vertices in (x > %.10f)' % (max_x - eps),
'facet')
gamma3 = domain.create_region('Gamma3',
'vertices in y < %.10f' % (min_y + eps),
'facet')
gamma4 = domain.create_region('Gamma4',
'vertices in y > %.10f' % (max_y - eps),
'facet')
field = Field.from_args('fu', nm.float64, 1, omega, approx_order=order)
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
integral = Integral('i', order=2 * order)
t1 = Term.new('dw_laplace(v, u)', integral, omega, v=v, u=u)
eq = Equation('eq', t1)
eqs = Equations([eq])
fix1 = EssentialBC('fix1', gamma1, {'u.0': 0.4})
fix2 = EssentialBC('fix2', gamma2, {'u.0': 0.0})
def get_shift(ts, coors, region):
return nm.ones_like(coors[:, 0])
dof_map_fun = Function('dof_map_fun', per.match_x_line)
shift_fun = Function('shift_fun', get_shift)
sper = LinearCombinationBC('sper', [gamma3, gamma4], {'u.0': 'u.0'},
dof_map_fun,
'shifted_periodic',
arguments=(shift_fun, ))
ls = ScipyDirect({})
nls = Newton({}, lin_solver=ls)
pb = Problem('laplace', equations=eqs)
pb.set_bcs(ebcs=Conditions([fix1, fix2]), lcbcs=Conditions([sper]))
pb.set_solver(nls)
state = pb.solve()
return pb, state
def make_l2_projection(target, source):
"""
Project `source` field variable to `target` field variable using
:math:`L^2` dot product.
"""
order = target.field.get_true_order()**2
integral = Integral('i', order=order)
un = target.name
v = FieldVariable('v', 'test', target.field, 1, primary_var_name=un)
lhs = Term.new('dw_mass_scalar(v, %s)' % un, integral,
target.field.region, v=v, **{un : target})
def eval_variable(ts, coors, mode, **kwargs):
if mode == 'qp':
val = source.evaluate_at(coors)
val.shape = val.shape + (1,)
out = {'val' : val}
return out
m = Material('m', function=eval_variable)
rhs = Term.new('dw_volume_lvf(m.val, v)', integral, target.field.region,
m=m, v=v)
eq = Equation('projection', lhs - rhs)
eqs = Equations([eq])
ls = ScipyDirect({})
nls_status = IndexedStruct()
nls = Newton({}, lin_solver=ls, status=nls_status)
pb = ProblemDefinition('aux', equations=eqs, nls=nls, ls=ls)
pb.time_update()
# This sets the target variable with the projection solution.
pb.solve()
if nls_status.condition != 0:
output('L2 projection: solver did not converge!')
def linear_projection(pb, cval):
from sfepy.discrete import (FieldVariable, Material, Integral, Equation,
Equations, Problem)
from sfepy.discrete.fem import Mesh, FEDomain, Field
from sfepy.terms import Term
from sfepy.solvers.ls import ScipyDirect
from sfepy.solvers.nls import Newton
from sfepy.base.base import IndexedStruct
mesh = Mesh.from_file(pb.conf.filename_mesh)
domain = FEDomain('domain', mesh)
omega = domain.create_region('Omega', 'all')
field = Field.from_args('scf', nm.float64, 'scalar', omega, approx_order=1)
g = FieldVariable('g', 'unknown', field)
f = FieldVariable('f', 'test', field, primary_var_name='g')
integral = Integral('i', order=2)
m = Material('m', function=set_grad)
t1 = Term.new('dw_volume_dot(f, g)', integral, omega, f=f, g=g)
t2 = Term.new('dw_volume_lvf(m.cs, f)', integral, omega, m=m, f=f)
eq = Equation('balance', t1 - t2)
eqs = Equations([eq])
ls = ScipyDirect({})
nls_status = IndexedStruct()
nls = Newton({'eps_a': 1e-15}, lin_solver=ls, status=nls_status)
pb = Problem('elasticity', equations=eqs)
pb.set_solver(nls)
out = nm.empty((g.n_dof, cval.shape[2]), dtype=nm.float64)
for ii in range(cval.shape[2]):
pb.data = nm.ascontiguousarray(cval[:, :, ii, :])
pb.time_update()
state = pb.solve()
out[:, ii] = state.get_parts()['g']
return out
def make_l2_projection_data(target, eval_data):
"""
Project scalar data given by a material-like `eval_data()` function to a
scalar `target` field variable using the :math:`L^2` dot product.
"""
order = target.field.approx_order * 2
integral = Integral("i", order=order)
un = target.name
v = FieldVariable("v", "test", target.field, primary_var_name=un)
lhs = Term.new("dw_volume_dot(v, %s)" % un, integral, target.field.region, v=v, **{un: target})
def _eval_data(ts, coors, mode, **kwargs):
if mode == "qp":
val = eval_data(ts, coors, mode, **kwargs)
return {"val": val}
m = Material("m", function=_eval_data)
rhs = Term.new("dw_volume_lvf(m.val, v)", integral, target.field.region, m=m, v=v)
eq = Equation("projection", lhs - rhs)
eqs = Equations([eq])
ls = ScipyDirect({})
nls_status = IndexedStruct()
nls = Newton({}, lin_solver=ls, status=nls_status)
pb = ProblemDefinition("aux", equations=eqs, nls=nls, ls=ls)
pb.time_update()
# This sets the target variable with the projection solution.
pb.solve()
if nls_status.condition != 0:
output("L2 projection: solver did not converge!")
def run(domain, order):
omega = domain.create_region("Omega", "all")
bbox = domain.get_mesh_bounding_box()
min_x, max_x = bbox[:, 0]
min_y, max_y = bbox[:, 1]
eps = 1e-8 * (max_x - min_x)
gamma1 = domain.create_region("Gamma1", "vertices in (x < %.10f)" % (min_x + eps), "facet")
gamma2 = domain.create_region("Gamma2", "vertices in (x > %.10f)" % (max_x - eps), "facet")
gamma3 = domain.create_region("Gamma3", "vertices in y < %.10f" % (min_y + eps), "facet")
gamma4 = domain.create_region("Gamma4", "vertices in y > %.10f" % (max_y - eps), "facet")
field = Field.from_args("fu", nm.float64, 1, omega, approx_order=order)
u = FieldVariable("u", "unknown", field)
v = FieldVariable("v", "test", field, primary_var_name="u")
integral = Integral("i", order=2 * order)
t1 = Term.new("dw_laplace(v, u)", integral, omega, v=v, u=u)
eq = Equation("eq", t1)
eqs = Equations([eq])
fix1 = EssentialBC("fix1", gamma1, {"u.0": 0.4})
fix2 = EssentialBC("fix2", gamma2, {"u.0": 0.0})
def get_shift(ts, coors, region):
return nm.ones_like(coors[:, 0])
dof_map_fun = Function("dof_map_fun", per.match_x_line)
shift_fun = Function("shift_fun", get_shift)
sper = LinearCombinationBC(
"sper", [gamma3, gamma4], {"u.0": "u.0"}, dof_map_fun, "shifted_periodic", arguments=(shift_fun,)
)
ls = ScipyDirect({})
pb = Problem("laplace", equations=eqs, auto_solvers=None)
pb.time_update(ebcs=Conditions([fix1, fix2]), lcbcs=Conditions([sper]))
ev = pb.get_evaluator()
nls = Newton({}, lin_solver=ls, fun=ev.eval_residual, fun_grad=ev.eval_tangent_matrix)
pb.set_solver(nls)
state = pb.solve()
return pb, state
def test_invariance_qp(self):
from sfepy import data_dir
from sfepy.fem import (Mesh, Domain, H1NodalVolumeField, Variables,
Integral)
from sfepy.terms import Term
from sfepy.fem.mappings import get_physical_qps
mesh = Mesh('source mesh', data_dir + '/meshes/3d/block.mesh')
bbox = mesh.get_bounding_box()
dd = bbox[1, :] - bbox[0, :]
data = nm.sin(4.0 * nm.pi * mesh.coors[:,0:1] / dd[0]) \
* nm.cos(4.0 * nm.pi * mesh.coors[:,1:2] / dd[1])
variables = {
'u': ('unknown field', 'scalar_tp', 0),
'v': ('test field', 'scalar_tp', 'u'),
}
domain = Domain('domain', mesh)
omega = domain.create_region('Omega', 'all')
field = H1NodalVolumeField('scalar_tp',
nm.float64,
1,
omega,
approx_order=1)
ff = {field.name: field}
vv = Variables.from_conf(transform_variables(variables), ff)
u = vv['u']
u.set_from_mesh_vertices(data)
integral = Integral('i', order=2)
term = Term.new('ev_volume_integrate(u)', integral, omega, u=u)
term.setup()
val1, _ = term.evaluate(mode='qp')
val1 = val1.ravel()
qps = get_physical_qps(omega, integral)
coors = qps.get_merged_values()
val2 = u.evaluate_at(coors).ravel()
self.report('max. difference:', nm.abs(val1 - val2).max())
ok = nm.allclose(val1, val2, rtol=0.0, atol=1e-12)
self.report('invariance in qp: %s' % ok)
return ok
def test_invariance_qp(self):
from sfepy import data_dir
from sfepy.discrete import Variables, Integral
from sfepy.discrete.fem import Mesh, FEDomain, Field
from sfepy.terms import Term
from sfepy.discrete.common.mappings import get_physical_qps
mesh = Mesh.from_file(data_dir + '/meshes/3d/block.mesh')
bbox = mesh.get_bounding_box()
dd = bbox[1,:] - bbox[0,:]
data = nm.sin(4.0 * nm.pi * mesh.coors[:,0:1] / dd[0]) \
* nm.cos(4.0 * nm.pi * mesh.coors[:,1:2] / dd[1])
variables = {
'u' : ('unknown field', 'scalar_tp', 0),
'v' : ('test field', 'scalar_tp', 'u'),
}
domain = FEDomain('domain', mesh)
omega = domain.create_region('Omega', 'all')
field = Field.from_args('scalar_tp', nm.float64, 1, omega,
approx_order=1)
ff = {field.name : field}
vv = Variables.from_conf(transform_variables(variables), ff)
u = vv['u']
u.set_from_mesh_vertices(data)
integral = Integral('i', order=2)
term = Term.new('ev_volume_integrate(u)', integral, omega, u=u)
term.setup()
val1 = term.evaluate(mode='qp')
val1 = val1.ravel()
qps = get_physical_qps(omega, integral)
coors = qps.values
val2 = u.evaluate_at(coors).ravel()
self.report('max. difference:', nm.abs(val1 - val2).max())
ok = nm.allclose(val1, val2, rtol=0.0, atol=1e-12)
self.report('invariance in qp: %s' % ok)
return ok
def get_term(property_array, delta_x, fields):
"""Get the term
Args:
property_array: the spatial array of property values
delta_x: the grid spacing
fields: the Sfepy u, v fields
Returns:
a new term
"""
return Term.new(
"dw_lin_elastic_iso(m.lam, m.mu, v, u)",
Integral("i", order=4),
fields[0].field.region,
m=_get_material(property_array, fields[0].field.region.domain, delta_x),
u=fields[0],
v=fields[1],
)
def create_mass_matrix(field):
"""
Create scalar mass matrix corresponding to the given field.
Returns
-------
mtx : csr_matrix
The mass matrix in CSR format.
"""
u = FieldVariable('u', 'unknown', field, 1)
v = FieldVariable('v', 'test', field, 1, primary_var_name='u')
integral = Integral('i', order=field.approx_order * 2)
term = Term.new('dw_volume_dot(v, u)', integral, field.region, v=v, u=u)
eq = Equation('aux', term)
eqs = Equations([eq])
eqs.time_update(None)
dummy = eqs.create_state_vector()
mtx = eqs.create_matrix_graph()
mtx = eqs.eval_tangent_matrices(dummy, mtx)
return mtx
def create_mass_matrix(field):
"""
Create scalar mass matrix corresponding to the given field.
Returns
-------
mtx : csr_matrix
The mass matrix in CSR format.
"""
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
integral = Integral('i', order=field.approx_order * 2)
term = Term.new('dw_volume_dot(v, u)', integral, field.region, v=v, u=u)
eq = Equation('aux', term)
eqs = Equations([eq])
eqs.time_update(None)
dummy = eqs.create_state_vector()
mtx = eqs.create_matrix_graph()
mtx = eqs.eval_tangent_matrices(dummy, mtx)
return mtx
def main():
parser = OptionParser(usage=usage, version="%prog")
parser.add_option(
"-b", "--basis", metavar="name", action="store", dest="basis", default="lagrange", help=help["basis"]
)
parser.add_option(
"-n",
"--max-order",
metavar="order",
type=int,
action="store",
dest="max_order",
default=10,
help=help["max_order"],
)
parser.add_option(
"-m",
"--matrix",
metavar="type",
action="store",
dest="matrix_type",
default="laplace",
help=help["matrix_type"],
)
parser.add_option(
"-g", "--geometry", metavar="name", action="store", dest="geometry", default="2_4", help=help["geometry"]
)
options, args = parser.parse_args()
dim, n_ep = int(options.geometry[0]), int(options.geometry[2])
output("reference element geometry:")
output(" dimension: %d, vertices: %d" % (dim, n_ep))
n_c = {"laplace": 1, "elasticity": dim}[options.matrix_type]
output("matrix type:", options.matrix_type)
output("number of variable components:", n_c)
output("polynomial space:", options.basis)
output("max. order:", options.max_order)
mesh = Mesh.from_file(data_dir + "/meshes/elements/%s_1.mesh" % options.geometry)
domain = Domain("domain", mesh)
omega = domain.create_region("Omega", "all")
orders = nm.arange(1, options.max_order + 1, dtype=nm.int)
conds = []
order_fix = 0 if options.geometry in ["2_4", "3_8"] else 1
for order in orders:
output("order:", order, "...")
field = Field.from_args(
"fu", nm.float64, n_c, omega, approx_order=order, space="H1", poly_space_base=options.basis
)
to = field.approx_order
quad_order = 2 * (max(to - order_fix, 0))
output("quadrature order:", quad_order)
integral = Integral("i", order=quad_order)
qp, _ = integral.get_qp(options.geometry)
output("number of quadrature points:", qp.shape[0])
u = FieldVariable("u", "unknown", field, n_c)
v = FieldVariable("v", "test", field, n_c, primary_var_name="u")
m = Material("m", lam=1.0, mu=1.0)
if options.matrix_type == "laplace":
term = Term.new("dw_laplace(m.mu, v, u)", integral, omega, m=m, v=v, u=u)
n_zero = 1
else:
assert_(options.matrix_type == "elasticity")
term = Term.new("dw_lin_elastic_iso(m.lam, m.mu, v, u)", integral, omega, m=m, v=v, u=u)
n_zero = (dim + 1) * dim / 2
term.setup()
output("assembling...")
tt = time.clock()
mtx, iels = term.evaluate(mode="weak", diff_var="u")
output("...done in %.2f s" % (time.clock() - tt))
mtx = mtx[0][0, 0]
try:
assert_(nm.max(nm.abs(mtx - mtx.T)) < 1e-10)
except:
from sfepy.base.base import debug
debug()
output("matrix shape:", mtx.shape)
eigs = eig(mtx, method="eig.sgscipy", eigenvectors=False)
eigs.sort()
# Zero 'true' zeros.
eigs[:n_zero] = 0.0
ii = nm.where(eigs < 0.0)[0]
if len(ii):
output("matrix is not positive semi-definite!")
ii = nm.where(eigs[n_zero:] < 1e-12)[0]
if len(ii):
output("matrix has more than %d zero eigenvalues!" % n_zero)
output("smallest eigs:\n", eigs[:10])
ii = nm.where(eigs > 0.0)[0]
emin, emax = eigs[ii[[0, -1]]]
output("min:", emin, "max:", emax)
cond = emax / emin
conds.append(cond)
output("condition number:", cond)
output("...done")
plt.figure(1)
plt.semilogy(orders, conds)
plt.xticks(orders, orders)
plt.xlabel("polynomial order")
plt.ylabel("condition number")
plt.grid()
plt.figure(2)
plt.loglog(orders, conds)
plt.xticks(orders, orders)
plt.xlabel("polynomial order")
plt.ylabel("condition number")
plt.grid()
plt.show()
def main():
parser = ArgumentParser(description=__doc__,
formatter_class=RawDescriptionHelpFormatter)
parser.add_argument('--version', action='version', version='%(prog)s')
parser.add_argument('-d',
'--dims',
metavar='dims',
action='store',
dest='dims',
default='[1.0, 1.0]',
help=helps['dims'])
parser.add_argument('-c',
'--centre',
metavar='centre',
action='store',
dest='centre',
default='[0.0, 0.0]',
help=helps['centre'])
parser.add_argument('-s',
'--shape',
metavar='shape',
action='store',
dest='shape',
default='[11, 11]',
help=helps['shape'])
parser.add_argument('-b',
'--bc-kind',
metavar='kind',
action='store',
dest='bc_kind',
choices=['free', 'cantilever', 'fixed'],
default='free',
help=helps['bc_kind'])
parser.add_argument('-a',
'--axis',
metavar='0, ..., dim, or -1',
type=int,
action='store',
dest='axis',
default=-1,
help=helps['axis'])
parser.add_argument('--young',
metavar='float',
type=float,
action='store',
dest='young',
default=200e+9,
help=helps['young'])
parser.add_argument('--poisson',
metavar='float',
type=float,
action='store',
dest='poisson',
default=0.3,
help=helps['poisson'])
parser.add_argument('--density',
metavar='float',
type=float,
action='store',
dest='density',
default=7800.0,
help=helps['density'])
parser.add_argument('--order',
metavar='int',
type=int,
action='store',
dest='order',
default=1,
help=helps['order'])
parser.add_argument('-n',
'--n-eigs',
metavar='int',
type=int,
action='store',
dest='n_eigs',
default=6,
help=helps['n_eigs'])
parser.add_argument('-i',
'--ignore',
metavar='int',
type=int,
action='store',
dest='ignore',
default=None,
help=helps['ignore'])
parser.add_argument('--solver', metavar='solver', action='store',
dest='solver',
default= \
"eig.scipy,method:'eigh',tol:1e-5,maxiter:1000",
help=helps['solver'])
parser.add_argument('--show',
action="store_true",
dest='show',
default=False,
help=helps['show'])
#parser.add_argument('filename', nargs='?', default=None)
#read block.mesh
#parser.add_argument('filename', nargs='?', default="platehexat200mm.mesh")
parser.add_argument('filename', nargs='?', default="block_1m.mesh")
options = parser.parse_args()
aux = options.solver.split(',')
kwargs = {}
for option in aux[1:]:
key, val = option.split(':')
kwargs[key.strip()] = eval(val)
eig_conf = Struct(name='evp', kind=aux[0], **kwargs)
output('using values:')
output(" Young's modulus:", options.young)
output(" Poisson's ratio:", options.poisson)
output(' density:', options.density)
output('displacement field approximation order:', options.order)
output('requested %d eigenvalues' % options.n_eigs)
output('using eigenvalue problem solver:', eig_conf.kind)
output.level += 1
for key, val in six.iteritems(kwargs):
output('%s: %r' % (key, val))
output.level -= 1
assert_((0.0 < options.poisson < 0.5),
"Poisson's ratio must be in ]0, 0.5[!")
assert_((0 < options.order),
'displacement approximation order must be at least 1!')
filename = options.filename
if filename is not None:
mesh = Mesh.from_file(filename)
dim = mesh.dim
dims = nm.diff(mesh.get_bounding_box(), axis=0)
else:
dims = nm.array(eval(options.dims), dtype=nm.float64)
dim = len(dims)
centre = nm.array(eval(options.centre), dtype=nm.float64)[:dim]
shape = nm.array(eval(options.shape), dtype=nm.int32)[:dim]
output('dimensions:', dims)
output('centre: ', centre)
output('shape: ', shape)
mesh = gen_block_mesh(dims, shape, centre, name='mesh')
output('axis: ', options.axis)
assert_((-dim <= options.axis < dim), 'invalid axis value!')
eig_solver = Solver.any_from_conf(eig_conf)
# Build the problem definition.
domain = FEDomain('domain', mesh)
bbox = domain.get_mesh_bounding_box()
min_coor, max_coor = bbox[:, options.axis]
eps = 1e-8 * (max_coor - min_coor)
ax = 'xyz'[:dim][options.axis]
omega = domain.create_region('Omega', 'all')
"""
bottom = domain.create_region('Bottom',
'vertices in (%s < %.10f)'
% (ax, min_coor + eps),
'facet')
bottom_top = domain.create_region('BottomTop',
'r.Bottom +v vertices in (%s > %.10f)'
% (ax, max_coor - eps),
'facet')
"""
#import pdb; pdb.set_trace()
left = domain.create_region('left', 'vertices in (x < -0.49)', 'facet')
field = Field.from_args('fu',
nm.float64,
'vector',
omega,
approx_order=options.order)
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
mtx_d = stiffness_from_youngpoisson(dim, options.young, options.poisson)
m = Material('m', D=mtx_d, rho=options.density)
integral = Integral('i', order=2 * options.order)
t1 = Term.new('dw_lin_elastic(m.D, v, u)', integral, omega, m=m, v=v, u=u)
t2 = Term.new('dw_volume_dot(m.rho, v, u)', integral, omega, m=m, v=v, u=u)
eq1 = Equation('stiffness', t1)
eq2 = Equation('mass', t2)
lhs_eqs = Equations([eq1, eq2])
pb = Problem('modal', equations=lhs_eqs)
"""
if options.bc_kind == 'free':
pb.time_update()
n_rbm = dim * (dim + 1) // 2
elif options.bc_kind == 'cantilever':
fixed = EssentialBC('Fixed', bottom, {'u.all' : 0.0})
pb.time_update(ebcs=Conditions([fixed]))
n_rbm = 0
elif options.bc_kind == 'fixed':
fixed = EssentialBC('Fixed', bottom_top, {'u.all' : 0.0})
pb.time_update(ebcs=Conditions([fixed]))
n_rbm = 0
else:
raise ValueError('unsupported BC kind! (%s)' % options.bc_kind)
if options.ignore is not None:
n_rbm = options.ignore
"""
fixed = EssentialBC('Fixed', left, {'u.all': 0.0})
pb.time_update(ebcs=Conditions([fixed]))
n_rbm = 0
pb.update_materials()
# Assemble stiffness and mass matrices.
mtx_k = eq1.evaluate(mode='weak', dw_mode='matrix', asm_obj=pb.mtx_a)
mtx_m = mtx_k.copy()
mtx_m.data[:] = 0.0
mtx_m = eq2.evaluate(mode='weak', dw_mode='matrix', asm_obj=mtx_m)
try:
eigs, svecs = eig_solver(mtx_k,
mtx_m,
options.n_eigs + n_rbm,
eigenvectors=True)
except sla.ArpackNoConvergence as ee:
eigs = ee.eigenvalues
svecs = ee.eigenvectors
output('only %d eigenvalues converged!' % len(eigs))
output('%d eigenvalues converged (%d ignored as rigid body modes)' %
(len(eigs), n_rbm))
eigs = eigs[n_rbm:]
svecs = svecs[:, n_rbm:]
omegas = nm.sqrt(eigs)
freqs = omegas / (2 * nm.pi)
output('number | eigenvalue | angular frequency '
'| frequency')
for ii, eig in enumerate(eigs):
output('%6d | %17.12e | %17.12e | %17.12e' %
(ii + 1, eig, omegas[ii], freqs[ii]))
# Make full eigenvectors (add DOFs fixed by boundary conditions).
variables = pb.get_variables()
vecs = nm.empty((variables.di.ptr[-1], svecs.shape[1]), dtype=nm.float64)
for ii in range(svecs.shape[1]):
vecs[:, ii] = variables.make_full_vec(svecs[:, ii])
# Save the eigenvectors.
out = {}
state = pb.create_state()
for ii in range(eigs.shape[0]):
state.set_full(vecs[:, ii])
aux = state.create_output_dict()
strain = pb.evaluate('ev_cauchy_strain.i.Omega(u)',
integrals=Integrals([integral]),
mode='el_avg',
verbose=False)
out['u%03d' % ii] = aux.popitem()[1]
out['strain%03d' % ii] = Struct(mode='cell', data=strain)
pb.save_state('eigenshapes.vtk', out=out)
pb.save_regions_as_groups('regions')
if len(eigs) and options.show:
# Show the solution. If the approximation order is greater than 1, the
# extra DOFs are simply thrown away.
from sfepy.postprocess.viewer import Viewer
from sfepy.postprocess.domain_specific import DomainSpecificPlot
scaling = 0.05 * dims.max() / nm.abs(vecs).max()
ds = {}
for ii in range(eigs.shape[0]):
pd = DomainSpecificPlot('plot_displacements', [
'rel_scaling=%s' % scaling, 'color_kind="tensors"',
'color_name="strain%03d"' % ii
])
ds['u%03d' % ii] = pd
view = Viewer('eigenshapes.vtk')
view(domain_specific=ds,
only_names=sorted(ds.keys()),
is_scalar_bar=False,
is_wireframe=True)
def _test_single_term(self, term_cls, domain, rname):
from sfepy.terms import Term
from sfepy.terms.terms import get_arg_kinds
ok = True
term_call = term_cls.name + '(%s)'
arg_shapes_list = term_cls.arg_shapes
if not isinstance(arg_shapes_list, list):
arg_shapes_list = [arg_shapes_list]
if term_cls.integration != 'custom':
integral = self.integral
else:
integral = self.custom_integral
poly_space_base = getattr(term_cls, 'poly_space_base', 'lagrange')
prev_shapes = {}
for _arg_shapes in arg_shapes_list:
# Unset shapes are taken from the previous iteration.
arg_shapes = copy(prev_shapes)
arg_shapes.update(_arg_shapes)
prev_shapes = arg_shapes
self.report('arg_shapes:', arg_shapes)
arg_types = term_cls.arg_types
if not isinstance(arg_types[0], tuple):
arg_types = (arg_types,)
for iat, ats in enumerate(arg_types):
self.report('arg_types:', ats)
arg_kinds = get_arg_kinds(ats)
modes = getattr(term_cls, 'modes', None)
mode = modes[iat] if modes is not None else None
if 'dw_s_dot_grad_i_s' in term_cls.name:
material_value = 0.0
else:
material_value = 1.0
aux = make_term_args(arg_shapes, arg_kinds, ats, mode, domain,
material_value=material_value,
poly_space_base=poly_space_base)
args, str_args, materials, variables = aux
self.report('args:', str_args)
name = term_call % (', '.join(str_args))
term = Term.new(name, integral, domain.regions[rname], **args)
term.setup()
call_mode = 'weak' if term.names.virtual else 'eval'
self.report('call mode:', call_mode)
out = term.evaluate(mode=call_mode, ret_status=True)
if call_mode == 'eval':
vals, status = out
vals = nm.array(vals)
else:
vals, iels, status = out
if isinstance(vals, tuple):
# Dynamic connectivity terms.
vals = vals[0]
_ok = nm.isfinite(vals).all()
ok = ok and _ok
self.report('values shape: %s' % (vals.shape,))
if not _ok:
self.report('values are not finite!')
self.report(vals)
_ok = status == 0
if not _ok:
self.report('status is %d!' % status)
ok = ok and _ok
if term.names.virtual:
# Test differentiation w.r.t. state variables in the weak
# mode.
svars = term.get_state_variables(unknown_only=True)
for svar in svars:
vals, iels, status = term.evaluate(mode=call_mode,
diff_var=svar.name,
ret_status=True)
if isinstance(vals, tuple):
# Dynamic connectivity terms.
vals = vals[0]
_ok = status == 0
ok = ok and _ok
self.report('diff: %s' % svar.name)
if not _ok:
self.report('status is %d!' % status)
_ok = nm.isfinite(vals).all()
ok = ok and _ok
self.report('values shape: %s' % (vals.shape,))
if not _ok:
self.report('values are not finite!')
self.report(vals)
return ok
def main():
parser = ArgumentParser(description=__doc__)
parser.add_argument('--version', action='version', version='%(prog)s')
parser.add_argument('-b',
'--basis',
metavar='name',
action='store',
dest='basis',
default='lagrange',
help=helps['basis'])
parser.add_argument('-n',
'--max-order',
metavar='order',
type=int,
action='store',
dest='max_order',
default=10,
help=helps['max_order'])
parser.add_argument('-m',
'--matrix',
action='store',
dest='matrix_type',
choices=['laplace', 'elasticity', 'smass', 'vmass'],
default='laplace',
help=helps['matrix_type'])
parser.add_argument('-g',
'--geometry',
metavar='name',
action='store',
dest='geometry',
default='2_4',
help=helps['geometry'])
parser.add_argument('-o',
'--output-dir',
metavar='path',
action='store',
dest='output_dir',
default=None,
help=helps['output_dir'])
parser.add_argument('--no-show',
action='store_false',
dest='show',
default=True,
help=helps['no_show'])
options = parser.parse_args()
dim, n_ep = int(options.geometry[0]), int(options.geometry[2])
output('reference element geometry:')
output(' dimension: %d, vertices: %d' % (dim, n_ep))
n_c = {
'laplace': 1,
'elasticity': dim,
'smass': 1,
'vmass': dim
}[options.matrix_type]
output('matrix type:', options.matrix_type)
output('number of variable components:', n_c)
output('polynomial space:', options.basis)
output('max. order:', options.max_order)
mesh = Mesh.from_file(data_dir +
'/meshes/elements/%s_1.mesh' % options.geometry)
domain = FEDomain('domain', mesh)
omega = domain.create_region('Omega', 'all')
orders = nm.arange(1, options.max_order + 1, dtype=nm.int32)
conds = []
for order in orders:
output('order:', order, '...')
field = Field.from_args('fu',
nm.float64,
n_c,
omega,
approx_order=order,
space='H1',
poly_space_base=options.basis)
quad_order = 2 * field.approx_order
output('quadrature order:', quad_order)
integral = Integral('i', order=quad_order)
qp, _ = integral.get_qp(options.geometry)
output('number of quadrature points:', qp.shape[0])
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
m = Material('m', D=stiffness_from_lame(dim, 1.0, 1.0))
if options.matrix_type == 'laplace':
term = Term.new('dw_laplace(v, u)', integral, omega, v=v, u=u)
n_zero = 1
elif options.matrix_type == 'elasticity':
term = Term.new('dw_lin_elastic(m.D, v, u)',
integral,
omega,
m=m,
v=v,
u=u)
n_zero = (dim + 1) * dim // 2
elif options.matrix_type in ('smass', 'vmass'):
term = Term.new('dw_dot(v, u)', integral, omega, v=v, u=u)
n_zero = 0
term.setup()
output('assembling...')
timer = Timer(start=True)
mtx, iels = term.evaluate(mode='weak', diff_var='u')
output('...done in %.2f s' % timer.stop())
mtx = mtx[0, 0]
try:
assert_(nm.max(nm.abs(mtx - mtx.T)) < 1e-10)
except:
from sfepy.base.base import debug
debug()
output('matrix shape:', mtx.shape)
eigs = eig(mtx, method='eig.sgscipy', eigenvectors=False)
eigs.sort()
# Zero 'true' zeros.
eigs[:n_zero] = 0.0
ii = nm.where(eigs < 0.0)[0]
if len(ii):
output('matrix is not positive semi-definite!')
ii = nm.where(eigs[n_zero:] < 1e-12)[0]
if len(ii):
output('matrix has more than %d zero eigenvalues!' % n_zero)
output('smallest eigs:\n', eigs[:10])
ii = nm.where(eigs > 0.0)[0]
emin, emax = eigs[ii[[0, -1]]]
output('min:', emin, 'max:', emax)
cond = emax / emin
conds.append(cond)
output('condition number:', cond)
output('...done')
if options.output_dir is not None:
indir = partial(op.join, options.output_dir)
else:
indir = None
plt.rcParams['font.size'] = 12
plt.rcParams['lines.linewidth'] = 3
fig, ax = plt.subplots()
ax.semilogy(orders, conds)
ax.set_xticks(orders)
ax.set_xticklabels(orders)
ax.set_xlabel('polynomial order')
ax.set_ylabel('condition number')
ax.set_title(f'{options.basis.capitalize()} basis')
ax.grid()
plt.tight_layout()
if indir is not None:
fig.savefig(indir(f'{options.basis}-{options.matrix_type}-'
f'{options.geometry}-{options.max_order}-xlin.png'),
bbox_inches='tight')
fig, ax = plt.subplots()
ax.loglog(orders, conds)
ax.set_xticks(orders)
ax.set_xticklabels(orders)
ax.set_xlabel('polynomial order')
ax.set_ylabel('condition number')
ax.set_title(f'{options.basis.capitalize()} basis')
ax.grid()
plt.tight_layout()
if indir is not None:
fig.savefig(indir(f'{options.basis}-{options.matrix_type}-'
f'{options.geometry}-{options.max_order}-xlog.png'),
bbox_inches='tight')
if options.show:
plt.show()
def create_local_problem(omega_gi, orders):
"""
Local problem definition using a domain corresponding to the global region
`omega_gi`.
"""
order_u, order_p = orders
mesh = omega_gi.domain.mesh
# All tasks have the whole mesh.
bbox = mesh.get_bounding_box()
min_x, max_x = bbox[:, 0]
eps_x = 1e-8 * (max_x - min_x)
min_y, max_y = bbox[:, 1]
eps_y = 1e-8 * (max_y - min_y)
mesh_i = Mesh.from_region(omega_gi, mesh, localize=True)
domain_i = FEDomain('domain_i', mesh_i)
omega_i = domain_i.create_region('Omega', 'all')
gamma1_i = domain_i.create_region('Gamma1',
'vertices in (x < %.10f)'
% (min_x + eps_x),
'facet', allow_empty=True)
gamma2_i = domain_i.create_region('Gamma2',
'vertices in (x > %.10f)'
% (max_x - eps_x),
'facet', allow_empty=True)
gamma3_i = domain_i.create_region('Gamma3',
'vertices in (y < %.10f)'
% (min_y + eps_y),
'facet', allow_empty=True)
field1_i = Field.from_args('fu', nm.float64, mesh.dim, omega_i,
approx_order=order_u)
field2_i = Field.from_args('fp', nm.float64, 1, omega_i,
approx_order=order_p)
output('field 1: number of local DOFs:', field1_i.n_nod)
output('field 2: number of local DOFs:', field2_i.n_nod)
u_i = FieldVariable('u_i', 'unknown', field1_i, order=0)
v_i = FieldVariable('v_i', 'test', field1_i, primary_var_name='u_i')
p_i = FieldVariable('p_i', 'unknown', field2_i, order=1)
q_i = FieldVariable('q_i', 'test', field2_i, primary_var_name='p_i')
if mesh.dim == 2:
alpha = 1e2 * nm.array([[0.132], [0.132], [0.092]])
else:
alpha = 1e2 * nm.array([[0.132], [0.132], [0.132],
[0.092], [0.092], [0.092]])
mat = Material('m', D=stiffness_from_lame(mesh.dim, lam=10, mu=5),
k=1, alpha=alpha)
integral = Integral('i', order=2*(max(order_u, order_p)))
t11 = Term.new('dw_lin_elastic(m.D, v_i, u_i)',
integral, omega_i, m=mat, v_i=v_i, u_i=u_i)
t12 = Term.new('dw_biot(m.alpha, v_i, p_i)',
integral, omega_i, m=mat, v_i=v_i, p_i=p_i)
t21 = Term.new('dw_biot(m.alpha, u_i, q_i)',
integral, omega_i, m=mat, u_i=u_i, q_i=q_i)
t22 = Term.new('dw_laplace(m.k, q_i, p_i)',
integral, omega_i, m=mat, q_i=q_i, p_i=p_i)
eq1 = Equation('eq1', t11 - t12)
eq2 = Equation('eq1', t21 + t22)
eqs = Equations([eq1, eq2])
ebc1 = EssentialBC('ebc1', gamma1_i, {'u_i.all' : 0.0})
ebc2 = EssentialBC('ebc2', gamma2_i, {'u_i.0' : 0.05})
def bc_fun(ts, coors, **kwargs):
val = 0.3 * nm.sin(4 * nm.pi * (coors[:, 0] - min_x) / (max_x - min_x))
return val
fun = Function('bc_fun', bc_fun)
ebc3 = EssentialBC('ebc3', gamma3_i, {'p_i.all' : fun})
pb = Problem('problem_i', equations=eqs, active_only=False)
pb.time_update(ebcs=Conditions([ebc1, ebc2, ebc3]))
pb.update_materials()
return pb
def make_l2_projection_data(target, eval_data, order=None,
ls=None, nls_options=None):
"""
Project scalar data to a scalar `target` field variable using the
:math:`L^2` dot product.
Parameters
----------
target : FieldVariable instance
The target variable.
eval_data : callable or array
Either a material-like function `eval_data()`, or an array of values in
quadrature points that has to be reshapable to the shape required by
`order`.
order : int, optional
The quadrature order. If not given, it is set to
`2 * target.field.approx_order`.
"""
if order is None:
order = 2 * target.field.approx_order
integral = Integral('i', order=order)
un = FieldVariable('u', 'unknown', target.field)
v = FieldVariable('v', 'test', un.field, primary_var_name=un.name)
lhs = Term.new('dw_volume_dot(v, %s)' % un.name, integral,
un.field.region, v=v, **{un.name : un})
def _eval_data(ts, coors, mode, **kwargs):
if mode == 'qp':
if callable(eval_data):
val = eval_data(ts, coors, mode, **kwargs)
else:
val = eval_data.reshape((coors.shape[0], 1, 1))
return {'val' : val}
m = Material('m', function=_eval_data)
rhs = Term.new('dw_volume_lvf(m.val, v)', integral, un.field.region,
m=m, v=v)
eq = Equation('projection', lhs - rhs)
eqs = Equations([eq])
if ls is None:
ls = ScipyDirect({})
if nls_options is None:
nls_options = {}
nls_status = IndexedStruct()
nls = Newton(nls_options, lin_solver=ls, status=nls_status)
pb = Problem('aux', equations=eqs, nls=nls, ls=ls)
pb.time_update()
# This sets the un variable with the projection solution.
pb.solve()
# Copy the projection solution to target.
target.set_data(un())
if nls_status.condition != 0:
output('L2 projection: solver did not converge!')
def _solve(self, property_array):
"""
Solve the Sfepy problem for one sample.
Args:
property_array: array of shape (n_x, n_y, 2) where the last
index is for Lame's parameter and shear modulus,
respectively.
Returns:
the strain field of shape (n_x, n_y, 2) where the last
index represents the x and y displacements
"""
shape = property_array.shape[:-1]
mesh = self._get_mesh(shape)
domain = Domain('domain', mesh)
region_all = domain.create_region('region_all', 'all')
field = Field.from_args('fu', np.float64, 'vector', region_all, # pylint: disable=no-member
approx_order=2)
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
m = self._get_material(property_array, domain)
integral = Integral('i', order=4)
t1 = Term.new('dw_lin_elastic_iso(m.lam, m.mu, v, u)',
integral, region_all, m=m, v=v, u=u)
eq = Equation('balance_of_forces', t1)
eqs = Equations([eq])
epbcs, functions = self._get_periodicBCs(domain)
ebcs = self._get_displacementBCs(domain)
lcbcs = self._get_linear_combinationBCs(domain)
ls = ScipyDirect({})
pb = Problem('elasticity', equations=eqs, auto_solvers=None)
pb.time_update(
ebcs=ebcs, epbcs=epbcs, lcbcs=lcbcs, functions=functions)
ev = pb.get_evaluator()
nls = Newton({}, lin_solver=ls,
fun=ev.eval_residual, fun_grad=ev.eval_tangent_matrix)
try:
pb.set_solvers_instances(ls, nls)
except AttributeError:
pb.set_solver(nls)
vec = pb.solve()
u = vec.create_output_dict()['u'].data
u_reshape = np.reshape(u, (tuple(x + 1 for x in shape) + u.shape[-1:]))
dims = domain.get_mesh_bounding_box().shape[1]
strain = np.squeeze(
pb.evaluate(
'ev_cauchy_strain.{dim}.region_all(u)'.format(
dim=dims),
mode='el_avg',
copy_materials=False))
strain_reshape = np.reshape(strain, (shape + strain.shape[-1:]))
stress = np.squeeze(
pb.evaluate(
'ev_cauchy_stress.{dim}.region_all(m.D, u)'.format(
dim=dims),
mode='el_avg',
copy_materials=False))
stress_reshape = np.reshape(stress, (shape + stress.shape[-1:]))
return strain_reshape, u_reshape, stress_reshape
def main(cli_args):
dims = parse_argument_list(cli_args.dims, float)
shape = parse_argument_list(cli_args.shape, int)
centre = parse_argument_list(cli_args.centre, float)
material_parameters = parse_argument_list(cli_args.material_parameters,
float)
order = cli_args.order
ts_vals = cli_args.ts.split(',')
ts = {
't0' : float(ts_vals[0]), 't1' : float(ts_vals[1]),
'n_step' : int(ts_vals[2])}
do_plot = cli_args.plot
### Mesh and regions ###
mesh = gen_block_mesh(
dims, shape, centre, name='block', verbose=False)
domain = FEDomain('domain', mesh)
omega = domain.create_region('Omega', 'all')
lbn, rtf = domain.get_mesh_bounding_box()
box_regions = define_box_regions(3, lbn, rtf)
regions = dict([
[r, domain.create_region(r, box_regions[r][0], box_regions[r][1])]
for r in box_regions])
### Fields ###
scalar_field = Field.from_args(
'fu', np.float64, 'scalar', omega, approx_order=order-1)
vector_field = Field.from_args(
'fv', np.float64, 'vector', omega, approx_order=order)
u = FieldVariable('u', 'unknown', vector_field, history=1)
v = FieldVariable('v', 'test', vector_field, primary_var_name='u')
p = FieldVariable('p', 'unknown', scalar_field, history=1)
q = FieldVariable('q', 'test', scalar_field, primary_var_name='p')
### Material ###
c10, c01 = material_parameters
m = Material(
'm', mu=2*c10, kappa=2*c01,
)
### Boundary conditions ###
x_sym = EssentialBC('x_sym', regions['Left'], {'u.0' : 0.0})
y_sym = EssentialBC('y_sym', regions['Near'], {'u.1' : 0.0})
z_sym = EssentialBC('z_sym', regions['Bottom'], {'u.2' : 0.0})
disp_fun = Function('disp_fun', get_displacement)
displacement = EssentialBC(
'displacement', regions['Right'], {'u.0' : disp_fun})
ebcs = Conditions([x_sym, y_sym, z_sym, displacement])
### Terms and equations ###
integral = Integral('i', order=2*order)
term_neohook = Term.new(
'dw_tl_he_neohook(m.mu, v, u)',
integral, omega, m=m, v=v, u=u)
term_mooney = Term.new(
'dw_tl_he_mooney_rivlin(m.kappa, v, u)',
integral, omega, m=m, v=v, u=u)
term_pressure = Term.new(
'dw_tl_bulk_pressure(v, u, p)',
integral, omega, v=v, u=u, p=p)
term_volume_change = Term.new(
'dw_tl_volume(q, u)',
integral, omega, q=q, u=u, term_mode='volume')
term_volume = Term.new(
'dw_volume_integrate(q)',
integral, omega, q=q)
eq_balance = Equation('balance', term_neohook+term_mooney+term_pressure)
eq_volume = Equation('volume', term_volume_change-term_volume)
equations = Equations([eq_balance, eq_volume])
### Solvers ###
ls = ScipyDirect({})
nls_status = IndexedStruct()
nls = Newton(
{'i_max' : 5},
lin_solver=ls, status=nls_status
)
### Problem ###
pb = Problem('hyper', equations=equations)
pb.set_bcs(ebcs=ebcs)
pb.set_ics(ics=Conditions([]))
tss = SimpleTimeSteppingSolver(ts, nls=nls, context=pb)
pb.set_solver(tss)
### Solution ###
axial_stress = []
axial_displacement = []
def stress_strain_fun(*args, **kwargs):
return stress_strain(
*args, order=order, global_stress=axial_stress,
global_displacement=axial_displacement, **kwargs)
pb.solve(save_results=True, post_process_hook=stress_strain_fun)
if do_plot:
plot_graphs(
material_parameters, axial_stress, axial_displacement,
undeformed_length=dims[0])
top = domain.create_region('Top', 'vertices in z > %.10f' % (max_z - eps),
'vertex')
field = Field.from_args('fu', np.float64, 'vector', omega, approx_order=1)
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
# these are for stainless steel 316L
m = Material('m',
D=stiffness_from_youngpoisson(dim=3, young=1.93e9, poisson=0.275),
rho=8000.0)
integral = Integral('i', order=1)
t1 = Term.new('dw_lin_elastic(m.D, v, u)', integral, omega, m=m, v=v, u=u)
eq1 = Equation('balance_of_forces', t1)
eqs = Equations([eq1])
# materials = {
# 'solid': ({'K': 1e3, # bulk modulus
# 'mu': 20e0, # shear modulus of neoHookean term
# 'kappa': 10e0, # shear modulus of Mooney-Rivlin term
# },),
# }
# equations = {
# 'balance': """dw_ul_he_neohook.3.Omega( solid.mu, v, u )
# + dw_ul_he_mooney_rivlin.3.Omega(solid.kappa, v, u)
# + dw_ul_bulk_penalty.3.Omega( solid.K, v, u )
# = 0""",
# }
def make_l2_projection_data(target,
eval_data,
order=None,
ls=None,
nls_options=None):
"""
Project scalar data to a scalar `target` field variable using the
:math:`L^2` dot product.
Parameters
----------
target : FieldVariable instance
The target variable.
eval_data : callable or array
Either a material-like function `eval_data()`, or an array of values in
quadrature points that has to be reshapable to the shape required by
`order`.
order : int, optional
The quadrature order. If not given, it is set to
`2 * target.field.approx_order`.
"""
if order is None:
order = 2 * target.field.approx_order
integral = Integral('i', order=order)
un = FieldVariable('u', 'unknown', target.field)
v = FieldVariable('v', 'test', un.field, primary_var_name=un.name)
lhs = Term.new('dw_volume_dot(v, %s)' % un.name,
integral,
un.field.region,
v=v,
**{un.name: un})
def _eval_data(ts, coors, mode, **kwargs):
if mode == 'qp':
if callable(eval_data):
val = eval_data(ts, coors, mode, **kwargs)
else:
val = eval_data.reshape((coors.shape[0], 1, 1))
return {'val': val}
m = Material('m', function=_eval_data)
rhs = Term.new('dw_volume_lvf(m.val, v)',
integral,
un.field.region,
m=m,
v=v)
eq = Equation('projection', lhs - rhs)
eqs = Equations([eq])
if ls is None:
ls = ScipyDirect({})
if nls_options is None:
nls_options = {}
nls_status = IndexedStruct()
nls = Newton(nls_options, lin_solver=ls, status=nls_status)
pb = Problem('aux', equations=eqs, nls=nls, ls=ls)
pb.time_update()
# This sets the un variable with the projection solution.
pb.solve()
# Copy the projection solution to target.
target.set_data(un())
if nls_status.condition != 0:
output('L2 projection: solver did not converge!')
c = Material('c', val=1.0)
# bc_fun = Function('shift_u_fun', shift_u_fun, extra_args={'shift' : 0.01})
f = Material('f', function=get_forcing_term)
# f = Material('f', val = 10.0)
# f = Material('f', val=[[10.0],[10.0]])
# f = Material('f', val=[[0],[0]])
integral = Integral('i', order=2)
# t1 = Term.new('dw_lin_elastic_iso(m.lam, m.mu, v, u)',
# integral, omega, m=m, v=v, u=u)
# t2 = Term.new('dw_volume_lvf(f.val, v)', integral, omega, f=f, v=v)
# eq = Equation('balance', t1 + t2)
# eqs = Equations([eq])
t1 = Term.new('dw_laplace( c.val, s, t )', integral, omega, c=c, t=t, s=s)
# t2 = Term.new('dw_volume_dot( f, s, t )', integral, omega, f=f, t=t, s=s)
t2 = Term.new('dw_volume_dot( f.val, s, t )', integral, omega, f=f, t=t, s=s)
# t2 = Term.new('dw_volume_dot( f.val, s )', integral, omega, f=f, s=s)
eq = Equation('balance', t1 - t2)
eqs = Equations([eq])
# def set_right_bc_impl(ts, coors, bc=None, problem=None, **kwargs):
# x = coors[:,0]
# y = coors[:,1]
# val = np.sin(x)+np.sin(y)
# return val
def set_bc_impl(ts, coors, bc=None, problem=None, **kwargs):
def main():
from sfepy import data_dir
parser = OptionParser(usage=usage, version='%prog')
parser.add_option('-s', '--show',
action="store_true", dest='show',
default=False, help=help['show'])
options, args = parser.parse_args()
options_probe = True
folder = str(uuid.uuid4())
os.mkdir(folder)
os.chdir(folder)
file = open('README.txt', 'w')
file.write('DIMENSIONS\n')
file.write('Lx = '+str(dims[0])+' Ly = '+str(dims[1])+' Lz = '+str(dims[2])+'\n')
file.write('DISCRETIZATION (NX, NY, NZ)\n')
file.write(str(NX)+' '+str(NY)+' '+str(NZ)+'\n')
file.write('MATERIALS\n')
file.write(str(E_f)+' '+str(nu_f)+' '+str(E_m)+' '+str(nu_m)+'\n')
#mesh = Mesh.from_file(data_dir + '/meshes/2d/rectangle_tri.mesh')
mesh = mesh_generators.gen_block_mesh(dims,shape,centre,name='block')
domain = FEDomain('domain', mesh)
min_x, max_x = domain.get_mesh_bounding_box()[:,0]
min_y, max_y = domain.get_mesh_bounding_box()[:,1]
min_z, max_z = domain.get_mesh_bounding_box()[:,2]
eps = 1e-8 * (max_x - min_x)
print min_x, max_x
print min_y, max_y
print min_z, max_z
R1 = domain.create_region('Ym',
'vertices in z < %.10f' % (max_z/2))
R2 = domain.create_region('Yf',
'vertices in z >= %.10f' % (min_z/2))
omega = domain.create_region('Omega', 'all')
gamma1 = domain.create_region('Left',
'vertices in x < %.10f' % (min_x + eps),
'facet')
gamma2 = domain.create_region('Right',
'vertices in x > %.10f' % (max_x - eps),
'facet')
gamma3 = domain.create_region('Front',
'vertices in y < %.10f' % (min_y + eps),
'facet')
gamma4 = domain.create_region('Back',
'vertices in y > %.10f' % (max_y - eps),
'facet')
gamma5 = domain.create_region('Bottom',
'vertices in z < %.10f' % (min_z + eps),
'facet')
gamma6 = domain.create_region('Top',
'vertices in z > %.10f' % (max_z - eps),
'facet')
field = Field.from_args('fu', nm.float64, 'vector', omega, approx_order=2)
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
mu=1.1
lam=1.0
m = Material('m', lam=lam, mu=mu)
f = Material('f', val=[[0.0], [0.0],[-1.0]])
load = Material('Load',val=[[0.0],[0.0],[-Load]])
D = stiffness_from_lame(3,lam, mu)
mat = Material('Mat', D=D)
get_mat = Function('get_mat1',get_mat1)
get_mat_f = Function('get_mat_f',get_mat1)
integral = Integral('i', order=3)
s_integral = Integral('is',order=2)
t1 = Term.new('dw_lin_elastic(Mat.D, v, u)',
integral, omega, Mat=mat, v=v, u=u)
t2 = Term.new('dw_volume_lvf(f.val, v)', integral, omega, f=f, v=v)
#t3 = Term.new('DotProductSurfaceTerm(Load.val, v)',s_integral,gamma5,Load=load,v=v)
t3 = Term.new('dw_surface_ltr( Load.val, v )',s_integral,gamma6,Load=load,v=v)
eq = Equation('balance', t1 + t2 + t3)
eqs = Equations([eq])
fix_u = EssentialBC('fix_u', gamma1, {'u.all' : 0.0})
left_bc = EssentialBC('Left', gamma1, {'u.0' : 0.0})
right_bc = EssentialBC('Right', gamma2, {'u.0' : 0.0})
back_bc = EssentialBC('Front', gamma3, {'u.1' : 0.0})
front_bc = EssentialBC('Back', gamma4, {'u.1' : 0.0})
bottom_bc = EssentialBC('Bottom', gamma5, {'u.all' : 0.0})
top_bc = EssentialBC('Top', gamma6, {'u.2' : 0.2})
bc=[left_bc,right_bc,back_bc,front_bc,bottom_bc]
#bc=[bottom_bc,top_bc]
##############################
# ##### SOLVER SECTION #####
##############################
conf = Struct(method='bcgsl', precond='jacobi', sub_precond=None,
i_max=10000, eps_a=1e-50, eps_r=1e-10, eps_d=1e4,
verbose=True)
ls = PETScKrylovSolver(conf)
file.write(str(ls.name)+' '+str(ls.conf.method)+' '+str(ls.conf.precond)+' '+str(ls.conf.eps_r)+' '+str(ls.conf.i_max)+'\n' )
nls_status = IndexedStruct()
nls = Newton({'i_max':1,'eps_a':1e-10}, lin_solver=ls, status=nls_status)
pb = Problem('elasticity', equations=eqs, nls=nls, ls=ls)
dd=pb.get_materials()['Mat']
dd.set_function(get_mat1)
#xload = pb.get_materials()['f']
#xload.set_function(get_mat_f)
pb.save_regions_as_groups('regions')
pb.time_update(ebcs=Conditions(bc))
vec = pb.solve()
print nls_status
file.write('TIME TO SOLVE\n')
file.write(str(nls.status.time_stats['solve'])+'\n')
file.write('TIME TO CREATE MATRIX\n')
file.write(str(nls.status.time_stats['matrix'])+'\n')
ev = pb.evaluate
out = vec.create_output_dict()
strain = ev('ev_cauchy_strain.3.Omega(u)', mode='el_avg')
stress = ev('ev_cauchy_stress.3.Omega(Mat.D, u)', mode='el_avg',
copy_materials=False)
out['cauchy_strain'] = Struct(name='output_data', mode='cell',
data=strain, dofs=None)
out['cauchy_stress'] = Struct(name='output_data', mode='cell',
data=stress, dofs=None)
pb.save_state('strain.vtk', out=out)
print nls_status
file.close()
def main(cli_args):
dims = parse_argument_list(cli_args.dims, float)
shape = parse_argument_list(cli_args.shape, int)
centre = parse_argument_list(cli_args.centre, float)
material_parameters = parse_argument_list(cli_args.material_parameters,
float)
order = cli_args.order
ts_vals = cli_args.ts.split(',')
ts = {
't0': float(ts_vals[0]),
't1': float(ts_vals[1]),
'n_step': int(ts_vals[2])
}
do_plot = cli_args.plot
### Mesh and regions ###
mesh = gen_block_mesh(dims, shape, centre, name='block', verbose=False)
domain = FEDomain('domain', mesh)
omega = domain.create_region('Omega', 'all')
lbn, rtf = domain.get_mesh_bounding_box()
box_regions = define_box_regions(3, lbn, rtf)
regions = dict(
[[r, domain.create_region(r, box_regions[r][0], box_regions[r][1])]
for r in box_regions])
### Fields ###
scalar_field = Field.from_args('fu',
np.float64,
'scalar',
omega,
approx_order=order - 1)
vector_field = Field.from_args('fv',
np.float64,
'vector',
omega,
approx_order=order)
u = FieldVariable('u', 'unknown', vector_field, history=1)
v = FieldVariable('v', 'test', vector_field, primary_var_name='u')
p = FieldVariable('p', 'unknown', scalar_field, history=1)
q = FieldVariable('q', 'test', scalar_field, primary_var_name='p')
### Material ###
c10, c01 = material_parameters
m = Material(
'm',
mu=2 * c10,
kappa=2 * c01,
)
### Boundary conditions ###
x_sym = EssentialBC('x_sym', regions['Left'], {'u.0': 0.0})
y_sym = EssentialBC('y_sym', regions['Near'], {'u.1': 0.0})
z_sym = EssentialBC('z_sym', regions['Bottom'], {'u.2': 0.0})
disp_fun = Function('disp_fun', get_displacement)
displacement = EssentialBC('displacement', regions['Right'],
{'u.0': disp_fun})
ebcs = Conditions([x_sym, y_sym, z_sym, displacement])
### Terms and equations ###
integral = Integral('i', order=2 * order)
term_neohook = Term.new('dw_tl_he_neohook(m.mu, v, u)',
integral,
omega,
m=m,
v=v,
u=u)
term_mooney = Term.new('dw_tl_he_mooney_rivlin(m.kappa, v, u)',
integral,
omega,
m=m,
v=v,
u=u)
term_pressure = Term.new('dw_tl_bulk_pressure(v, u, p)',
integral,
omega,
v=v,
u=u,
p=p)
term_volume_change = Term.new('dw_tl_volume(q, u)',
integral,
omega,
q=q,
u=u,
term_mode='volume')
term_volume = Term.new('dw_volume_integrate(q)', integral, omega, q=q)
eq_balance = Equation('balance',
term_neohook + term_mooney + term_pressure)
eq_volume = Equation('volume', term_volume_change - term_volume)
equations = Equations([eq_balance, eq_volume])
### Solvers ###
ls = ScipyDirect({})
nls_status = IndexedStruct()
nls = Newton({'i_max': 5}, lin_solver=ls, status=nls_status)
### Problem ###
pb = Problem('hyper', equations=equations)
pb.set_bcs(ebcs=ebcs)
pb.set_ics(ics=Conditions([]))
tss = SimpleTimeSteppingSolver(ts, nls=nls, context=pb)
pb.set_solver(tss)
### Solution ###
axial_stress = []
axial_displacement = []
def stress_strain_fun(*args, **kwargs):
return stress_strain(*args,
order=order,
global_stress=axial_stress,
global_displacement=axial_displacement,
**kwargs)
pb.solve(save_results=True, post_process_hook=stress_strain_fun)
if do_plot:
plot_graphs(material_parameters,
axial_stress,
axial_displacement,
undeformed_length=dims[0])
def main():
from sfepy import data_dir
parser = OptionParser(usage=usage, version='%prog')
parser.add_option('--young', metavar='float', type=float,
action='store', dest='young',
default=2000.0, help=helps['young'])
parser.add_option('--poisson', metavar='float', type=float,
action='store', dest='poisson',
default=0.4, help=helps['poisson'])
parser.add_option('--load', metavar='float', type=float,
action='store', dest='load',
default=-1000.0, help=helps['load'])
parser.add_option('--order', metavar='int', type=int,
action='store', dest='order',
default=1, help=helps['order'])
parser.add_option('-r', '--refine', metavar='int', type=int,
action='store', dest='refine',
default=0, help=helps['refine'])
parser.add_option('-s', '--show',
action="store_true", dest='show',
default=False, help=helps['show'])
parser.add_option('-p', '--probe',
action="store_true", dest='probe',
default=False, help=helps['probe'])
options, args = parser.parse_args()
assert_((0.0 < options.poisson < 0.5),
"Poisson's ratio must be in ]0, 0.5[!")
assert_((0 < options.order),
'displacement approximation order must be at least 1!')
output('using values:')
output(" Young's modulus:", options.young)
output(" Poisson's ratio:", options.poisson)
output(' vertical load:', options.load)
output('uniform mesh refinement level:', options.refine)
# Build the problem definition.
mesh = Mesh.from_file(data_dir + '/meshes/2d/its2D.mesh')
domain = FEDomain('domain', mesh)
if options.refine > 0:
for ii in range(options.refine):
output('refine %d...' % ii)
domain = domain.refine()
output('... %d nodes %d elements'
% (domain.shape.n_nod, domain.shape.n_el))
omega = domain.create_region('Omega', 'all')
left = domain.create_region('Left',
'vertices in x < 0.001', 'facet')
bottom = domain.create_region('Bottom',
'vertices in y < 0.001', 'facet')
top = domain.create_region('Top', 'vertex 2', 'vertex')
field = Field.from_args('fu', nm.float64, 'vector', omega,
approx_order=options.order)
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
D = stiffness_from_youngpoisson(2, options.young, options.poisson)
asphalt = Material('Asphalt', D=D)
load = Material('Load', values={'.val' : [0.0, options.load]})
integral = Integral('i', order=2*options.order)
integral0 = Integral('i', order=0)
t1 = Term.new('dw_lin_elastic(Asphalt.D, v, u)',
integral, omega, Asphalt=asphalt, v=v, u=u)
t2 = Term.new('dw_point_load(Load.val, v)',
integral0, top, Load=load, v=v)
eq = Equation('balance', t1 - t2)
eqs = Equations([eq])
xsym = EssentialBC('XSym', bottom, {'u.1' : 0.0})
ysym = EssentialBC('YSym', left, {'u.0' : 0.0})
ls = ScipyDirect({})
nls_status = IndexedStruct()
nls = Newton({}, lin_solver=ls, status=nls_status)
pb = Problem('elasticity', equations=eqs, nls=nls, ls=ls)
pb.time_update(ebcs=Conditions([xsym, ysym]))
# Solve the problem.
state = pb.solve()
output(nls_status)
# Postprocess the solution.
out = state.create_output_dict()
out = stress_strain(out, pb, state, extend=True)
pb.save_state('its2D_interactive.vtk', out=out)
gdata = geometry_data['2_3']
nc = len(gdata.coors)
integral_vn = Integral('ivn', coors=gdata.coors,
weights=[gdata.volume / nc] * nc)
nodal_stress(out, pb, state, integrals=Integrals([integral_vn]))
if options.probe:
# Probe the solution.
probes, labels = gen_lines(pb)
sfield = Field.from_args('sym_tensor', nm.float64, 3, omega,
approx_order=options.order - 1)
stress = FieldVariable('stress', 'parameter', sfield,
primary_var_name='(set-to-None)')
strain = FieldVariable('strain', 'parameter', sfield,
primary_var_name='(set-to-None)')
cfield = Field.from_args('component', nm.float64, 1, omega,
approx_order=options.order - 1)
component = FieldVariable('component', 'parameter', cfield,
primary_var_name='(set-to-None)')
ev = pb.evaluate
order = 2 * (options.order - 1)
strain_qp = ev('ev_cauchy_strain.%d.Omega(u)' % order, mode='qp')
stress_qp = ev('ev_cauchy_stress.%d.Omega(Asphalt.D, u)' % order,
mode='qp', copy_materials=False)
project_by_component(strain, strain_qp, component, order)
project_by_component(stress, stress_qp, component, order)
all_results = []
for ii, probe in enumerate(probes):
fig, results = probe_results(u, strain, stress, probe, labels[ii])
fig.savefig('its2D_interactive_probe_%d.png' % ii)
all_results.append(results)
for ii, results in enumerate(all_results):
output('probe %d:' % ii)
output.level += 2
for key, res in ordered_iteritems(results):
output(key + ':')
val = res[1]
output(' min: %+.2e, mean: %+.2e, max: %+.2e'
% (val.min(), val.mean(), val.max()))
output.level -= 2
if options.show:
# Show the solution. If the approximation order is greater than 1, the
# extra DOFs are simply thrown away.
from sfepy.postprocess.viewer import Viewer
view = Viewer('its2D_interactive.vtk')
view(vector_mode='warp_norm', rel_scaling=1,
is_scalar_bar=True, is_wireframe=True)
def main():
from sfepy import data_dir
parser = OptionParser(usage=usage, version='%prog')
parser.add_option('-s', '--show',
action="store_true", dest='show',
default=False, help=help['show'])
options, args = parser.parse_args()
mesh = Mesh.from_file(data_dir + '/meshes/2d/rectangle_tri.mesh')
domain = Domain('domain', mesh)
min_x, max_x = domain.get_mesh_bounding_box()[:,0]
eps = 1e-8 * (max_x - min_x)
omega = domain.create_region('Omega', 'all')
gamma1 = domain.create_region('Gamma1',
'nodes in x < %.10f' % (min_x + eps))
gamma2 = domain.create_region('Gamma2',
'nodes in x > %.10f' % (max_x - eps))
field = Field('fu', nm.float64, 'vector', omega,
space='H1', poly_space_base='lagrange', approx_order=2)
u = FieldVariable('u', 'unknown', field, mesh.dim)
v = FieldVariable('v', 'test', field, mesh.dim, primary_var_name='u')
m = Material('m', lam=1.0, mu=1.0)
f = Material('f', val=[[0.02], [0.01]])
integral = Integral('i', order=3)
t1 = Term.new('dw_lin_elastic_iso(m.lam, m.mu, v, u)',
integral, omega, m=m, v=v, u=u)
t2 = Term.new('dw_volume_lvf(f.val, v)', integral, omega, f=f, v=v)
eq = Equation('balance', t1 + t2)
eqs = Equations([eq])
fix_u = EssentialBC('fix_u', gamma1, {'u.all' : 0.0})
bc_fun = Function('shift_u_fun', shift_u_fun, extra_args={'shift' : 0.01})
shift_u = EssentialBC('shift_u', gamma2, {'u.0' : bc_fun})
ls = ScipyDirect({})
nls_status = IndexedStruct()
nls = Newton({}, lin_solver=ls, status=nls_status)
pb = ProblemDefinition('elasticity', equations=eqs, nls=nls, ls=ls)
pb.save_regions_as_groups('regions')
pb.time_update(ebcs=Conditions([fix_u, shift_u]))
vec = pb.solve()
print nls_status
pb.save_state('linear_elasticity.vtk', vec)
if options.show:
view = Viewer('linear_elasticity.vtk')
view(vector_mode='warp_norm', rel_scaling=2,
is_scalar_bar=True, is_wireframe=True)
def create_local_problem(omega_gi, order):
"""
Local problem definition using a domain corresponding to the global region
`omega_gi`.
"""
mesh = omega_gi.domain.mesh
# All tasks have the whole mesh.
bbox = mesh.get_bounding_box()
min_x, max_x = bbox[:, 0]
eps_x = 1e-8 * (max_x - min_x)
mesh_i = Mesh.from_region(omega_gi, mesh, localize=True)
domain_i = FEDomain('domain_i', mesh_i)
omega_i = domain_i.create_region('Omega', 'all')
gamma1_i = domain_i.create_region('Gamma1',
'vertices in (x < %.10f)' %
(min_x + eps_x),
'facet',
allow_empty=True)
gamma2_i = domain_i.create_region('Gamma2',
'vertices in (x > %.10f)' %
(max_x - eps_x),
'facet',
allow_empty=True)
field_i = Field.from_args('fu', nm.float64, 1, omega_i, approx_order=order)
output('number of local field DOFs:', field_i.n_nod)
u_i = FieldVariable('u_i', 'unknown', field_i)
v_i = FieldVariable('v_i', 'test', field_i, primary_var_name='u_i')
integral = Integral('i', order=2 * order)
mat = Material('m', lam=10, mu=5)
t1 = Term.new('dw_laplace(m.lam, v_i, u_i)',
integral,
omega_i,
m=mat,
v_i=v_i,
u_i=u_i)
def _get_load(coors):
val = nm.ones_like(coors[:, 0])
for coor in coors.T:
val *= nm.sin(4 * nm.pi * coor)
return val
def get_load(ts, coors, mode=None, **kwargs):
if mode == 'qp':
return {'val': _get_load(coors).reshape(coors.shape[0], 1, 1)}
load = Material('load', function=Function('get_load', get_load))
t2 = Term.new('dw_volume_lvf(load.val, v_i)',
integral,
omega_i,
load=load,
v_i=v_i)
eq = Equation('balance', t1 - 100 * t2)
eqs = Equations([eq])
ebc1 = EssentialBC('ebc1', gamma1_i, {'u_i.all': 0.0})
ebc2 = EssentialBC('ebc2', gamma2_i, {'u_i.all': 0.1})
pb = Problem('problem_i', equations=eqs, active_only=False)
pb.time_update(ebcs=Conditions([ebc1, ebc2]))
pb.update_materials()
return pb
def main():
parser = ArgumentParser(description=__doc__.rstrip(),
formatter_class=RawDescriptionHelpFormatter)
parser.add_argument('-o',
'--output-dir',
default='.',
help=helps['output_dir'])
parser.add_argument('--R1',
metavar='R1',
action='store',
dest='R1',
default='0.5',
help=helps['R1'])
parser.add_argument('--R2',
metavar='R2',
action='store',
dest='R2',
default='1.0',
help=helps['R2'])
parser.add_argument('--C1',
metavar='C1',
action='store',
dest='C1',
default='0.0,0.0',
help=helps['C1'])
parser.add_argument('--C2',
metavar='C2',
action='store',
dest='C2',
default='0.0,0.0',
help=helps['C2'])
parser.add_argument('--order',
metavar='int',
type=int,
action='store',
dest='order',
default=2,
help=helps['order'])
parser.add_argument('-v',
'--viewpatch',
action='store_true',
dest='viewpatch',
default=False,
help=helps['viewpatch'])
options = parser.parse_args()
# Creation of the NURBS-patch with igakit
R1 = eval(options.R1)
R2 = eval(options.R2)
C1 = list(eval(options.C1))
C2 = list(eval(options.C2))
order = options.order
viewpatch = options.viewpatch
create_patch(R1, R2, C1, C2, order=order, viewpatch=viewpatch)
# Setting a Domain instance
filename_domain = data_dir + '/meshes/iga/concentric_circles.iga'
domain = IGDomain.from_file(filename_domain)
# Sub-domains
omega = domain.create_region('Omega', 'all')
Gamma_out = domain.create_region('Gamma_out',
'vertices of set xi01',
kind='facet')
Gamma_in = domain.create_region('Gamma_in',
'vertices of set xi00',
kind='facet')
# Field (featuring order elevation)
order_increase = order - domain.nurbs.degrees[0]
order_increase *= int(order_increase > 0)
field = Field.from_args('fu',
nm.float64,
'scalar',
omega,
approx_order='iga',
space='H1',
poly_space_base='iga')
# Variables
u = FieldVariable('u', 'unknown', field) # unknown function
v = FieldVariable('v', 'test', field,
primary_var_name='u') # test function
# Integral
integral = Integral('i', order=2 * field.approx_order)
# Term
t = Term.new('dw_laplace( v, u )', integral, omega, v=v, u=u)
# Equation
eq = Equation('laplace', t)
eqs = Equations([eq])
# Boundary Conditions
u_in = EssentialBC('u_in', Gamma_in, {'u.all': 7.0})
u_out = EssentialBC('u_out', Gamma_out, {'u.all': 3.0})
# solvers
ls = ScipyDirect({})
nls_status = IndexedStruct()
nls = Newton({}, lin_solver=ls, status=nls_status)
# problem instance
pb = Problem('potential', equations=eqs, active_only=True)
# Set boundary conditions
pb.set_bcs(ebcs=Conditions([u_in, u_out]))
# solving
pb.set_solver(nls)
status = IndexedStruct()
state = pb.solve(status=status, save_results=True, verbose=True)
# Saving the results to a classic VTK file
filename = os.path.join(options.output_dir, 'concentric_circles.vtk')
ensure_path(filename)
pb.save_state(filename, state)
def main():
from sfepy import data_dir
parser = OptionParser(usage=usage, version='%prog')
parser.add_option('--diffusivity',
metavar='float',
type=float,
action='store',
dest='diffusivity',
default=1e-5,
help=helps['diffusivity'])
parser.add_option('--ic-max',
metavar='float',
type=float,
action='store',
dest='ic_max',
default=2.0,
help=helps['ic_max'])
parser.add_option('--order',
metavar='int',
type=int,
action='store',
dest='order',
default=2,
help=helps['order'])
parser.add_option('-r',
'--refine',
metavar='int',
type=int,
action='store',
dest='refine',
default=0,
help=helps['refine'])
parser.add_option('-p',
'--probe',
action="store_true",
dest='probe',
default=False,
help=helps['probe'])
parser.add_option('-s',
'--show',
action="store_true",
dest='show',
default=False,
help=helps['show'])
options, args = parser.parse_args()
assert_((0 < options.order),
'temperature approximation order must be at least 1!')
output('using values:')
output(' diffusivity:', options.diffusivity)
output(' max. IC value:', options.ic_max)
output('uniform mesh refinement level:', options.refine)
mesh = Mesh.from_file(data_dir + '/meshes/3d/cylinder.mesh')
domain = FEDomain('domain', mesh)
if options.refine > 0:
for ii in xrange(options.refine):
output('refine %d...' % ii)
domain = domain.refine()
output('... %d nodes %d elements' %
(domain.shape.n_nod, domain.shape.n_el))
omega = domain.create_region('Omega', 'all')
left = domain.create_region('Left', 'vertices in x < 0.00001', 'facet')
right = domain.create_region('Right', 'vertices in x > 0.099999', 'facet')
field = Field.from_args('fu',
nm.float64,
'scalar',
omega,
approx_order=options.order)
T = FieldVariable('T', 'unknown', field, history=1)
s = FieldVariable('s', 'test', field, primary_var_name='T')
m = Material('m', diffusivity=options.diffusivity * nm.eye(3))
integral = Integral('i', order=2 * options.order)
t1 = Term.new('dw_diffusion(m.diffusivity, s, T)',
integral,
omega,
m=m,
s=s,
T=T)
t2 = Term.new('dw_volume_dot(s, dT/dt)', integral, omega, s=s, T=T)
eq = Equation('balance', t1 + t2)
eqs = Equations([eq])
# Boundary conditions.
ebc1 = EssentialBC('T1', left, {'T.0': 2.0})
ebc2 = EssentialBC('T2', right, {'T.0': -2.0})
# Initial conditions.
def get_ic(coors, ic):
x, y, z = coors.T
return 2 - 40.0 * x + options.ic_max * nm.sin(4 * nm.pi * x / 0.1)
ic_fun = Function('ic_fun', get_ic)
ic = InitialCondition('ic', omega, {'T.0': ic_fun})
ls = ScipyDirect({})
nls_status = IndexedStruct()
nls = Newton({'is_linear': True}, lin_solver=ls, status=nls_status)
pb = Problem('heat', equations=eqs, nls=nls, ls=ls)
pb.set_bcs(ebcs=Conditions([ebc1, ebc2]))
pb.set_ics(Conditions([ic]))
tss = SimpleTimeSteppingSolver({
't0': 0.0,
't1': 100.0,
'n_step': 11
},
problem=pb)
tss.init_time()
if options.probe:
# Prepare probe data.
probes, labels = gen_lines(pb)
ev = pb.evaluate
order = 2 * (options.order - 1)
gfield = Field.from_args('gu',
nm.float64,
'vector',
omega,
approx_order=options.order - 1)
dvel = FieldVariable('dvel',
'parameter',
gfield,
primary_var_name='(set-to-None)')
cfield = Field.from_args('gu',
nm.float64,
'scalar',
omega,
approx_order=options.order - 1)
component = FieldVariable('component',
'parameter',
cfield,
primary_var_name='(set-to-None)')
nls_options = {'eps_a': 1e-16, 'i_max': 1}
if options.show:
plt.ion()
# Solve the problem using the time stepping solver.
suffix = tss.ts.suffix
for step, time, state in tss():
if options.probe:
# Probe the solution.
dvel_qp = ev('ev_diffusion_velocity.%d.Omega(m.diffusivity, T)' %
order,
copy_materials=False,
mode='qp')
project_by_component(dvel,
dvel_qp,
component,
order,
nls_options=nls_options)
all_results = []
for ii, probe in enumerate(probes):
fig, results = probe_results(ii, T, dvel, probe, labels[ii])
all_results.append(results)
plt.tight_layout()
fig.savefig('time_poisson_interactive_probe_%s.png' %
(suffix % step),
bbox_inches='tight')
if options.show:
plt.draw()
for ii, results in enumerate(all_results):
output('probe %d (%s):' % (ii, probes[ii].name))
output.level += 2
for key, res in ordered_iteritems(results):
output(key + ':')
val = res[1]
output(' min: %+.2e, mean: %+.2e, max: %+.2e' %
(val.min(), val.mean(), val.max()))
output.level -= 2
def create_local_problem(omega_gi, order):
"""
Local problem definition using a domain corresponding to the global region
`omega_gi`.
"""
mesh = omega_gi.domain.mesh
# All tasks have the whole mesh.
bbox = mesh.get_bounding_box()
min_x, max_x = bbox[:, 0]
eps_x = 1e-8 * (max_x - min_x)
mesh_i = Mesh.from_region(omega_gi, mesh, localize=True)
domain_i = FEDomain('domain_i', mesh_i)
omega_i = domain_i.create_region('Omega', 'all')
gamma1_i = domain_i.create_region('Gamma1',
'vertices in (x < %.10f)'
% (min_x + eps_x),
'facet', allow_empty=True)
gamma2_i = domain_i.create_region('Gamma2',
'vertices in (x > %.10f)'
% (max_x - eps_x),
'facet', allow_empty=True)
field_i = Field.from_args('fu', nm.float64, 1, omega_i,
approx_order=order)
output('number of local field DOFs:', field_i.n_nod)
u_i = FieldVariable('u_i', 'unknown', field_i)
v_i = FieldVariable('v_i', 'test', field_i, primary_var_name='u_i')
integral = Integral('i', order=2*order)
mat = Material('m', lam=10, mu=5)
t1 = Term.new('dw_laplace(m.lam, v_i, u_i)',
integral, omega_i, m=mat, v_i=v_i, u_i=u_i)
def _get_load(coors):
val = nm.ones_like(coors[:, 0])
for coor in coors.T:
val *= nm.sin(4 * nm.pi * coor)
return val
def get_load(ts, coors, mode=None, **kwargs):
if mode == 'qp':
return {'val' : _get_load(coors).reshape(coors.shape[0], 1, 1)}
load = Material('load', function=Function('get_load', get_load))
t2 = Term.new('dw_volume_lvf(load.val, v_i)',
integral, omega_i, load=load, v_i=v_i)
eq = Equation('balance', t1 - 100 * t2)
eqs = Equations([eq])
ebc1 = EssentialBC('ebc1', gamma1_i, {'u_i.all' : 0.0})
ebc2 = EssentialBC('ebc2', gamma2_i, {'u_i.all' : 0.1})
pb = Problem('problem_i', equations=eqs, active_only=False)
pb.time_update(ebcs=Conditions([ebc1, ebc2]))
pb.update_materials()
return pb
def main():
from sfepy import data_dir
parser = ArgumentParser()
parser.add_argument('--version', action='version', version='%(prog)s')
parser.add_argument('-s', '--show',
action="store_true", dest='show',
default=False, help=helps['show'])
options = parser.parse_args()
mesh = Mesh.from_file(data_dir + '/meshes/2d/rectangle_tri.mesh')
domain = FEDomain('domain', mesh)
min_x, max_x = domain.get_mesh_bounding_box()[:,0]
eps = 1e-8 * (max_x - min_x)
omega = domain.create_region('Omega', 'all')
gamma1 = domain.create_region('Gamma1',
'vertices in x < %.10f' % (min_x + eps),
'facet')
gamma2 = domain.create_region('Gamma2',
'vertices in x > %.10f' % (max_x - eps),
'facet')
field = Field.from_args('fu', nm.float64, 'vector', omega,
approx_order=2)
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
m = Material('m', D=stiffness_from_lame(dim=2, lam=1.0, mu=1.0))
f = Material('f', val=[[0.02], [0.01]])
integral = Integral('i', order=3)
t1 = Term.new('dw_lin_elastic(m.D, v, u)',
integral, omega, m=m, v=v, u=u)
t2 = Term.new('dw_volume_lvf(f.val, v)', integral, omega, f=f, v=v)
eq = Equation('balance', t1 + t2)
eqs = Equations([eq])
fix_u = EssentialBC('fix_u', gamma1, {'u.all' : 0.0})
bc_fun = Function('shift_u_fun', shift_u_fun,
extra_args={'shift' : 0.01})
shift_u = EssentialBC('shift_u', gamma2, {'u.0' : bc_fun})
ls = ScipyDirect({})
nls_status = IndexedStruct()
nls = Newton({}, lin_solver=ls, status=nls_status)
pb = Problem('elasticity', equations=eqs)
pb.save_regions_as_groups('regions')
pb.set_bcs(ebcs=Conditions([fix_u, shift_u]))
pb.set_solver(nls)
status = IndexedStruct()
state = pb.solve(status=status)
print('Nonlinear solver status:\n', nls_status)
print('Stationary solver status:\n', status)
pb.save_state('linear_elasticity.vtk', state)
if options.show:
view = Viewer('linear_elasticity.vtk')
view(vector_mode='warp_norm', rel_scaling=2,
is_scalar_bar=True, is_wireframe=True)
def main():
parser = ArgumentParser(description=__doc__,
formatter_class=RawDescriptionHelpFormatter)
parser.add_argument('--version', action='version', version='%(prog)s')
parser.add_argument('-d', '--dims', metavar='dims',
action='store', dest='dims',
default='[1.0, 1.0]', help=helps['dims'])
parser.add_argument('-c', '--centre', metavar='centre',
action='store', dest='centre',
default='[0.0, 0.0]', help=helps['centre'])
parser.add_argument('-s', '--shape', metavar='shape',
action='store', dest='shape',
default='[11, 11]', help=helps['shape'])
parser.add_argument('-b', '--bc-kind', metavar='kind',
action='store', dest='bc_kind',
choices=['free', 'cantilever', 'fixed'],
default='free', help=helps['bc_kind'])
parser.add_argument('-a', '--axis', metavar='0, ..., dim, or -1',
type=int, action='store', dest='axis',
default=-1, help=helps['axis'])
parser.add_argument('--young', metavar='float', type=float,
action='store', dest='young',
default=6.80e+10, help=helps['young'])
parser.add_argument('--poisson', metavar='float', type=float,
action='store', dest='poisson',
default=0.36, help=helps['poisson'])
parser.add_argument('--density', metavar='float', type=float,
action='store', dest='density',
default=2700.0, help=helps['density'])
parser.add_argument('--order', metavar='int', type=int,
action='store', dest='order',
default=1, help=helps['order'])
parser.add_argument('-n', '--n-eigs', metavar='int', type=int,
action='store', dest='n_eigs',
default=6, help=helps['n_eigs'])
parser.add_argument('-i', '--ignore', metavar='int', type=int,
action='store', dest='ignore',
default=None, help=helps['ignore'])
parser.add_argument('--solver', metavar='solver', action='store',
dest='solver',
default= \
"eig.scipy,method:'eigh',tol:1e-5,maxiter:1000",
help=helps['solver'])
parser.add_argument('--show',
action="store_true", dest='show',
default=False, help=helps['show'])
parser.add_argument('filename', nargs='?', default=None)
options = parser.parse_args()
aux = options.solver.split(',')
kwargs = {}
for option in aux[1:]:
key, val = option.split(':')
kwargs[key.strip()] = eval(val)
eig_conf = Struct(name='evp', kind=aux[0], **kwargs)
output('using values:')
output(" Young's modulus:", options.young)
output(" Poisson's ratio:", options.poisson)
output(' density:', options.density)
output('displacement field approximation order:', options.order)
output('requested %d eigenvalues' % options.n_eigs)
output('using eigenvalue problem solver:', eig_conf.kind)
output.level += 1
for key, val in six.iteritems(kwargs):
output('%s: %r' % (key, val))
output.level -= 1
assert_((0.0 < options.poisson < 0.5),
"Poisson's ratio must be in ]0, 0.5[!")
assert_((0 < options.order),
'displacement approximation order must be at least 1!')
filename = options.filename
if filename is not None:
mesh = Mesh.from_file(filename)
dim = mesh.dim
dims = nm.diff(mesh.get_bounding_box(), axis=0)
else:
dims = nm.array(eval(options.dims), dtype=nm.float64)
dim = len(dims)
centre = nm.array(eval(options.centre), dtype=nm.float64)[:dim]
shape = nm.array(eval(options.shape), dtype=nm.int32)[:dim]
output('dimensions:', dims)
output('centre: ', centre)
output('shape: ', shape)
mesh = gen_block_mesh(dims, shape, centre, name='mesh')
output('axis: ', options.axis)
assert_((-dim <= options.axis < dim), 'invalid axis value!')
eig_solver = Solver.any_from_conf(eig_conf)
# Build the problem definition.
domain = FEDomain('domain', mesh)
bbox = domain.get_mesh_bounding_box()
min_coor, max_coor = bbox[:, options.axis]
eps = 1e-8 * (max_coor - min_coor)
ax = 'xyz'[:dim][options.axis]
omega = domain.create_region('Omega', 'all')
bottom = domain.create_region('Bottom',
'vertices in (%s < %.10f)'
% (ax, min_coor + eps),
'facet')
bottom_top = domain.create_region('BottomTop',
'r.Bottom +v vertices in (%s > %.10f)'
% (ax, max_coor - eps),
'facet')
field = Field.from_args('fu', nm.float64, 'vector', omega,
approx_order=options.order)
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
mtx_d = stiffness_from_youngpoisson(dim, options.young, options.poisson)
m = Material('m', D=mtx_d, rho=options.density)
integral = Integral('i', order=2*options.order)
t1 = Term.new('dw_lin_elastic(m.D, v, u)', integral, omega, m=m, v=v, u=u)
t2 = Term.new('dw_volume_dot(m.rho, v, u)', integral, omega, m=m, v=v, u=u)
eq1 = Equation('stiffness', t1)
eq2 = Equation('mass', t2)
lhs_eqs = Equations([eq1, eq2])
pb = Problem('modal', equations=lhs_eqs)
if options.bc_kind == 'free':
pb.time_update()
n_rbm = dim * (dim + 1) / 2
elif options.bc_kind == 'cantilever':
fixed = EssentialBC('Fixed', bottom, {'u.all' : 0.0})
pb.time_update(ebcs=Conditions([fixed]))
n_rbm = 0
elif options.bc_kind == 'fixed':
fixed = EssentialBC('Fixed', bottom_top, {'u.all' : 0.0})
pb.time_update(ebcs=Conditions([fixed]))
n_rbm = 0
else:
raise ValueError('unsupported BC kind! (%s)' % options.bc_kind)
if options.ignore is not None:
n_rbm = options.ignore
pb.update_materials()
# Assemble stiffness and mass matrices.
mtx_k = eq1.evaluate(mode='weak', dw_mode='matrix', asm_obj=pb.mtx_a)
mtx_m = mtx_k.copy()
mtx_m.data[:] = 0.0
mtx_m = eq2.evaluate(mode='weak', dw_mode='matrix', asm_obj=mtx_m)
try:
eigs, svecs = eig_solver(mtx_k, mtx_m, options.n_eigs + n_rbm,
eigenvectors=True)
except sla.ArpackNoConvergence as ee:
eigs = ee.eigenvalues
svecs = ee.eigenvectors
output('only %d eigenvalues converged!' % len(eigs))
output('%d eigenvalues converged (%d ignored as rigid body modes)' %
(len(eigs), n_rbm))
eigs = eigs[n_rbm:]
svecs = svecs[:, n_rbm:]
omegas = nm.sqrt(eigs)
freqs = omegas / (2 * nm.pi)
output('number | eigenvalue | angular frequency '
'| frequency')
for ii, eig in enumerate(eigs):
output('%6d | %17.12e | %17.12e | %17.12e'
% (ii + 1, eig, omegas[ii], freqs[ii]))
# Make full eigenvectors (add DOFs fixed by boundary conditions).
variables = pb.get_variables()
vecs = nm.empty((variables.di.ptr[-1], svecs.shape[1]),
dtype=nm.float64)
for ii in range(svecs.shape[1]):
vecs[:, ii] = variables.make_full_vec(svecs[:, ii])
# Save the eigenvectors.
out = {}
state = pb.create_state()
for ii in range(eigs.shape[0]):
state.set_full(vecs[:, ii])
aux = state.create_output_dict()
strain = pb.evaluate('ev_cauchy_strain.i.Omega(u)',
integrals=Integrals([integral]),
mode='el_avg', verbose=False)
out['u%03d' % ii] = aux.popitem()[1]
out['strain%03d' % ii] = Struct(mode='cell', data=strain)
pb.save_state('eigenshapes.vtk', out=out)
pb.save_regions_as_groups('regions')
if len(eigs) and options.show:
# Show the solution. If the approximation order is greater than 1, the
# extra DOFs are simply thrown away.
from sfepy.postprocess.viewer import Viewer
from sfepy.postprocess.domain_specific import DomainSpecificPlot
scaling = 0.05 * dims.max() / nm.abs(vecs).max()
ds = {}
for ii in range(eigs.shape[0]):
pd = DomainSpecificPlot('plot_displacements',
['rel_scaling=%s' % scaling,
'color_kind="tensors"',
'color_name="strain%03d"' % ii])
ds['u%03d' % ii] = pd
view = Viewer('eigenshapes.vtk')
view(domain_specific=ds, only_names=sorted(ds.keys()),
is_scalar_bar=False, is_wireframe=True)
def main():
from sfepy import data_dir
parser = OptionParser(usage=usage, version='%prog')
parser.add_option('-s',
'--show',
action="store_true",
dest='show',
default=False,
help=help['show'])
options, args = parser.parse_args()
mesh = Mesh.from_file(data_dir + '/meshes/2d/rectangle_tri.mesh')
domain = Domain('domain', mesh)
min_x, max_x = domain.get_mesh_bounding_box()[:, 0]
eps = 1e-8 * (max_x - min_x)
omega = domain.create_region('Omega', 'all')
gamma1 = domain.create_region('Gamma1',
'nodes in x < %.10f' % (min_x + eps))
gamma2 = domain.create_region('Gamma2',
'nodes in x > %.10f' % (max_x - eps))
field = H1NodalVolumeField('fu',
nm.float64,
'vector',
omega,
approx_order=2)
u = FieldVariable('u', 'unknown', field, mesh.dim)
v = FieldVariable('v', 'test', field, mesh.dim, primary_var_name='u')
m = Material('m', lam=1.0, mu=1.0)
f = Material('f', val=[[0.02], [0.01]])
integral = Integral('i', order=3)
t1 = Term.new('dw_lin_elastic_iso(m.lam, m.mu, v, u)',
integral,
omega,
m=m,
v=v,
u=u)
t2 = Term.new('dw_volume_lvf(f.val, v)', integral, omega, f=f, v=v)
eq = Equation('balance', t1 + t2)
eqs = Equations([eq])
fix_u = EssentialBC('fix_u', gamma1, {'u.all': 0.0})
bc_fun = Function('shift_u_fun', shift_u_fun, extra_args={'shift': 0.01})
shift_u = EssentialBC('shift_u', gamma2, {'u.0': bc_fun})
ls = ScipyDirect({})
nls_status = IndexedStruct()
nls = Newton({}, lin_solver=ls, status=nls_status)
pb = ProblemDefinition('elasticity', equations=eqs, nls=nls, ls=ls)
pb.save_regions_as_groups('regions')
pb.time_update(ebcs=Conditions([fix_u, shift_u]))
vec = pb.solve()
print nls_status
pb.save_state('linear_elasticity.vtk', vec)
if options.show:
view = Viewer('linear_elasticity.vtk')
view(vector_mode='warp_norm',
rel_scaling=2,
is_scalar_bar=True,
is_wireframe=True)
def main():
parser = ArgumentParser(description=__doc__.rstrip(),
formatter_class=RawDescriptionHelpFormatter)
parser.add_argument('output_dir', help=helps['output_dir'])
parser.add_argument('--dims', metavar='dims',
action='store', dest='dims',
default='1.0,1.0,1.0', help=helps['dims'])
parser.add_argument('--shape', metavar='shape',
action='store', dest='shape',
default='7,7,7', help=helps['shape'])
parser.add_argument('--centre', metavar='centre',
action='store', dest='centre',
default='0.0,0.0,0.0', help=helps['centre'])
parser.add_argument('-3', '--3d',
action='store_true', dest='is_3d',
default=False, help=helps['3d'])
parser.add_argument('--order', metavar='int', type=int,
action='store', dest='order',
default=1, help=helps['order'])
options = parser.parse_args()
dim = 3 if options.is_3d else 2
dims = nm.array(eval(options.dims), dtype=nm.float64)[:dim]
shape = nm.array(eval(options.shape), dtype=nm.int32)[:dim]
centre = nm.array(eval(options.centre), dtype=nm.float64)[:dim]
output('dimensions:', dims)
output('shape: ', shape)
output('centre: ', centre)
mesh0 = gen_block_mesh(dims, shape, centre, name='block-fem',
verbose=True)
domain0 = FEDomain('d', mesh0)
bbox = domain0.get_mesh_bounding_box()
min_x, max_x = bbox[:, 0]
eps = 1e-8 * (max_x - min_x)
cnt = (shape[0] - 1) // 2
g0 = 0.5 * dims[0]
grading = nm.array([g0 / 2**ii for ii in range(cnt)]) + eps + centre[0] - g0
domain, subs = refine_towards_facet(domain0, grading, 'x <')
omega = domain.create_region('Omega', 'all')
gamma1 = domain.create_region('Gamma1',
'vertices in (x < %.10f)' % (min_x + eps),
'facet')
gamma2 = domain.create_region('Gamma2',
'vertices in (x > %.10f)' % (max_x - eps),
'facet')
field = Field.from_args('fu', nm.float64, 1, omega,
approx_order=options.order)
if subs is not None:
field.substitute_dofs(subs)
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
integral = Integral('i', order=2*options.order)
t1 = Term.new('dw_laplace(v, u)',
integral, omega, v=v, u=u)
eq = Equation('eq', t1)
eqs = Equations([eq])
def u_fun(ts, coors, bc=None, problem=None):
"""
Define a displacement depending on the y coordinate.
"""
if coors.shape[1] == 2:
min_y, max_y = bbox[:, 1]
y = (coors[:, 1] - min_y) / (max_y - min_y)
val = (max_y - min_y) * nm.cos(3 * nm.pi * y)
else:
min_y, max_y = bbox[:, 1]
min_z, max_z = bbox[:, 2]
y = (coors[:, 1] - min_y) / (max_y - min_y)
z = (coors[:, 2] - min_z) / (max_z - min_z)
val = ((max_y - min_y) * (max_z - min_z)
* nm.cos(3 * nm.pi * y) * (1.0 + 3.0 * (z - 0.5)**2))
return val
bc_fun = Function('u_fun', u_fun)
fix1 = EssentialBC('shift_u', gamma1, {'u.0' : bc_fun})
fix2 = EssentialBC('fix2', gamma2, {'u.all' : 0.0})
ls = ScipyDirect({})
nls = Newton({}, lin_solver=ls)
pb = Problem('heat', equations=eqs, nls=nls, ls=ls)
pb.time_update(ebcs=Conditions([fix1, fix2]))
state = pb.solve()
if subs is not None:
field.restore_dofs()
filename = os.path.join(options.output_dir, 'hanging.vtk')
ensure_path(filename)
pb.save_state(filename, state)
if options.order > 1:
pb.save_state(filename, state, linearization=Struct(kind='adaptive',
min_level=0,
max_level=8,
eps=1e-3))
'facet')
top = domain.create_region('Top',
'vertices in y > 0.999',
'facet')
domain.save_regions_as_groups('regions.vtk')
field_t = Field.from_args('temperature', np.float64,
'scalar', omega, 2)
t = FieldVariable('t', 'unknown', field_t, 1)
s = FieldVariable('s', 'test', field_t, 1,
primary_var_name='t')
integral = Integral('i', order=2)
term = Term.new('dw_laplace(s, t)', integral, omega,
s=s, t=t)
eq = Equation('temperature', term)
eqs = Equations([eq])
t_left = EssentialBC('t_left',
left, {'t.0' : 10.0})
t_right = EssentialBC('t_right',
right, {'t.0' : 30.0})
ls = ScipyDirect({})
nls = Newton({}, lin_solver=ls)
pb = ProblemDefinition('temperature', equations=eqs,
nls=nls, ls=ls)
pb.time_update(ebcs=Conditions([t_left, t_right]))
def create_local_problem(omega_gi, orders):
"""
Local problem definition using a domain corresponding to the global region
`omega_gi`.
"""
order_u, order_p = orders
mesh = omega_gi.domain.mesh
# All tasks have the whole mesh.
bbox = mesh.get_bounding_box()
min_x, max_x = bbox[:, 0]
eps_x = 1e-8 * (max_x - min_x)
min_y, max_y = bbox[:, 1]
eps_y = 1e-8 * (max_y - min_y)
mesh_i = Mesh.from_region(omega_gi, mesh, localize=True)
domain_i = FEDomain('domain_i', mesh_i)
omega_i = domain_i.create_region('Omega', 'all')
gamma1_i = domain_i.create_region('Gamma1',
'vertices in (x < %.10f)'
% (min_x + eps_x),
'facet', allow_empty=True)
gamma2_i = domain_i.create_region('Gamma2',
'vertices in (x > %.10f)'
% (max_x - eps_x),
'facet', allow_empty=True)
gamma3_i = domain_i.create_region('Gamma3',
'vertices in (y < %.10f)'
% (min_y + eps_y),
'facet', allow_empty=True)
field1_i = Field.from_args('fu', nm.float64, mesh.dim, omega_i,
approx_order=order_u)
field2_i = Field.from_args('fp', nm.float64, 1, omega_i,
approx_order=order_p)
output('field 1: number of local DOFs:', field1_i.n_nod)
output('field 2: number of local DOFs:', field2_i.n_nod)
u_i = FieldVariable('u_i', 'unknown', field1_i, order=0)
v_i = FieldVariable('v_i', 'test', field1_i, primary_var_name='u_i')
p_i = FieldVariable('p_i', 'unknown', field2_i, order=1)
q_i = FieldVariable('q_i', 'test', field2_i, primary_var_name='p_i')
if mesh.dim == 2:
alpha = 1e2 * nm.array([[0.132], [0.132], [0.092]])
else:
alpha = 1e2 * nm.array([[0.132], [0.132], [0.132],
[0.092], [0.092], [0.092]])
mat = Material('m', D=stiffness_from_lame(mesh.dim, lam=10, mu=5),
k=1, alpha=alpha)
integral = Integral('i', order=2*(max(order_u, order_p)))
t11 = Term.new('dw_lin_elastic(m.D, v_i, u_i)',
integral, omega_i, m=mat, v_i=v_i, u_i=u_i)
t12 = Term.new('dw_biot(m.alpha, v_i, p_i)',
integral, omega_i, m=mat, v_i=v_i, p_i=p_i)
t21 = Term.new('dw_biot(m.alpha, u_i, q_i)',
integral, omega_i, m=mat, u_i=u_i, q_i=q_i)
t22 = Term.new('dw_laplace(m.k, q_i, p_i)',
integral, omega_i, m=mat, q_i=q_i, p_i=p_i)
eq1 = Equation('eq1', t11 - t12)
eq2 = Equation('eq1', t21 + t22)
eqs = Equations([eq1, eq2])
ebc1 = EssentialBC('ebc1', gamma1_i, {'u_i.all' : 0.0})
ebc2 = EssentialBC('ebc2', gamma2_i, {'u_i.0' : 0.05})
def bc_fun(ts, coors, **kwargs):
val = 0.3 * nm.sin(4 * nm.pi * (coors[:, 0] - min_x) / (max_x - min_x))
return val
fun = Function('bc_fun', bc_fun)
ebc3 = EssentialBC('ebc3', gamma3_i, {'p_i.all' : fun})
pb = Problem('problem_i', equations=eqs, active_only=False)
pb.time_update(ebcs=Conditions([ebc1, ebc2, ebc3]))
pb.update_materials()
return pb
Ddmu = numpy.array([[2.0, 0.0, 0.0],
[0.0, 2.0, 0.0],
[0.0, 0.0, 1.0]])
Ddlambda = numpy.array([[1.0, 1.0, 0.0],
[1.0, 1.0, 0.0],
[0.0, 0.0, 0.0]])
Ks = []
Ms = []
for D in [Ddmu, Ddlambda]:#, D2, D3]
m = Material('m', D = D, rho = 2700.0)
integral = Integral('i', order=2)
t1 = Term.new('dw_lin_elastic(m.D, v, u)', integral, omega, m=m, v=v, u=u)
t2 = Term.new('dw_volume_dot(m.rho, v, u)', integral, omega, m=m, v=v, u=u)
eq1 = Equation('stiffness', t1)
eq2 = Equation('mass', t2)
lhs_eqs = Equations([eq1, eq2])
pb = Problem('modal', equations = lhs_eqs)
pb.time_update()
n_rbm = dim * (dim + 1) / 2
pb.update_materials()
# Assemble stiffness and mass matrices.
mtx_k = eq1.evaluate(mode='weak', dw_mode='matrix', asm_obj=pb.mtx_a)
mtx_m = mtx_k.copy()
def FarField(eltype,
points,
boundary,
lcar,
epsilon,
meshfile,
thickness=None,
verbose=False):
"""
This function determines a geometric factor F within a single element.
The element type can be triangular, quadrilateral, tetrahedral or
hexahedral. For these types eltype is set to "CTRIA3", "CQUAD4"
"CTETRA" and "CHEXA8" respectively. The vertices of the element are
provided in the input parameter points. The input parameter boundary is of
boolean type and has the same size as points. Those points which are
part of the conductive interface CI are flagged True. Epsilon sets
a tolerance to determine which mesh vertices are considered part of
the FF boundary. The meshing of the element is stored in a location
provided by meshfile.
Parameters
----------
eltype: string
'CTRIA3' for triangular surface elements,
'CQUAD4' for quadrilateral surface elements,
'CTETRA' for tetrahedral volume elements.
'CHEXA8' for hexahedral volume elements.
points: array like
Array containing the coordinates of the element
boundary: array like
Array containing the entries of the boundary points
lcar: float
Characteristic length value provided to gmsh for mesh sizing.
epsilon: float
Numerical tolerance on criterion for far field
boundary
meshfile: string
Filename and location for storing temporary mesh file
verbose: boolean
Indicate whether intermediate results should be displayed
or not
Returns
-------
: array like
Array with boolean entries stating True for those items
on the boundary and False otherwise
"""
if verbose is True:
output.set_output(quiet=False)
else:
output.set_output(quiet=True)
if (eltype == "CTRIA3") or (eltype == "CQUAD4"):
sdim = 2
else:
sdim = 3
boundpnts = []
for i in range(len(points)):
if boundary[i]:
boundpnts.append(points[i])
mesh = sfedis.fem.Mesh.from_file(meshfile)
domain = sfedis.fem.FEDomain('domain', mesh)
c = sfedis.Material('c', val=1.0)
omega = domain.create_region('Omega', 'all')
if verbose is True:
coors = mesh.coors
fixed_vert = _is_on_bound(coors,
bound=boundpnts,
sdim=sdim,
epsilon=epsilon)
print "fixed vertices:"
print fixed_vert
is_on_bound = sfedis.Functions([
sfedis.Function('_is_on_bound',
_is_on_bound,
extra_args={
'bound': boundpnts,
'sdim': sdim,
'epsilon': lcar / 100.
}),
])
fixed = domain.create_region('fixed',
'vertices by _is_on_bound',
'facet',
functions=is_on_bound,
add_to_regions=True)
field_t = sfedis.fem.Field.from_args('temperature',
np.float64,
'scalar',
omega,
approx_order=2)
t = sfedis.FieldVariable('t', 'unknown', field_t, 1)
s = sfedis.FieldVariable('s', 'test', field_t, 1, primary_var_name='t')
integral = sfedis.Integral('i', order=4)
term1 = Term.new('dw_laplace(s, t)', integral, omega, s=s, t=t)
term2 = Term.new('dw_volume_integrate(c.val, s)',
integral,
omega,
c=c,
s=s) # heat source term for 1st step of far field
eq = sfedis.Equation('temperature', term1 - term2)
eqs = sfedis.Equations([eq])
t_fixed = EssentialBC('t_fixed', fixed, {'t.0': 0.0})
ls = ScipyDirect({})
nls = Newton({'i_max': 1, 'eps_a': 1e-10}, lin_solver=ls)
pb = sfedis.Problem('temperature', equations=eqs, nls=nls, ls=ls)
pb.time_update(ebcs=Conditions([
t_fixed,
]))
temperature = pb.solve()
out = temperature.create_output_dict()
if verbose is True:
pb.save_state('result.vtk', out=out)
view = Viewer('result.vtk')
view(is_wireframe=True, rel_scaling=1, is_scalar_bar=True)
print "Maximum temperature: %f" % np.max(out['t'].data)
data = [i[0] for i in out['t'].data]
FF = _get_far(eltype, points, data, mesh, sdim, epsilon)
str1 = ''.join(str(v) + ', ' for v in FF)[:-2]
try:
far = domain.create_region('far',
'vertex %s' % str1,
'facet',
add_to_regions=True)
except Exception as e:
print "Far field region creation failed!"
print(e)
t.reset()
s.reset()
return
area_source = pb.evaluate('d_surface.3.far(t)')
fluxval = 1.0 / (area_source)
c2 = sfedis.Material(
'c2', val=fluxval
) # So that total heat at the far field is 1W equally distributed over all elements
term1A = Term.new('dw_laplace(c.val, s, t)',
integral,
omega,
c=c,
s=s,
t=t)
term2A = Term.new('dw_surface_integrate(c2.val, s)',
integral,
far,
c2=c2,
s=s)
eq2 = sfedis.Equation('temperature2', term1A - term2A)
eqs2 = sfedis.Equations([eq2])
pb2 = sfedis.Problem('temperature2', equations=eqs2, nls=nls, ls=ls)
pb2.time_update(ebcs=Conditions([
t_fixed,
]))
temperature2 = pb2.solve()
out2 = temperature2.create_output_dict()
volume = pb2.evaluate('d_volume.3.Omega(t)')
t_int = pb2.evaluate('ev_volume_integrate.3.Omega(t)')
avg_t = t_int / volume
F = 1.0 / avg_t
if verbose is True:
print "Average temperature: %f" % avg_t
if thickness:
'Correction factor 1e-3 is due to geometry in mm instead of m'
F = F * thickness * 1e-3
if verbose is True:
pb.save_state('result.vtk', out=out2)
view = Viewer('result.vtk')
view(is_wireframe=True, rel_scaling=1, is_scalar_bar=True)
t.reset()
s.reset()
return F
def get_hyperelastic_Y(pb, term, micro_state, im, region_name='Y'):
from sfepy.terms import Term
region = pb.domain.regions[region_name]
el = region.get_cells().shape[0]
nqp = tuple(term.integral.qps.values())[0].n_point
npts = el * nqp
mvars = pb.create_variables(['U', 'P'] +
['P%d' % ch for ch in pb.conf.chs])
state_u, state_p = mvars['U'], mvars['P']
termY = Term.new('ev_grad(U)', term.integral, region, U=mvars['U'])
if state_u.data[0] is None:
state_u.init_data()
u_mic = micro_state['coors'][im] - pb.domain.get_mesh_coors(actual=False)
state_u.set_data(u_mic)
state_u.field.clear_mappings()
family_data = pb.family_data(state_u, region, term.integral,
term.integration)
if len(state_u.field.mappings0) == 0:
state_u.field.save_mappings()
n_el, n_qp, dim, _, _ = state_u.get_data_shape(term.integral,
term.integration,
region_name)
# relative displacement
state_u.set_data(micro_state['coors'][im] -
micro_state['coors_prev'][im]) # \bar u (du_prev)
grad_du_qp = state_u.evaluate(mode='grad', integral=term.integral).reshape(
(npts, dim, dim))
div_du_qp = nm.trace(grad_du_qp, axis1=1, axis2=2).reshape((npts, 1, 1))
press_qp = nm.zeros((n_el, n_qp, 1, 1), dtype=nm.float64)
grad_press_qp = nm.zeros((n_el, n_qp, dim, 1), dtype=nm.float64)
if micro_state['p'] is not None:
p_mic = micro_state['p'][im]
state_p.set_data(p_mic)
cells = state_p.field.region.get_cells()
press_qp[cells, ...] = state_p.evaluate(integral=term.integral)
grad_press_qp[cells, ...] = state_p.evaluate(mode='grad',
integral=term.integral)
pch_mic = {}
for ch in pb.conf.chs:
state_pi = mvars['P%d' % ch]
pch_mic[ch] = micro_state['p%d' % ch][im]
state_pi.set_data(micro_state['p%d' % ch][im])
cells = mvars['P%d' % ch].field.region.get_cells()
press_qp[cells, ...] = state_pi.evaluate(integral=term.integral)
grad_press_qp[cells,
...] = state_pi.evaluate(mode='grad',
integral=term.integral)
press_qp = press_qp.reshape((npts, 1, 1))
grad_press_qp = grad_press_qp.reshape((npts, dim, 1))
else:
p_mic = nm.zeros((state_p.n_dof, ), dtype=nm.float64)
pch_mic = {
ch: nm.zeros((mvars['P%d' % ch].n_dof, ), dtype=nm.float64)
for ch in pb.conf.chs
}
press_qp = nm.zeros((npts, 1, 1), dtype=nm.float64)
grad_press_qp = nm.zeros((npts, dim, 1), dtype=nm.float64)
conf_mat = pb.conf.materials
solid_key = [key for key in conf_mat.keys() if 'solid' in key][0]
solid_mat = conf_mat[solid_key].values
mat = {}
for mat_key in ['mu', 'K']:
if isinstance(solid_mat[mat_key], dict):
mat_fun = ConstantFunctionByRegion({mat_key: solid_mat[mat_key]})
mat0 = mat_fun.function(ts=None,
coors=nm.empty(npts),
mode='qp',
term=termY,
problem=pb)[mat_key]
mat[mat_key] = mat0.reshape((n_el, n_qp) + mat0.shape[-2:])
else:
mat[mat_key] = nm.ones((n_el, n_qp, 1, 1)) * solid_mat[mat_key]
shape = family_data.green_strain.shape[:2]
assert (npts == nm.prod(shape))
sym = family_data.green_strain.shape[-2]
dim2 = dim**2
fargs = [
family_data.get(name) for name in NeoHookeanULTerm.family_data_names
]
stress_eff = nm.empty(shape + (sym, 1), dtype=nm.float64)
tanmod_eff = nm.empty(shape + (sym, sym), dtype=nm.float64)
NeoHookeanULTerm.stress_function(stress_eff, mat['mu'], *fargs)
NeoHookeanULTerm.tan_mod_function(tanmod_eff, mat['mu'], *fargs)
stress_eff_ns = nm.zeros(shape + (dim2, dim2), dtype=nm.float64)
tanmod_eff_ns = nm.zeros(shape + (dim2, dim2), dtype=nm.float64)
sym2nonsym(stress_eff_ns, stress_eff)
sym2nonsym(tanmod_eff_ns, tanmod_eff)
J = family_data.det_f.reshape((npts, 1, 1))
mtx_f = family_data.mtx_f.reshape((npts, dim, dim))
stress_p = -press_qp * J * sym_eye[dim]
mat_A = (tanmod_eff_ns + stress_eff_ns).reshape((npts, dim2, dim2))\
+ J * press_qp * nonsym_delta[dim]
mtxI = nm.eye(dim)
mat_BI = (mtxI * div_du_qp - grad_du_qp).transpose(0, 2, 1) + mtxI
mat['K'] = mat['K'].reshape((npts, dim, dim))
mat_H = div_du_qp * mat['K']\
- la.dot_sequences(mat['K'], grad_du_qp, 'ABT')\
- la.dot_sequences(grad_du_qp, mat['K'], 'ABT')
out = {
'E': 0.5 *
(la.dot_sequences(mtx_f, mtx_f, 'ATB') - nm.eye(dim)), # Green strain
'S': (stress_eff.reshape(
(npts, sym, 1)) + stress_p) / J, # Cauchy stress
'A': mat_A / J, # tangent elastic tensor, eq. (20)
'BI': mat_BI,
'KH': mat['K'] + mat_H,
'H': mat_H,
'dK': mat['K'] * 0, # constant permeability => dK = 0
'w': -grad_press_qp * mat['K'], # perfusion velocity
}
return out
def _test_single_term(self, term_cls, domain, rname):
from sfepy.terms import Term
from sfepy.terms.terms import get_arg_kinds
ok = True
term_call = term_cls.name + '(%s)'
arg_shapes_list = term_cls.arg_shapes
if not isinstance(arg_shapes_list, list):
arg_shapes_list = [arg_shapes_list]
prev_shapes = {}
for _arg_shapes in arg_shapes_list:
# Unset shapes are taken from the previous iteration.
arg_shapes = copy(prev_shapes)
arg_shapes.update(_arg_shapes)
prev_shapes = arg_shapes
self.report('arg_shapes:', arg_shapes)
arg_types = term_cls.arg_types
if not isinstance(arg_types[0], tuple):
arg_types = (arg_types, )
for iat, ats in enumerate(arg_types):
self.report('arg_types:', ats)
arg_kinds = get_arg_kinds(ats)
modes = getattr(term_cls, 'modes', None)
mode = modes[iat] if modes is not None else None
aux = make_term_args(arg_shapes, arg_kinds, ats, mode, domain)
args, str_args, materials, variables = aux
self.report('args:', str_args)
name = term_call % (', '.join(str_args))
term = Term.new(name, self.integral, domain.regions[rname],
**args)
term.setup()
call_mode = 'weak' if term.names.virtual else 'eval'
self.report('call mode:', call_mode)
out = term.evaluate(mode=call_mode, ret_status=True)
if call_mode == 'eval':
vals, status = out
vals = nm.array(vals)
else:
vals, iels, status = out
vals = vals[0]
_ok = nm.isfinite(vals).all()
ok = ok and _ok
self.report('values shape: %s' % (vals.shape, ))
if not _ok:
self.report('values are not finite!')
self.report(vals)
_ok = status == 0
if not _ok:
self.report('status is %d!' % status)
ok = ok and _ok
if term.names.virtual:
# Test differentiation w.r.t. state variables in the weak
# mode.
svars = term.get_state_variables(unknown_only=True)
for svar in svars:
vals, iels, status = term.evaluate(mode=call_mode,
diff_var=svar.name,
ret_status=True)
vals = vals[0]
_ok = status == 0
ok = ok and _ok
self.report('diff: %s' % svar.name)
if not _ok:
self.report('status is %d!' % status)
_ok = nm.isfinite(vals).all()
ok = ok and _ok
self.report('values shape: %s' % (vals.shape, ))
if not _ok:
self.report('values are not finite!')
self.report(vals)
return ok
def main():
parser = ArgumentParser(description=__doc__)
parser.add_argument('--version', action='version', version='%(prog)s')
parser.add_argument('-b',
'--basis',
metavar='name',
action='store',
dest='basis',
default='lagrange',
help=help['basis'])
parser.add_argument('-n',
'--max-order',
metavar='order',
type=int,
action='store',
dest='max_order',
default=10,
help=help['max_order'])
parser.add_argument('-m',
'--matrix',
metavar='type',
action='store',
dest='matrix_type',
default='laplace',
help=help['matrix_type'])
parser.add_argument('-g',
'--geometry',
metavar='name',
action='store',
dest='geometry',
default='2_4',
help=help['geometry'])
options = parser.parse_args()
dim, n_ep = int(options.geometry[0]), int(options.geometry[2])
output('reference element geometry:')
output(' dimension: %d, vertices: %d' % (dim, n_ep))
n_c = {'laplace': 1, 'elasticity': dim}[options.matrix_type]
output('matrix type:', options.matrix_type)
output('number of variable components:', n_c)
output('polynomial space:', options.basis)
output('max. order:', options.max_order)
mesh = Mesh.from_file(data_dir +
'/meshes/elements/%s_1.mesh' % options.geometry)
domain = FEDomain('domain', mesh)
omega = domain.create_region('Omega', 'all')
orders = nm.arange(1, options.max_order + 1, dtype=nm.int)
conds = []
order_fix = 0 if options.geometry in ['2_4', '3_8'] else 1
for order in orders:
output('order:', order, '...')
field = Field.from_args('fu',
nm.float64,
n_c,
omega,
approx_order=order,
space='H1',
poly_space_base=options.basis)
to = field.approx_order
quad_order = 2 * (max(to - order_fix, 0))
output('quadrature order:', quad_order)
integral = Integral('i', order=quad_order)
qp, _ = integral.get_qp(options.geometry)
output('number of quadrature points:', qp.shape[0])
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
m = Material('m', D=stiffness_from_lame(dim, 1.0, 1.0), mu=1.0)
if options.matrix_type == 'laplace':
term = Term.new('dw_laplace(m.mu, v, u)',
integral,
omega,
m=m,
v=v,
u=u)
n_zero = 1
else:
assert_(options.matrix_type == 'elasticity')
term = Term.new('dw_lin_elastic(m.D, v, u)',
integral,
omega,
m=m,
v=v,
u=u)
n_zero = (dim + 1) * dim / 2
term.setup()
output('assembling...')
tt = time.clock()
mtx, iels = term.evaluate(mode='weak', diff_var='u')
output('...done in %.2f s' % (time.clock() - tt))
mtx = mtx[0, 0]
try:
assert_(nm.max(nm.abs(mtx - mtx.T)) < 1e-10)
except:
from sfepy.base.base import debug
debug()
output('matrix shape:', mtx.shape)
eigs = eig(mtx, method='eig.sgscipy', eigenvectors=False)
eigs.sort()
# Zero 'true' zeros.
eigs[:n_zero] = 0.0
ii = nm.where(eigs < 0.0)[0]
if len(ii):
output('matrix is not positive semi-definite!')
ii = nm.where(eigs[n_zero:] < 1e-12)[0]
if len(ii):
output('matrix has more than %d zero eigenvalues!' % n_zero)
output('smallest eigs:\n', eigs[:10])
ii = nm.where(eigs > 0.0)[0]
emin, emax = eigs[ii[[0, -1]]]
output('min:', emin, 'max:', emax)
cond = emax / emin
conds.append(cond)
output('condition number:', cond)
output('...done')
plt.figure(1)
plt.semilogy(orders, conds)
plt.xticks(orders, orders)
plt.xlabel('polynomial order')
plt.ylabel('condition number')
plt.grid()
plt.figure(2)
plt.loglog(orders, conds)
plt.xticks(orders, orders)
plt.xlabel('polynomial order')
plt.ylabel('condition number')
plt.grid()
plt.show()
def main():
parser = OptionParser(usage=usage, version='%prog')
parser.add_option('-b', '--basis', metavar='name',
action='store', dest='basis',
default='lagrange', help=help['basis'])
parser.add_option('-n', '--max-order', metavar='order', type=int,
action='store', dest='max_order',
default=10, help=help['max_order'])
parser.add_option('-m', '--matrix', metavar='type',
action='store', dest='matrix_type',
default='laplace', help=help['matrix_type'])
parser.add_option('-g', '--geometry', metavar='name',
action='store', dest='geometry',
default='2_4', help=help['geometry'])
options, args = parser.parse_args()
dim, n_ep = int(options.geometry[0]), int(options.geometry[2])
output('reference element geometry:')
output(' dimension: %d, vertices: %d' % (dim, n_ep))
n_c = {'laplace' : 1, 'elasticity' : dim}[options.matrix_type]
output('matrix type:', options.matrix_type)
output('number of variable components:', n_c)
output('polynomial space:', options.basis)
output('max. order:', options.max_order)
mesh = Mesh.from_file(data_dir + '/meshes/elements/%s_1.mesh'
% options.geometry)
domain = FEDomain('domain', mesh)
omega = domain.create_region('Omega', 'all')
orders = nm.arange(1, options.max_order + 1, dtype=nm.int)
conds = []
order_fix = 0 if options.geometry in ['2_4', '3_8'] else 1
for order in orders:
output('order:', order, '...')
field = Field.from_args('fu', nm.float64, n_c, omega,
approx_order=order,
space='H1', poly_space_base=options.basis)
to = field.approx_order
quad_order = 2 * (max(to - order_fix, 0))
output('quadrature order:', quad_order)
integral = Integral('i', order=quad_order)
qp, _ = integral.get_qp(options.geometry)
output('number of quadrature points:', qp.shape[0])
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
m = Material('m', lam=1.0, mu=1.0)
if options.matrix_type == 'laplace':
term = Term.new('dw_laplace(m.mu, v, u)',
integral, omega, m=m, v=v, u=u)
n_zero = 1
else:
assert_(options.matrix_type == 'elasticity')
term = Term.new('dw_lin_elastic_iso(m.lam, m.mu, v, u)',
integral, omega, m=m, v=v, u=u)
n_zero = (dim + 1) * dim / 2
term.setup()
output('assembling...')
tt = time.clock()
mtx, iels = term.evaluate(mode='weak', diff_var='u')
output('...done in %.2f s' % (time.clock() - tt))
mtx = mtx[0][0, 0]
try:
assert_(nm.max(nm.abs(mtx - mtx.T)) < 1e-10)
except:
from sfepy.base.base import debug; debug()
output('matrix shape:', mtx.shape)
eigs = eig(mtx, method='eig.sgscipy', eigenvectors=False)
eigs.sort()
# Zero 'true' zeros.
eigs[:n_zero] = 0.0
ii = nm.where(eigs < 0.0)[0]
if len(ii):
output('matrix is not positive semi-definite!')
ii = nm.where(eigs[n_zero:] < 1e-12)[0]
if len(ii):
output('matrix has more than %d zero eigenvalues!' % n_zero)
output('smallest eigs:\n', eigs[:10])
ii = nm.where(eigs > 0.0)[0]
emin, emax = eigs[ii[[0, -1]]]
output('min:', emin, 'max:', emax)
cond = emax / emin
conds.append(cond)
output('condition number:', cond)
output('...done')
plt.figure(1)
plt.semilogy(orders, conds)
plt.xticks(orders, orders)
plt.xlabel('polynomial order')
plt.ylabel('condition number')
plt.grid()
plt.figure(2)
plt.loglog(orders, conds)
plt.xticks(orders, orders)
plt.xlabel('polynomial order')
plt.ylabel('condition number')
plt.grid()
plt.show()
'vertex')
top = domain.create_region('Top', 'vertices in z > %.10f' % (max_z - eps),
'vertex')
field = Field.from_args('fu', np.float64, 'vector', omega, approx_order=1)
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
m = Material('m',
D=stiffness_from_youngpoisson(dim=3, young=6.8e10, poisson=0.36),
rho=2700.0)
integral = Integral('i', order=1)
t1 = Term.new('dw_lin_elastic(m.D, v, u)', integral, omega, m=m, v=v, u=u)
eq1 = Equation('balance_of_forces', t1)
eqs = Equations([eq1])
z_displacements = np.linspace(0, 0.05, 6)
vm_stresses = np.zeros([len(z_displacements), 2])
for i, z_displacement in enumerate(z_displacements):
fix_bot = EssentialBC('fix_bot', bot, {'u.all': 0.0})
fix_top = EssentialBC('fix_top', top, {
'u.[0,1]': 0.0,
'u.[2]': -z_displacement
})
ls = ScipyDirect({})
def main():
from sfepy import data_dir
parser = OptionParser(usage=usage, version='%prog')
parser.add_option('--diffusivity', metavar='float', type=float,
action='store', dest='diffusivity',
default=1e-5, help=helps['diffusivity'])
parser.add_option('--ic-max', metavar='float', type=float,
action='store', dest='ic_max',
default=2.0, help=helps['ic_max'])
parser.add_option('--order', metavar='int', type=int,
action='store', dest='order',
default=2, help=helps['order'])
parser.add_option('-r', '--refine', metavar='int', type=int,
action='store', dest='refine',
default=0, help=helps['refine'])
parser.add_option('-p', '--probe',
action="store_true", dest='probe',
default=False, help=helps['probe'])
parser.add_option('-s', '--show',
action="store_true", dest='show',
default=False, help=helps['show'])
options, args = parser.parse_args()
assert_((0 < options.order),
'temperature approximation order must be at least 1!')
output('using values:')
output(' diffusivity:', options.diffusivity)
output(' max. IC value:', options.ic_max)
output('uniform mesh refinement level:', options.refine)
mesh = Mesh.from_file(data_dir + '/meshes/3d/cylinder.mesh')
domain = FEDomain('domain', mesh)
if options.refine > 0:
for ii in range(options.refine):
output('refine %d...' % ii)
domain = domain.refine()
output('... %d nodes %d elements'
% (domain.shape.n_nod, domain.shape.n_el))
omega = domain.create_region('Omega', 'all')
left = domain.create_region('Left',
'vertices in x < 0.00001', 'facet')
right = domain.create_region('Right',
'vertices in x > 0.099999', 'facet')
field = Field.from_args('fu', nm.float64, 'scalar', omega,
approx_order=options.order)
T = FieldVariable('T', 'unknown', field, history=1)
s = FieldVariable('s', 'test', field, primary_var_name='T')
m = Material('m', diffusivity=options.diffusivity * nm.eye(3))
integral = Integral('i', order=2*options.order)
t1 = Term.new('dw_diffusion(m.diffusivity, s, T)',
integral, omega, m=m, s=s, T=T)
t2 = Term.new('dw_volume_dot(s, dT/dt)',
integral, omega, s=s, T=T)
eq = Equation('balance', t1 + t2)
eqs = Equations([eq])
# Boundary conditions.
ebc1 = EssentialBC('T1', left, {'T.0' : 2.0})
ebc2 = EssentialBC('T2', right, {'T.0' : -2.0})
# Initial conditions.
def get_ic(coors, ic):
x, y, z = coors.T
return 2 - 40.0 * x + options.ic_max * nm.sin(4 * nm.pi * x / 0.1)
ic_fun = Function('ic_fun', get_ic)
ic = InitialCondition('ic', omega, {'T.0' : ic_fun})
ls = ScipyDirect({})
nls_status = IndexedStruct()
nls = Newton({'is_linear' : True}, lin_solver=ls, status=nls_status)
pb = Problem('heat', equations=eqs, nls=nls, ls=ls)
pb.set_bcs(ebcs=Conditions([ebc1, ebc2]))
pb.set_ics(Conditions([ic]))
tss = SimpleTimeSteppingSolver({'t0' : 0.0, 't1' : 100.0, 'n_step' : 11},
problem=pb)
tss.init_time()
if options.probe:
# Prepare probe data.
probes, labels = gen_lines(pb)
ev = pb.evaluate
order = 2 * (options.order - 1)
gfield = Field.from_args('gu', nm.float64, 'vector', omega,
approx_order=options.order - 1)
dvel = FieldVariable('dvel', 'parameter', gfield,
primary_var_name='(set-to-None)')
cfield = Field.from_args('gu', nm.float64, 'scalar', omega,
approx_order=options.order - 1)
component = FieldVariable('component', 'parameter', cfield,
primary_var_name='(set-to-None)')
nls_options = {'eps_a' : 1e-16, 'i_max' : 1}
if options.show:
plt.ion()
# Solve the problem using the time stepping solver.
suffix = tss.ts.suffix
for step, time, state in tss():
if options.probe:
# Probe the solution.
dvel_qp = ev('ev_diffusion_velocity.%d.Omega(m.diffusivity, T)'
% order, copy_materials=False, mode='qp')
project_by_component(dvel, dvel_qp, component, order,
nls_options=nls_options)
all_results = []
for ii, probe in enumerate(probes):
fig, results = probe_results(ii, T, dvel, probe, labels[ii])
all_results.append(results)
plt.tight_layout()
fig.savefig('time_poisson_interactive_probe_%s.png'
% (suffix % step), bbox_inches='tight')
if options.show:
plt.draw()
for ii, results in enumerate(all_results):
output('probe %d (%s):' % (ii, probes[ii].name))
output.level += 2
for key, res in ordered_iteritems(results):
output(key + ':')
val = res[1]
output(' min: %+.2e, mean: %+.2e, max: %+.2e'
% (val.min(), val.mean(), val.max()))
output.level -= 2
def main():
from sfepy import data_dir
parser = OptionParser(usage=usage, version='%prog')
parser.add_option('--young',
metavar='float',
type=float,
action='store',
dest='young',
default=2000.0,
help=helps['young'])
parser.add_option('--poisson',
metavar='float',
type=float,
action='store',
dest='poisson',
default=0.4,
help=helps['poisson'])
parser.add_option('--load',
metavar='float',
type=float,
action='store',
dest='load',
default=-1000.0,
help=helps['load'])
parser.add_option('--order',
metavar='int',
type=int,
action='store',
dest='order',
default=1,
help=helps['order'])
parser.add_option('-r',
'--refine',
metavar='int',
type=int,
action='store',
dest='refine',
default=0,
help=helps['refine'])
parser.add_option('-s',
'--show',
action="store_true",
dest='show',
default=False,
help=helps['show'])
parser.add_option('-p',
'--probe',
action="store_true",
dest='probe',
default=False,
help=helps['probe'])
options, args = parser.parse_args()
assert_((0.0 < options.poisson < 0.5),
"Poisson's ratio must be in ]0, 0.5[!")
assert_((0 < options.order),
'displacement approximation order must be at least 1!')
output('using values:')
output(" Young's modulus:", options.young)
output(" Poisson's ratio:", options.poisson)
output(' vertical load:', options.load)
output('uniform mesh refinement level:', options.refine)
# Build the problem definition.
mesh = Mesh.from_file(data_dir + '/meshes/2d/its2D.mesh')
domain = FEDomain('domain', mesh)
if options.refine > 0:
for ii in xrange(options.refine):
output('refine %d...' % ii)
domain = domain.refine()
output('... %d nodes %d elements' %
(domain.shape.n_nod, domain.shape.n_el))
omega = domain.create_region('Omega', 'all')
left = domain.create_region('Left', 'vertices in x < 0.001', 'facet')
bottom = domain.create_region('Bottom', 'vertices in y < 0.001', 'facet')
top = domain.create_region('Top', 'vertex 2', 'vertex')
field = Field.from_args('fu',
nm.float64,
'vector',
omega,
approx_order=options.order)
u = FieldVariable('u', 'unknown', field)
v = FieldVariable('v', 'test', field, primary_var_name='u')
D = stiffness_from_youngpoisson(2, options.young, options.poisson)
asphalt = Material('Asphalt', D=D)
load = Material('Load', values={'.val': [0.0, options.load]})
integral = Integral('i', order=2 * options.order)
integral0 = Integral('i', order=0)
t1 = Term.new('dw_lin_elastic(Asphalt.D, v, u)',
integral,
omega,
Asphalt=asphalt,
v=v,
u=u)
t2 = Term.new('dw_point_load(Load.val, v)', integral0, top, Load=load, v=v)
eq = Equation('balance', t1 - t2)
eqs = Equations([eq])
xsym = EssentialBC('XSym', bottom, {'u.1': 0.0})
ysym = EssentialBC('YSym', left, {'u.0': 0.0})
ls = ScipyDirect({})
nls_status = IndexedStruct()
nls = Newton({}, lin_solver=ls, status=nls_status)
pb = Problem('elasticity', equations=eqs, nls=nls, ls=ls)
pb.time_update(ebcs=Conditions([xsym, ysym]))
# Solve the problem.
state = pb.solve()
output(nls_status)
# Postprocess the solution.
out = state.create_output_dict()
out = stress_strain(out, pb, state, extend=True)
pb.save_state('its2D_interactive.vtk', out=out)
gdata = geometry_data['2_3']
nc = len(gdata.coors)
integral_vn = Integral('ivn',
coors=gdata.coors,
weights=[gdata.volume / nc] * nc)
nodal_stress(out, pb, state, integrals=Integrals([integral_vn]))
if options.probe:
# Probe the solution.
probes, labels = gen_lines(pb)
sfield = Field.from_args('sym_tensor',
nm.float64,
3,
omega,
approx_order=options.order - 1)
stress = FieldVariable('stress',
'parameter',
sfield,
primary_var_name='(set-to-None)')
strain = FieldVariable('strain',
'parameter',
sfield,
primary_var_name='(set-to-None)')
cfield = Field.from_args('component',
nm.float64,
1,
omega,
approx_order=options.order - 1)
component = FieldVariable('component',
'parameter',
cfield,
primary_var_name='(set-to-None)')
ev = pb.evaluate
order = 2 * (options.order - 1)
strain_qp = ev('ev_cauchy_strain.%d.Omega(u)' % order, mode='qp')
stress_qp = ev('ev_cauchy_stress.%d.Omega(Asphalt.D, u)' % order,
mode='qp',
copy_materials=False)
project_by_component(strain, strain_qp, component, order)
project_by_component(stress, stress_qp, component, order)
all_results = []
for ii, probe in enumerate(probes):
fig, results = probe_results(u, strain, stress, probe, labels[ii])
fig.savefig('its2D_interactive_probe_%d.png' % ii)
all_results.append(results)
for ii, results in enumerate(all_results):
output('probe %d:' % ii)
output.level += 2
for key, res in ordered_iteritems(results):
output(key + ':')
val = res[1]
output(' min: %+.2e, mean: %+.2e, max: %+.2e' %
(val.min(), val.mean(), val.max()))
output.level -= 2
if options.show:
# Show the solution. If the approximation order is greater than 1, the
# extra DOFs are simply thrown away.
from sfepy.postprocess.viewer import Viewer
view = Viewer('its2D_interactive.vtk')
view(vector_mode='warp_norm',
rel_scaling=1,
is_scalar_bar=True,
is_wireframe=True)
