def test_material_functions(self):
from sfepy.discrete import Material
problem = self.problem
conf = problem.conf
ts = problem.get_default_ts(step=0)
conf_mat1 = conf.get_item_by_name('materials', 'mf1')
mat1 = Material.from_conf(conf_mat1, problem.functions)
mat1.time_update(ts, None, mode='normal', problem=problem)
coors = problem.domain.get_mesh_coors()
assert_(nm.all(coors[:,0] == mat1.get_data(None, 'x_0')))
conf_mat2 = conf.get_item_by_name('materials', 'mf2')
mat2 = Material.from_conf(conf_mat2, problem.functions)
mat2.time_update(ts, None, mode='normal', problem=problem)
assert_(nm.all(coors[:,1] == mat2.get_data(None, 'x_1')))
materials = problem.get_materials()
materials.time_update(ts, problem.equations, mode='normal',
problem=problem)
mat3 = materials['mf3']
key = mat3.get_keys(region_name='Omega')[0]
assert_(nm.all(mat3.get_data(key, 'a') == 10.0))
assert_(nm.all(mat3.get_data(key, 'b') == 2.0))
assert_(mat3.get_data(None, 'c') == 'ahoj')
return True
def test_material_functions(self):
from sfepy.discrete import Material
problem = self.problem
conf = problem.conf
ts = problem.get_default_ts(step=0)
conf_mat1 = conf.get_item_by_name('materials', 'mf1')
mat1 = Material.from_conf(conf_mat1, problem.functions)
mat1.time_update(ts, None, mode='normal', problem=problem)
coors = problem.domain.get_mesh_coors()
assert_(nm.all(coors[:,0] == mat1.get_data(None, None, 'x_0')))
conf_mat2 = conf.get_item_by_name('materials', 'mf2')
mat2 = Material.from_conf(conf_mat2, problem.functions)
mat2.time_update(ts, None, mode='normal', problem=problem)
assert_(nm.all(coors[:,1] == mat2.get_data(None, None, 'x_1')))
materials = problem.get_materials()
materials.time_update(ts, problem.equations, mode='normal',
problem=problem)
mat3 = materials['mf3']
key = mat3.get_keys(region_name='Omega')[0]
assert_(nm.all(mat3.get_data(key, 0, 'a') == 10.0))
assert_(nm.all(mat3.get_data(key, 0, 'b') == 2.0))
assert_(mat3.get_data(None, None, 'c') == 'ahoj')
return True
def test_solving(self):
from sfepy.base.base import IndexedStruct
from sfepy.discrete import (FieldVariable, Material, Problem, Function,
Equation, Equations, Integral)
from sfepy.discrete.conditions import Conditions, EssentialBC
from sfepy.terms import Term
from sfepy.solvers.ls import ScipyDirect
from sfepy.solvers.nls import Newton
from sfepy.mechanics.matcoefs import stiffness_from_lame
u = FieldVariable('u', 'unknown', self.field)
v = FieldVariable('v', 'test', self.field, primary_var_name='u')
m = Material('m', D=stiffness_from_lame(self.dim, 1.0, 1.0))
f = Material('f', val=[[0.02], [0.01]])
bc_fun = Function('fix_u_fun', fix_u_fun,
extra_args={'extra_arg' : 'hello'})
fix_u = EssentialBC('fix_u', self.gamma1, {'u.all' : bc_fun})
shift_u = EssentialBC('shift_u', self.gamma2, {'u.0' : 0.1})
integral = Integral('i', order=3)
t1 = Term.new('dw_lin_elastic(m.D, v, u)',
integral, self.omega, m=m, v=v, u=u)
t2 = Term.new('dw_volume_lvf(f.val, v)', integral, self.omega, f=f, v=v)
eq = Equation('balance', t1 + t2)
eqs = Equations([eq])
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]))
state = pb.solve()
name = op.join(self.options.out_dir, 'test_high_level_solving.vtk')
pb.save_state(name, state)
ok = nls_status.condition == 0
if not ok:
self.report('solver did not converge!')
_ok = state.has_ebc()
if not _ok:
self.report('EBCs violated!')
ok = ok and _ok
return ok
def test_material_functions(self):
from sfepy.discrete import Material
from sfepy.base.conf import transform_variables
problem = self.problem
conf = problem.conf
ts = problem.get_default_ts(step=0)
conf_mat1 = conf.get_item_by_name('materials', 'mf1')
mat1 = Material.from_conf(conf_mat1, problem.functions)
mat1.time_update(ts, None, mode='normal', problem=problem)
coors = problem.domain.get_mesh_coors()
assert_(nm.all(coors[:, 0] == mat1.get_data(None, 'x_0')))
conf_mat2 = conf.get_item_by_name('materials', 'mf2')
mat2 = Material.from_conf(conf_mat2, problem.functions)
mat2.time_update(ts, None, mode='normal', problem=problem)
assert_(nm.all(coors[:, 1] == mat2.get_data(None, 'x_1')))
materials = problem.get_materials()
materials.time_update(ts,
problem.equations,
mode='normal',
problem=problem)
mat3 = materials['mf3']
key = mat3.get_keys(region_name='Omega')[0]
assert_(nm.all(mat3.get_data(key, 'a') == 10.0))
assert_(nm.all(mat3.get_data(key, 'b') == 2.0))
assert_(mat3.get_data(None, 'c') == 'ahoj')
pb = problem.copy()
pb.set_variables(transform_variables(conf.variables2))
pb.set_equations(conf.equations2)
materials = pb.get_materials()
materials.time_update(ts, pb.equations, mode='normal', problem=pb)
mat4 = materials['mf4']
key = mat4.get_keys(region_name='Omega')[0]
assert_(nm.all(mat4.get_data(key, 'a') == -2 + 1j))
mat5 = materials['mf5']
key = mat5.get_keys(region_name='Omega')[0]
assert_(nm.all(mat5.get_data(key, 'a') == -2 - 1j))
mat6 = materials['mf6']
key = mat6.get_keys(region_name='Circle')[0]
assert_(nm.all(mat6.get_data(key, 'a') == 1 + 1j))
key = mat6.get_keys(region_name='Rest')[0]
assert_(nm.all(mat6.get_data(key, 'a') == 3j))
return 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, nls=nls, ls=ls)
pb.time_update(ebcs=Conditions([fix_u]))
state = pb.solve()
return pb, state, u, gamma2
def _get_material(self, property_array, domain):
"""
Creates an SfePy material from the material property fields for the
quadrature points.
Args:
property_array: array of the properties with shape (n_x, n_y, n_z, 2)
Returns:
an SfePy material
"""
min_xyz = domain.get_mesh_bounding_box()[0]
dims = domain.get_mesh_bounding_box().shape[1]
def _material_func_(ts, coors, mode=None, **kwargs):
if mode == 'qp':
ijk_out = np.empty_like(coors, dtype=int)
ijk = np.floor((coors - min_xyz[None]) / self.dx,
ijk_out, casting="unsafe")
ijk_tuple = tuple(ijk.swapaxes(0, 1))
property_array_qp = property_array[ijk_tuple]
lam = property_array_qp[..., 0]
mu = property_array_qp[..., 1]
lam = np.ascontiguousarray(lam.reshape((lam.shape[0], 1, 1)))
mu = np.ascontiguousarray(mu.reshape((mu.shape[0], 1, 1)))
from sfepy.mechanics.matcoefs import stiffness_from_lame
stiffness = stiffness_from_lame(dims, lam=lam, mu=mu)
return {'lam': lam, 'mu': mu, 'D': stiffness}
else:
return
material_func = Function('material_func', _material_func_)
return Material('m', function=material_func)
def test_boundary_fluxes( self ):
import os.path as op
from sfepy.linalg import rotation_matrix2d
from sfepy.discrete.evaluate import BasicEvaluator
from sfepy.discrete import Material
problem = self.problem
angles = [0, 30, 45]
region_names = ['Left', 'Right', 'Gamma']
values = [5.0, -5.0, 0.0]
variables = problem.get_variables()
get_state = variables.get_state_part_view
state = self.state.copy(deep=True)
problem.time_update(ebcs={}, epbcs={})
# problem.save_ebc( 'aux.vtk' )
state.apply_ebc()
ev = BasicEvaluator( problem )
aux = ev.eval_residual(state())
field = variables['t'].field
conf_m = problem.conf.get_item_by_name('materials', 'm')
m = Material.from_conf(conf_m, problem.functions)
name = op.join( self.options.out_dir,
op.split( problem.domain.mesh.name )[1] + '_%02d.mesh' )
orig_coors = problem.get_mesh_coors().copy()
ok = True
for ia, angle in enumerate( angles ):
self.report( '%d: mesh rotation %d degrees' % (ia, angle) )
problem.domain.mesh.transform_coors( rotation_matrix2d( angle ),
ref_coors = orig_coors )
problem.set_mesh_coors(problem.domain.mesh.coors,
update_fields=True)
problem.domain.mesh.write( name % angle, io = 'auto' )
for ii, region_name in enumerate( region_names ):
flux_term = 'd_surface_flux.i.%s( m.K, t )' % region_name
val1 = problem.evaluate(flux_term, t=variables['t'], m=m)
rvec = get_state( aux, 't', True )
reg = problem.domain.regions[region_name]
nods = field.get_dofs_in_region(reg, merge=True)
val2 = rvec[nods].sum() # Assume 1 dof per node.
ok = ok and ((abs( val1 - values[ii] ) < 1e-10) and
(abs( val2 - values[ii] ) < 1e-10))
self.report( ' %d. %s: %e == %e == %e'\
% (ii, region_name, val1, val2, values[ii]) )
# Restore original coordinates.
problem.domain.mesh.transform_coors(rotation_matrix2d(0),
ref_coors=orig_coors)
problem.set_mesh_coors(problem.domain.mesh.coors,
update_fields=True)
return ok
def eval_force(region_name):
strain = problem.evaluate(
'ev_cauchy_strain.i.%s(u)' % region_name,
mode='qp',
verbose=False,
)
D = problem.evaluate(
'ev_integrate_mat.i.%s(solid.D, u)' % region_name,
mode='qp',
verbose=False,
)
normal = nm.array([1, 0, 0], dtype=nm.float64)
s2f = get_full_indices(len(normal))
stress = nm.einsum('cqij,cqjk->cqik', D, strain)
# Full (matrix) form of stress.
mstress = stress[..., s2f, 0]
# Force in normal direction.
force = nm.einsum('cqij,i,j->cq', mstress, normal, normal)
def get_force(ts, coors, mode=None, **kwargs):
if mode == 'qp':
return {'force': force.reshape(coors.shape[0], 1, 1)}
aux = Material('aux', function=Function('get_force', get_force))
middle_force = -problem.evaluate(
'ev_integrate_mat.i.%s(aux.force, u)' % region_name,
aux=aux,
verbose=False,
)
output('%s section axial force:' % region_name, middle_force)
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 test_boundary_fluxes(self):
import os.path as op
from sfepy.linalg import rotation_matrix2d
from sfepy.discrete.evaluate import BasicEvaluator
from sfepy.discrete import Material
problem = self.problem
angles = [0, 30, 45]
region_names = ['Left', 'Right', 'Gamma']
values = [5.0, -5.0, 0.0]
variables = problem.get_variables()
get_state = variables.get_state_part_view
state = self.state.copy(deep=True)
problem.time_update(ebcs={}, epbcs={})
# problem.save_ebc( 'aux.vtk' )
state.apply_ebc()
ev = BasicEvaluator(problem)
aux = ev.eval_residual(state())
field = variables['t'].field
conf_m = problem.conf.get_item_by_name('materials', 'm')
m = Material.from_conf(conf_m, problem.functions)
name = op.join(self.options.out_dir,
op.split(problem.domain.mesh.name)[1] + '_%02d.mesh')
orig_coors = problem.get_mesh_coors().copy()
ok = True
for ia, angle in enumerate(angles):
self.report('%d: mesh rotation %d degrees' % (ia, angle))
problem.domain.mesh.transform_coors(rotation_matrix2d(angle),
ref_coors=orig_coors)
problem.set_mesh_coors(problem.domain.mesh.coors,
update_fields=True)
problem.domain.mesh.write(name % angle, io='auto')
for ii, region_name in enumerate(region_names):
flux_term = 'd_surface_flux.i.%s( m.K, t )' % region_name
val1 = problem.evaluate(flux_term, t=variables['t'], m=m)
rvec = get_state(aux, 't', True)
reg = problem.domain.regions[region_name]
nods = field.get_dofs_in_region(reg, merge=True)
val2 = rvec[nods].sum() # Assume 1 dof per node.
ok = ok and ((abs(val1 - values[ii]) < 1e-10) and
(abs(val2 - values[ii]) < 1e-10))
self.report( ' %d. %s: %e == %e == %e'\
% (ii, region_name, val1, val2, values[ii]) )
# Restore original coordinates.
problem.domain.mesh.transform_coors(rotation_matrix2d(0),
ref_coors=orig_coors)
problem.set_mesh_coors(problem.domain.mesh.coors, update_fields=True)
return ok
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 prepare_materials(self, field, velo=1.0, diffusion=0.1, penalty=100):
"""
Crates material objects with data attribute, containing properly shaped
data to pass to terms
:param field: DGField
:param velo: optional values for velocity a
:param diffusion: optional value for diffusion tensor D
:param penalty: optional value for diffusion penalty Cw
:return: a, D, Cw
"""
a = Material('a', val=[velo])
a.data = nm.ones((field.n_cell, 1)) * velo
D = Material('D', val=[diffusion])
D.data = nm.ones((field.n_cell, 1, 1)) * diffusion
Cw = Material("Cw", values={".val": penalty})
Cw.data = penalty
return a, D, Cw
def get_material(calc_stiffness, calc_prestress):
"""Get the material
Args:
calc_stiffness: the function for calculating the stiffness tensor
calc_prestress: the function for calculating the prestress
Returns:
the material
"""
def _material_func_(_, coors, mode=None, **__):
if mode == "qp":
return dict(D=calc_stiffness(coors), stress=calc_prestress(coors))
return None
return Material("m", function=Function("material_func", _material_func_))
def _get_material(property_array, domain, delta_x):
"""
Creates an SfePy material from the material property fields for the
quadrature points.
Args:
property_array: array of the properties with shape (n_x, n_y, n_z, 2)
domain: the Sfepy domain
delta_x: the grid spacing
Returns:
a SfePy material
"""
reshape = lambda x: np.ascontiguousarray(x.reshape((x.shape[0], 1, 1)))
def _material_func_(_, coors, mode=None, **__):
if mode == "qp":
return pipe(
np.empty_like(coors, dtype=int),
lambda x: np.floor(
(coors - domain.get_mesh_bounding_box()[0][None]) /
delta_x,
x,
casting="unsafe",
),
lambda x: x.swapaxes(0, 1),
tuple,
lambda x: property_array[x],
lambda x: dict(
lam=reshape(x[..., 0]),
mu=reshape(x[..., 1]),
D=stiffness_from_lame(
domain.get_mesh_bounding_box().shape[1],
lam=x[..., 0],
mu=x[..., 1],
),
),
)
return None
return Material("m", function=Function("material_func", _material_func_))
def __init__(self, dim, approx_order, **kwargs):
"""
Creates Struct object with all the data necessary to test terms
:param dim: dimension
:param approx_order: approximation order
:param kwargs: velo, diffusion or penalty for prepare_materials
:return: term test scope
"""
if dim == 1:
(field, regions), mesh = prepare_dgfield_1D(approx_order)
elif dim == 2:
(field, regions), mesh = prepare_field_2D(approx_order)
self.field = field
self.regions = regions
self.mesh = mesh
self.n_cell = field.n_cell
self.n_nod = field.n_nod
self.n_el_nod = field.n_el_nod
self.u, self.v = self.prepare_variables(field)
self.u.data = [(nm.zeros(self.n_nod))]
self.variables = Variables([ self.u, self.v])
self.integral = Integral('i', order=approx_order * 2)
self.a, self.D, self.Cw = self.prepare_materials(field, **kwargs)
if dim == 1:
velo = nm.array(1.0)
elif dim == 2:
velo = nm.array([1.0, 0])
self.burg_velo = velo.T / nm.linalg.norm(velo)
self.nonlin = Material('nonlin',
values={'.fun': self.burg_fun,
'.dfun': self.burg_fun_d})
self.out = nm.zeros((self.n_cell, 1, self.n_el_nod, 1))
def test_boundary_fluxes(self):
from sfepy.discrete.evaluate import BasicEvaluator
from sfepy.discrete import Material
problem = self.problem
region_names = ['Gamma']
variables = problem.get_variables()
get_state = variables.get_state_part_view
state = self.state.copy(deep=True)
problem.time_update(ebcs={}, epbcs={})
## problem.save_ebc( 'aux.vtk' )
state.apply_ebc()
ev = BasicEvaluator(problem)
aux = ev.eval_residual(state())
field = variables['t'].field
conf_m = problem.conf.get_item_by_name('materials', 'm')
m = Material.from_conf(conf_m, problem.functions)
ok = True
for ii, region_name in enumerate(region_names):
flux_term = 'd_surface_flux.1.%s( m.K, t )' % region_name
val1 = problem.evaluate(flux_term, t=variables['t'], m=m)
rvec = get_state(aux, 't', True)
reg = problem.domain.regions[region_name]
nods = field.get_dofs_in_region(reg, merge=True)
val2 = rvec[nods].sum() # Assume 1 dof per node.
eps = 1e-2
ok = ok and ((abs(val1 - val2) < eps))
self.report( '%d. %s: |%e - %e| = %e < %.2e'\
% (ii, region_name, val1, val2, abs( val1 - val2 ),
eps) )
return ok
def test_boundary_fluxes( self ):
from sfepy.discrete.evaluate import BasicEvaluator
from sfepy.discrete import Material
problem = self.problem
region_names = ['Gamma']
variables = problem.get_variables()
get_state = variables.get_state_part_view
state = self.state.copy(deep=True)
problem.time_update(ebcs={}, epbcs={})
## problem.save_ebc( 'aux.vtk' )
state.apply_ebc()
ev = BasicEvaluator( problem )
aux = ev.eval_residual(state())
field = variables['t'].field
conf_m = problem.conf.get_item_by_name('materials', 'm')
m = Material.from_conf(conf_m, problem.functions)
ok = True
for ii, region_name in enumerate( region_names ):
flux_term = 'd_surface_flux.1.%s( m.K, t )' % region_name
val1 = problem.evaluate(flux_term, t=variables['t'], m=m)
rvec = get_state( aux, 't', True )
reg = problem.domain.regions[region_name]
nods = field.get_dofs_in_region(reg, merge=True)
val2 = rvec[nods].sum() # Assume 1 dof per node.
eps = 1e-2
ok = ok and ((abs( val1 - val2 ) < eps))
self.report( '%d. %s: |%e - %e| = %e < %.2e'\
% (ii, region_name, val1, val2, abs( val1 - val2 ),
eps) )
return ok
def compute_erros(analytic_fun, pb):
"""
Compute errors from analytical solution in conf.sol_fun and numerical
solution saved in pb
:param analytic_fun: analytic solution
:param pb: problem with numerical solution
:return: analytic_fun L2 norm,
vaules of analytic_fun in qps
L2 norm of difference between analytic and numerical solution
relative difference
values of numerical solution in qps
"""
idiff = Integral('idiff', 20)
num_qp = pb.evaluate('ev_volume_integrate.idiff.Omega(p)',
integrals=Integrals([idiff]),
mode='qp',
copy_materials=False,
verbose=False)
aux = Material('aux', function=analytic_fun)
ana_qp = pb.evaluate('ev_volume_integrate_mat.idiff.Omega(aux.p, p)',
aux=aux,
integrals=Integrals([idiff]),
mode='qp',
copy_materials=False,
verbose=False)
field = pb.fields['f']
det = get_jacobian(field, idiff)
diff_l2 = nm.sqrt((((num_qp - ana_qp)**2) * det).sum())
ana_l2 = nm.sqrt(((ana_qp**2) * det).sum())
rel_l2 = diff_l2 / ana_l2
diff_loo = nm.max(num_qp - ana_qp)
ana_loo = nm.max(ana_qp)
rel_loo = diff_loo / ana_loo
diff_l1 = nm.sqrt((nm.abs(num_qp - ana_qp) * det).sum())
ana_l1 = nm.sqrt((nm.abs(ana_qp) * det).sum())
rel_l1 = diff_l2 / ana_l2
return ana_l2, ana_qp, diff_l2, rel_l2, num_qp
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 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 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 = 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, 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 make_term_args(arg_shapes,
arg_kinds,
arg_types,
ats_mode,
domain,
material_value=None,
poly_space_base=None):
from sfepy.base.base import basestr
from sfepy.discrete import FieldVariable, Material, Variables, Materials
from sfepy.discrete.fem import Field
from sfepy.solvers.ts import TimeStepper
from sfepy.mechanics.tensors import dim2sym
omega = domain.regions['Omega']
dim = domain.shape.dim
sym = dim2sym(dim)
def _parse_scalar_shape(sh):
if isinstance(sh, basestr):
if sh == 'D':
return dim
elif sh == 'S':
return sym
elif sh == 'N': # General number ;)
return 1
else:
return int(sh)
else:
return sh
def _parse_tuple_shape(sh):
if isinstance(sh, basestr):
return [_parse_scalar_shape(ii.strip()) for ii in sh.split(',')]
else:
return (int(sh), )
args = {}
str_args = []
materials = []
variables = []
for ii, arg_kind in enumerate(arg_kinds):
if arg_kind != 'ts':
if ats_mode is not None:
extended_ats = arg_types[ii] + ('/%s' % ats_mode)
else:
extended_ats = arg_types[ii]
try:
sh = arg_shapes[arg_types[ii]]
except KeyError:
sh = arg_shapes[extended_ats]
if arg_kind.endswith('variable'):
shape = _parse_scalar_shape(sh[0] if isinstance(sh, tuple) else sh)
field = Field.from_args('f%d' % ii,
nm.float64,
shape,
omega,
approx_order=1,
poly_space_base=poly_space_base)
if arg_kind == 'virtual_variable':
if sh[1] is not None:
istate = arg_types.index(sh[1])
else:
# Only virtual variable in arguments.
istate = -1
# -> Make fake variable.
var = FieldVariable('u-1', 'unknown', field)
var.set_constant(0.0)
variables.append(var)
var = FieldVariable('v',
'test',
field,
primary_var_name='u%d' % istate)
elif arg_kind == 'state_variable':
var = FieldVariable('u%d' % ii, 'unknown', field)
var.set_constant(0.0)
elif arg_kind == 'parameter_variable':
var = FieldVariable('p%d' % ii,
'parameter',
field,
primary_var_name='(set-to-None)')
var.set_constant(0.0)
variables.append(var)
str_args.append(var.name)
args[var.name] = var
elif arg_kind.endswith('material'):
if sh is None: # Switched-off opt_material.
continue
prefix = ''
if isinstance(sh, basestr):
aux = sh.split(':')
if len(aux) == 2:
prefix, sh = aux
if material_value is None:
material_value = 1.0
shape = _parse_tuple_shape(sh)
if (len(shape) > 1) or (shape[0] > 1):
if ((len(shape) == 2) and (shape[0] == shape[1])
and (material_value != 0.0)):
# Identity matrix.
val = nm.eye(shape[0], dtype=nm.float64)
else:
# Array.
val = nm.empty(shape, dtype=nm.float64)
val.fill(material_value)
values = {'%sc%d' % (prefix, ii): val}
elif (len(shape) == 1) and (shape[0] == 1):
# Single scalar as a special value.
values = {'.c%d' % ii: material_value}
else:
raise ValueError('wrong material shape! (%s)' % shape)
mat = Material('m%d' % ii, values=values)
materials.append(mat)
str_args.append(mat.name + '.' + 'c%d' % ii)
args[mat.name] = mat
elif arg_kind == 'ts':
ts = TimeStepper(0.0, 1.0, 1.0, 5)
str_args.append('ts')
args['ts'] = ts
else:
str_args.append('user%d' % ii)
args[str_args[-1]] = None
materials = Materials(materials)
variables = Variables(variables)
return args, str_args, materials, variables
min_z, max_z = domain.get_mesh_bounding_box()[:, 2]
eps = 1e-4 * (max_z - min_z)
omega = domain.create_region('Omega', 'all')
bot = domain.create_region('Bot', 'vertices in z < %.10f' % (min_z + eps),
'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,
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 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():
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 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!')
# f = FieldVariable('f', 'parameter', field, {'setter' : get_forcing_term}, primary_var_name='set-to-None')
# self, name, kind, field, order=None, primary_var_name=None,special=None, flags=None, **kwargs):
def get_forcing_term(ts, coors, mode=None, **kwargs):
if mode == 'qp':
x = coors[:, 0]
y = coors[:, 1]
val = -2 * np.sin(x / np.pi) * np.sin(y / np.pi)
# val = np.exp(-(x**2+10*y**2))
val.shape = (coors.shape[0], 1, 1)
return {'val': val}
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)
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)
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 main(argv):
if argv is None:
argv = sys.argv[1:]
args = parser.parse_args(argv)
# vvvvvvvvvvvvvvvv #
approx_order = 2
# ^^^^^^^^^^^^^^^^ #
# Setup output names
outputs_folder = "../outputs"
domain_name = "domain_1D"
problem_name = "iburgers_1D"
output_folder = pjoin(outputs_folder, problem_name, str(approx_order))
output_format = "vtk"
save_timestn = 100
clear_folder(pjoin(output_folder, "*." + output_format))
configure_output({
'output_screen':
True,
'output_log_name':
pjoin(output_folder, f"last_run_{problem_name}_{approx_order}.txt")
})
# ------------
# | Get mesh |
# ------------
X1 = 0.
XN = 1.
n_nod = 100
n_el = n_nod - 1
mesh = get_gen_1D_mesh_hook(X1, XN, n_nod).read(None)
# -----------------------------
# | Create problem components |
# -----------------------------
integral = Integral('i', order=approx_order * 2)
domain = FEDomain(domain_name, mesh)
omega = domain.create_region('Omega', 'all')
left = domain.create_region('Gamma1', 'vertices in x == %.10f' % X1,
'vertex')
right = domain.create_region('Gamma2', 'vertices in x == %.10f' % XN,
'vertex')
field = DGField('dgfu',
nm.float64,
'scalar',
omega,
approx_order=approx_order)
u = FieldVariable('u', 'unknown', field, history=1)
v = FieldVariable('v', 'test', field, primary_var_name='u')
MassT = DotProductVolumeTerm("adv_vol(v, u)",
"v, u",
integral,
omega,
u=u,
v=v)
velo = nm.array(1.0)
def adv_fun(u):
vu = velo.T * u[..., None]
return vu
def adv_fun_d(u):
v1 = velo.T * nm.ones(u.shape + (1, ))
return v1
burg_velo = velo.T / nm.linalg.norm(velo)
def burg_fun(u):
vu = burg_velo * u[..., None]**2
return vu
def burg_fun_d(u):
v1 = 2 * burg_velo * u[..., None]
return v1
StiffT = NonlinearScalarDotGradTerm("burgers_stiff(f, df, u, v)",
"fun , fun_d, u[-1], v",
integral,
omega,
u=u,
v=v,
fun=burg_fun,
fun_d=burg_fun_d)
alpha = Material('alpha', val=[.0])
# FluxT = AdvectDGFluxTerm("adv_lf_flux(a.val, v, u)", "a.val, v, u[-1]",
# integral, omega, u=u, v=v, a=a, alpha=alpha)
FluxT = NonlinearHyperbolicDGFluxTerm("burgers_lf_flux(f, df, u, v)",
"fun , fun_d, v, u[-1]",
integral,
omega,
u=u,
v=v,
fun=burg_fun,
fun_d=burg_fun_d)
eq = Equation('balance', MassT - StiffT + FluxT)
eqs = Equations([eq])
# ------------------------------
# | Create boundary conditions |
# ------------------------------
left_fix_u = EssentialBC('left_fix_u', left, {'u.all': 1.0})
right_fix_u = EssentialBC('right_fix_u', right, {'u.all': 0.0})
# ----------------------------
# | Create initial condition |
# ----------------------------
def ghump(x):
"""
Nice gaussian.
"""
return nm.exp(-200 * x**2)
def ic_wrap(x, ic=None):
return ghump(x - .3)
ic_fun = Function('ic_fun', ic_wrap)
ics = InitialCondition('ic', omega, {'u.0': ic_fun})
# ------------------
# | Create problem |
# ------------------
pb = Problem(problem_name,
equations=eqs,
conf=Struct(options={"save_times": save_timestn},
ics={},
ebcs={},
epbcs={},
lcbcs={},
materials={}),
active_only=False)
pb.setup_output(output_dir=output_folder, output_format=output_format)
pb.set_ics(Conditions([ics]))
# ------------------
# | Create limiter |
# ------------------
limiter = MomentLimiter1D
# ---------------------------
# | Set time discretization |
# ---------------------------
CFL = .2
max_velo = nm.max(nm.abs(velo))
t0 = 0
t1 = .2
dx = nm.min(mesh.cmesh.get_volumes(1))
dt = dx / max_velo * CFL / (2 * approx_order + 1)
tn = int(nm.ceil((t1 - t0) / dt))
dtdx = dt / dx
# ------------------
# | Create solver |
# ------------------
ls = ScipyDirect({})
nls_status = IndexedStruct()
nls = Newton({'is_linear': True}, lin_solver=ls, status=nls_status)
tss_conf = {
't0': t0,
't1': t1,
'n_step': tn,
'limiters': {
"dgfu": limiter
}
}
tss = TVDRK3StepSolver(tss_conf, nls=nls, context=pb, verbose=True)
# ---------
# | Solve |
# ---------
pb.set_solver(tss)
state_end = pb.solve()
output("Solved equation \n\n\t\t u_t - div(f(u))) = 0\n")
output(f"With IC: {ic_fun.name}")
# output("and EBCs: {}".format(pb.ebcs.names))
# output("and EPBCS: {}".format(pb.epbcs.names))
output("-------------------------------------")
output(f"Approximation order is {approx_order}")
output(f"Space divided into {mesh.n_el} cells, " +
f"{len(mesh.coors)} steps, step size is {dx}")
output(f"Time divided into {tn - 1} nodes, {tn} steps, step size is {dt}")
output(f"CFL coefficient was {CFL} and " +
f"order correction {1 / (2 * approx_order + 1)}")
output(f"Courant number c = max(abs(u)) * dt/dx = {max_velo * dtdx}")
output("------------------------------------------")
output(f"Time stepping solver is {tss.name}")
output(f"Limiter used: {limiter.name}")
output("======================================")
# ----------
# | Plot 1D|
# ----------
load_and_plot_fun(output_folder, domain_name, t0, t1,
min(tn, save_timestn), ic_fun)
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])
