def gen_two_bodies(dims0, shape0, centre0, dims1, shape1, centre1, shift1):
from sfepy.discrete.fem import Mesh
from sfepy.mesh.mesh_generators import gen_block_mesh
m0 = gen_block_mesh(dims0, shape0, centre0)
m1 = gen_block_mesh(dims1, shape1, centre1)
coors = nm.concatenate((m0.coors, m1.coors + shift1), axis=0)
desc = m0.descs[0]
c0 = m0.get_conn(desc)
c1 = m1.get_conn(desc)
conn = nm.concatenate((c0, c1 + m0.n_nod), axis=0)
ngroups = nm.zeros(coors.shape[0], dtype=nm.int32)
ngroups[m0.n_nod:] = 1
mat_id = nm.zeros(conn.shape[0], dtype=nm.int32)
mat_id[m0.n_el:] = 1
name = 'two_bodies.mesh'
mesh = Mesh.from_data(name, coors, ngroups, [conn], [mat_id], m0.descs)
mesh.write(name, io='auto')
return mesh
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('--show',
action="store_true",
dest='show',
default=False,
help=helps['show'])
options = parser.parse_args()
dims = nm.array(eval(options.dims), dtype=nm.float64)
centre = nm.array(eval(options.centre), dtype=nm.float64)
shape = nm.array(eval(options.shape), dtype=nm.int32)
output('dimensions:', dims)
output('centre: ', centre)
output('shape: ', shape)
mesh = gen_block_mesh(dims, shape, centre, name='block-fem')
fe_domain = FEDomain('domain', mesh)
pb, state = run(fe_domain, 1)
pb.save_state('laplace_shifted_periodic.vtk', state)
if options.show:
from sfepy.postprocess.viewer import Viewer
from sfepy.postprocess.domain_specific import DomainSpecificPlot
view = Viewer('laplace_shifted_periodic.vtk')
view(rel_scaling=1,
domain_specific={
'u': DomainSpecificPlot('plot_warp_scalar', ['rel_scaling=1'])
},
is_scalar_bar=True,
is_wireframe=True,
opacity=0.3)
def mesh_hook(mesh, mode):
if mode == 'read':
mesh = gen_block_mesh([0.0098, 0.0011, 0.1], [5, 3, 17],
[0, 0, 0.05], name='specimen',
verbose=False)
return mesh
elif mode == 'write':
pass
def test_gen_block_mesh(self):
from sfepy.mesh.mesh_generators import gen_block_mesh
mesh = gen_block_mesh([1, 2, 3], [4, 3, 5], [2, 1, 0], verbose=False)
filename = op.join(self.options.out_dir, 'gen_block.mesh')
mesh.write(filename)
self.report('block mesh generated')
return True
def mesh_hook(mesh, mode):
if mode == 'read':
mesh = gen_block_mesh([0.0098, 0.0011, 0.1], [5, 3, 17], [0, 0, 0.05],
name='specimen',
verbose=False)
return mesh
elif mode == 'write':
pass
def test_projection_iga_fem(self):
from sfepy.discrete import FieldVariable
from sfepy.discrete.fem import FEDomain, Field
from sfepy.discrete.iga.domain import IGDomain
from sfepy.mesh.mesh_generators import gen_block_mesh
from sfepy.discrete.iga.domain_generators import gen_patch_block_domain
from sfepy.discrete.projections import (make_l2_projection,
make_l2_projection_data)
shape = [10, 12, 12]
dims = [5, 6, 6]
centre = [0, 0, 0]
degrees = [2, 2, 2]
nurbs, bmesh, regions = gen_patch_block_domain(dims, shape, centre,
degrees,
cp_mode='greville',
name='iga')
ig_domain = IGDomain('iga', nurbs, bmesh, regions=regions)
ig_omega = ig_domain.create_region('Omega', 'all')
ig_field = Field.from_args('iga', nm.float64, 1, ig_omega,
approx_order='iga', poly_space_base='iga')
ig_u = FieldVariable('ig_u', 'parameter', ig_field,
primary_var_name='(set-to-None)')
mesh = gen_block_mesh(dims, shape, centre, name='fem')
fe_domain = FEDomain('fem', mesh)
fe_omega = fe_domain.create_region('Omega', 'all')
fe_field = Field.from_args('fem', nm.float64, 1, fe_omega,
approx_order=2)
fe_u = FieldVariable('fe_u', 'parameter', fe_field,
primary_var_name='(set-to-None)')
def _eval_data(ts, coors, mode, **kwargs):
return nm.prod(coors**2, axis=1)[:, None, None]
make_l2_projection_data(ig_u, _eval_data)
make_l2_projection(fe_u, ig_u) # This calls ig_u.evaluate_at().
coors = 0.5 * nm.random.rand(20, 3) * dims
ig_vals = ig_u.evaluate_at(coors)
fe_vals = fe_u.evaluate_at(coors)
ok = nm.allclose(ig_vals, fe_vals, rtol=0.0, atol=1e-12)
if not ok:
self.report('iga-fem projection failed!')
self.report('coors:')
self.report(coors)
self.report('iga fem diff:')
self.report(nm.c_[ig_vals, fe_vals, nm.abs(ig_vals - fe_vals)])
return ok
def test_projection_iga_fem(self):
from sfepy.discrete import FieldVariable
from sfepy.discrete.fem import FEDomain, Field
from sfepy.discrete.iga.domain import IGDomain
from sfepy.mesh.mesh_generators import gen_block_mesh
from sfepy.discrete.iga.domain_generators import gen_patch_block_domain
from sfepy.discrete.projections import (make_l2_projection,
make_l2_projection_data)
shape = [10, 12, 12]
dims = [5, 6, 6]
centre = [0, 0, 0]
degrees = [2, 2, 2]
nurbs, bmesh, regions = gen_patch_block_domain(dims, shape, centre,
degrees,
cp_mode='greville',
name='iga')
ig_domain = IGDomain('iga', nurbs, bmesh, regions=regions)
ig_omega = ig_domain.create_region('Omega', 'all')
ig_field = Field.from_args('iga', nm.float64, 1, ig_omega,
approx_order='iga', poly_space_base='iga')
ig_u = FieldVariable('ig_u', 'parameter', ig_field,
primary_var_name='(set-to-None)')
mesh = gen_block_mesh(dims, shape, centre, name='fem')
fe_domain = FEDomain('fem', mesh)
fe_omega = fe_domain.create_region('Omega', 'all')
fe_field = Field.from_args('fem', nm.float64, 1, fe_omega,
approx_order=2)
fe_u = FieldVariable('fe_u', 'parameter', fe_field,
primary_var_name='(set-to-None)')
def _eval_data(ts, coors, mode, **kwargs):
return nm.prod(coors**2, axis=1)[:, None, None]
make_l2_projection_data(ig_u, _eval_data)
make_l2_projection(fe_u, ig_u) # This calls ig_u.evaluate_at().
coors = 0.5 * nm.random.rand(20, 3) * dims
ig_vals = ig_u.evaluate_at(coors)
fe_vals = fe_u.evaluate_at(coors)
ok = nm.allclose(ig_vals, fe_vals, rtol=0.0, atol=1e-12)
if not ok:
self.report('iga-fem projection failed!')
self.report('coors:')
self.report(coors)
self.report('iga fem diff:')
self.report(nm.c_[ig_vals, fe_vals, nm.abs(ig_vals - fe_vals)])
return ok
def test_gen_block_mesh(self):
from sfepy.mesh.mesh_generators import gen_block_mesh
mesh = gen_block_mesh([1, 2, 3], [4, 3, 5], [2, 1, 0], verbose=False)
filename = op.join(self.options.out_dir, 'gen_block.mesh')
mesh.write(filename)
self.report('block mesh generated')
csum = nm.sum(mesh.coors - nm.min(mesh.coors, axis=0), axis=0)
return nm.linalg.norm(csum - nm.array([30, 60, 90])) < tolerance
def test_gen_block_mesh(self):
from sfepy.mesh.mesh_generators import gen_block_mesh
mesh = gen_block_mesh([1, 2, 3], [4, 3, 5], [2, 1, 0], verbose=False)
filename = op.join(self.options.out_dir, 'gen_block.mesh')
mesh.write(filename)
self.report('block mesh generated')
csum = nm.sum(mesh.coors - nm.min(mesh.coors, axis=0), axis=0)
return nm.linalg.norm(csum - nm.array([30, 60, 90])) < tolerance
def test_create_output2D(self):
mesh = gen_block_mesh((1, 1), (4, 4), (.5, .5))
approx_order = 2
n_cell_nod = 9
field, regions = prepare_dgfield(approx_order, mesh)
dofs = nm.zeros((n_cell_nod * 9, 1))
output = field.create_output(dofs, "u")
assert output["u_cell_nodes"].mode == "cell_nodes"
assert nm.allclose(output["u_cell_nodes"].data, nm.zeros((9, n_cell_nod)))
assert output["u_cell_nodes"].scheme is not None
def test_create_output1D(self):
mesh = gen_block_mesh((1,), (4,), (.5,))
approx_order = 2
n_cell_nod = approx_order + 1
field, regions = prepare_dgfield(approx_order, mesh)
dofs = nm.zeros((n_cell_nod * 3, 1))
output = field.create_output(dofs, "u")
for i in range(n_cell_nod):
assert output["u_modal{}".format(i)].mode == "cell"
assert nm.allclose(output["u_modal{}".format(i)].data, nm.zeros((3, 1)))
def mesh_hook(mesh, mode):
"""
Generate the block mesh.
"""
if mode == 'read':
mesh = gen_block_mesh([2, 2, 3], [2, 2, 4], [0, 0, 1.5], name='el3',
verbose=False)
return mesh
elif mode == 'write':
pass
def mesh_hook(mesh, mode):
"""
Generate the block mesh.
"""
if mode == 'read':
mesh = gen_block_mesh(dims, shape, [0, 0, 0], name='user_block',
verbose=False)
return mesh
elif mode == 'write':
pass
def mesh_hook(mesh, mode):
"""
Generate the block mesh.
"""
if mode == 'read':
mesh = gen_block_mesh(dims, shape, [0, 0], name='user_block',
verbose=False)
return mesh
elif mode == 'write':
pass
def mesh_hook(mesh, mode):
"""
Generate the block mesh.
"""
if mode == 'read':
mesh = gen_block_mesh([2, 2, 3], [2, 2, 4], [0, 0, 1.5], name='el3',
verbose=False)
return mesh
elif mode == 'write':
pass
def _get_mesh(self, shape):
"""
Generate an Sfepy rectangular mesh
Args:
shape: proposed shape of domain (vertex shape) (n_x, n_y)
Returns:
Sfepy mesh
"""
center = np.zeros_like(shape)
return gen_block_mesh(shape, np.array(shape) + 1, center,
verbose=False)
def __init__(
self,
dims,
center_location,
cell_sizes=np.array([2, 2]),
prob_file="C:\\Users\\wbald\\sfepythings\\blocks\\fem\\prob_desc_2d.py",
put_mesh="C:\\Users\\wbald\\sfepythings"):
"""
dims: array, dimensions of rectangle [x,y]
center_location: array, centre of rectangle [x,y]
cell sizes: array, x and y side length of FEM rectangular elements
stretch: default distance by which to displace the upper y axis edge.
prob_file: problem description file
put_mesh: where to save the mesh file
"""
assert (dims.shape[0] == 2)
assert (cell_sizes.shape[0] == 2)
# assume linear elasticity. Fix strain of rectangle to 0.001 and query
# at different strains by scaling linearly
self.dims = dims
self.prob_file = prob_file
self.FEM_model_strain = 0.001
self.elongation = self.FEM_model_strain * self.dims[1]
nums = np.divide(dims, cell_sizes)
nums = np.around(nums).astype(int) + np.array([1, 1])
blockmesh = gen_block_mesh(dims, nums, center_location)
blockmesh.write(put_mesh + '\\mesh.vtk')
conf = ProblemConf.from_file(prob_file)
# 'region_ylower__1' holds the edge to be fixed
# 'region_yupper__2' holds the edge to be displaced
conf.regions['region_ylower__1'].select = 'vertices in (y < ' + str(
0.01) + ')'
conf.regions['region_yupper__2'].select = 'vertices in (y > ' + str(
dims[1] - 0.01) + ')'
conf.ebcs['ebc_Displaced__1'].dofs['u.1'] = self.elongation
self.prob = Problem.from_conf(conf)
# for reshaping sfepy output into xyz displacements
self.reshape_tuple = ((self.prob.fields['displacement'].n_nod,
self.prob.fields['displacement'].n_components))
def mesh_hook(mesh, mode):
"""
Generate the 1D mesh.
"""
if mode == 'read':
mesh = gen_block_mesh(dims,
shape,
centre,
mat_id=mat_id,
name=name,
coors=coors,
verbose=verbose)
return mesh
elif mode == 'write':
pass
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('--show',
action="store_true", dest='show',
default=False, help=helps['show'])
options = parser.parse_args()
dims = nm.array(eval(options.dims), dtype=nm.float64)
centre = nm.array(eval(options.centre), dtype=nm.float64)
shape = nm.array(eval(options.shape), dtype=nm.int32)
output('dimensions:', dims)
output('centre: ', centre)
output('shape: ', shape)
mesh = gen_block_mesh(dims, shape, centre, name='block-fem')
fe_domain = FEDomain('domain', mesh)
pb, state = run(fe_domain, 1)
pb.save_state('laplace_shifted_periodic.vtk', state)
if options.show:
from sfepy.postprocess.viewer import Viewer
from sfepy.postprocess.domain_specific import DomainSpecificPlot
view = Viewer('laplace_shifted_periodic.vtk')
view(rel_scaling=1,
domain_specific={'u' : DomainSpecificPlot('plot_warp_scalar',
['rel_scaling=1'])},
is_scalar_bar=True, is_wireframe=True,
opacity=0.3)
def main():
parser = OptionParser(usage=usage, version="%prog")
parser.add_option(
"-d", "--dims", metavar="dims", action="store", dest="dims", default="[1.0, 1.0]", help=helps["dims"]
)
parser.add_option(
"-c", "--centre", metavar="centre", action="store", dest="centre", default="[0.0, 0.0]", help=helps["centre"]
)
parser.add_option(
"-s", "--shape", metavar="shape", action="store", dest="shape", default="[11, 11]", help=helps["shape"]
)
parser.add_option("", "--show", action="store_true", dest="show", default=False, help=helps["show"])
(options, args) = parser.parse_args()
dims = nm.array(eval(options.dims), dtype=nm.float64)
centre = nm.array(eval(options.centre), dtype=nm.float64)
shape = nm.array(eval(options.shape), dtype=nm.int32)
output("dimensions:", dims)
output("centre: ", centre)
output("shape: ", shape)
mesh = gen_block_mesh(dims, shape, centre, name="block-fem")
fe_domain = FEDomain("domain", mesh)
pb, state = run(fe_domain, 1)
pb.save_state("laplace_shifted_periodic.vtk", state)
if options.show:
from sfepy.postprocess.viewer import Viewer
from sfepy.postprocess.domain_specific import DomainSpecificPlot
view = Viewer("laplace_shifted_periodic.vtk")
view(
rel_scaling=1,
domain_specific={"u": DomainSpecificPlot("plot_warp_scalar", ["rel_scaling=1"])},
is_scalar_bar=True,
is_wireframe=True,
opacity=0.3,
)
def main():
parser = ArgumentParser(description=__doc__)
parser.add_argument('--version', action='version', version='%(prog)s')
parser.add_argument('-o', metavar='filename',
action='store', dest='output_filename',
default='out.vtk', help=helps['filename'])
parser.add_argument('-f', '--format', metavar='format',
action='store', type=str, dest='format',
default=None, help=helps['format'])
parser.add_argument('-d', '--dims', metavar='dims',
action='store', dest='dims',
default='[1.0, 1.0, 1.0]', help=helps['dims'])
parser.add_argument('-s', '--shape', metavar='shape',
action='store', dest='shape',
default='[11, 11, 11]', help=helps['shape'])
parser.add_argument('-c', '--centre', metavar='centre',
action='store', dest='centre',
default='[0.0, 0.0, 0.0]', help=helps['centre'])
parser.add_argument('-2', '--2d',
action='store_true', dest='is_2d',
default=False, help=helps['2d'])
options = parser.parse_args()
dim = 2 if options.is_2d else 3
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.prefix = 'blockgen:'
output('dimensions:', dims)
output('shape:', shape)
output('centre:', centre)
mesh = gen_block_mesh(dims, shape, centre, name=options.output_filename)
io = MeshIO.for_format(options.output_filename, format=options.format,
writable=True)
mesh.write(options.output_filename, io=io)
def make_mesh(dims, shape, transform=None):
"""
Generate a 2D rectangle mesh in 3D space, and optionally apply a coordinate
transform.
"""
_mesh = gen_block_mesh(dims, shape, [0, 0], name='shell10x', verbose=False)
coors = nm.c_[_mesh.coors, nm.zeros(_mesh.n_nod, dtype=nm.float64)]
coors = nm.ascontiguousarray(coors)
conns = [_mesh.get_conn(_mesh.descs[0])]
mesh = Mesh.from_data(_mesh.name, coors, _mesh.cmesh.vertex_groups, conns,
[_mesh.cmesh.cell_groups], _mesh.descs)
if transform == 'bend':
bbox = mesh.get_bounding_box()
x0, x1 = bbox[:, 0]
angles = 0.5 * nm.pi * (coors[:, 0] - x0) / (x1 - x0)
mtx = make_axis_rotation_matrix([0, -1, 0], angles[:, None, None])
coors = mesh.coors.copy()
coors[:, 0] = 0
coors[:, 2] = (x1 - x0)
mesh.coors[:] = transform_data(coors, mtx=mtx)
mesh.coors[:, 0] -= 0.5 * (x1 - x0)
elif transform == 'twist':
bbox = mesh.get_bounding_box()
x0, x1 = bbox[:, 0]
angles = 0.5 * nm.pi * (coors[:, 0] - x0) / (x1 - x0)
mtx = make_axis_rotation_matrix([-1, 0, 0], angles[:, None, None])
mesh.coors[:] = transform_data(mesh.coors, mtx=mtx)
return mesh
def make_mesh(dims, shape, transform=None):
"""
Generate a 2D rectangle mesh in 3D space, and optionally apply a coordinate
transform.
"""
_mesh = gen_block_mesh(dims, shape, [0, 0], name='shell10x', verbose=False)
coors = nm.c_[_mesh.coors, nm.zeros(_mesh.n_nod, dtype=nm.float64)]
coors = nm.ascontiguousarray(coors)
conns = [_mesh.get_conn(_mesh.descs[0])]
mesh = Mesh.from_data(_mesh.name, coors, _mesh.cmesh.vertex_groups, conns,
[_mesh.cmesh.cell_groups], _mesh.descs)
if transform == 'bend':
bbox = mesh.get_bounding_box()
x0, x1 = bbox[:, 0]
angles = 0.5 * nm.pi * (coors[:, 0] - x0) / (x1 - x0)
mtx = make_axis_rotation_matrix([0, -1, 0], angles[:, None, None])
coors = mesh.coors.copy()
coors[:, 0] = 0
coors[:, 2] = (x1 - x0)
mesh.coors[:] = transform_data(coors, mtx=mtx)
mesh.coors[:, 0] -= 0.5 * (x1 - x0)
elif transform == 'twist':
bbox = mesh.get_bounding_box()
x0, x1 = bbox[:, 0]
angles = 0.5 * nm.pi * (coors[:, 0] - x0) / (x1 - x0)
mtx = make_axis_rotation_matrix([-1, 0, 0], angles[:, None, None])
mesh.coors[:] = transform_data(mesh.coors, mtx=mtx)
return mesh
def test_laplace_shifted_periodic(self):
import numpy as nm
from sfepy.mesh.mesh_generators import gen_block_mesh
from sfepy.discrete.fem import FEDomain
from examples.diffusion.laplace_shifted_periodic import run
dims = [2.0, 1.0]
shape = [21, 11]
centre = [0.0, 0.0]
mesh = gen_block_mesh(dims, shape, centre, name='block-fem')
fe_domain = FEDomain('domain', mesh)
pb, state = run(fe_domain, 3)
gamma3 = pb.domain.regions['Gamma3']
gamma4 = pb.domain.regions['Gamma4']
field = pb.fields['fu']
# Check that the shift equals to one.
i3 = field.get_dofs_in_region(gamma3, merge=True)
i4 = field.get_dofs_in_region(gamma4, merge=True)
i_corners = nm.array([0, shape[0] - 1])
ii = nm.setdiff1d(nm.arange(len(i3)), i_corners)
vals = state()
shift = vals[i3] - vals[i4]
ok = (shift[i_corners] == 0.0).all()
ok = ok and nm.allclose(shift[ii], 1.0, rtol=0.0, atol=1e-14)
if not ok:
self.report('wrong shift:', shift)
return ok
def get_fields(shape, delta_x):
"""Get the fields for the displacement and test function
Args:
shape: the shape of the domain
delta_x: the mesh spacing
Returns:
tuple of field variables
"""
return pipe(
np.array(shape),
lambda x: gen_block_mesh(
x * delta_x, x + 1, np.zeros_like(shape), verbose=False
),
lambda x: Domain("domain", x),
lambda x: x.create_region("region_all", "all"),
lambda x: Field.from_args("fu", np.float64, "vector", x, approx_order=2),
lambda x: (
FieldVariable("u", "unknown", x),
FieldVariable("v", "test", x, primary_var_name="u"),
),
)
def main():
parser = ArgumentParser(description=__doc__)
parser.add_argument('--version', action='version', version='%(prog)s')
parser.add_argument('-o',
metavar='filename',
action='store',
dest='output_filename',
default='out.vtk',
help=help['filename'])
parser.add_argument('-f',
'--format',
metavar='format',
action='store',
type=str,
dest='format',
default=None,
help=help['format'])
parser.add_argument('-d',
'--dims',
metavar='dims',
action='store',
dest='dims',
default='[1.0, 1.0, 1.0]',
help=help['dims'])
parser.add_argument('-s',
'--shape',
metavar='shape',
action='store',
dest='shape',
default='[11, 11, 11]',
help=help['shape'])
parser.add_argument('-c',
'--centre',
metavar='centre',
action='store',
dest='centre',
default='[0.0, 0.0, 0.0]',
help=help['centre'])
parser.add_argument('-2',
'--2d',
action='store_true',
dest='is_2d',
default=False,
help=help['2d'])
options = parser.parse_args()
dim = 2 if options.is_2d else 3
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.prefix = 'blockgen:'
output('dimensions:', dims)
output('shape:', shape)
output('centre:', centre)
mesh = gen_block_mesh(dims, shape, centre, name=options.output_filename)
io = MeshIO.for_format(options.output_filename,
format=options.format,
writable=True)
mesh.write(options.output_filename, io=io)
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('-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():
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],[0.0]])
#mu,lam=m.get_constants_mu_lam()
#print mu.lam
D = stiffness_from_lame(3,lam, mu)
mat = Material('Mat', D=D)
#D = stiffness_from_youngpoisson(2, options.young, options.poisson)
get_mat = Function('get_mat1',get_mat1)
#get_mat1=Function('get_mat', (lambda ts, coors, mode=None, problem=None, **kwargs:
# get_mat(coors, mode, problem)))
#mat = Material('Mat', function=Function('get_mat1',get_mat1))
#mat = Material('Mat', 'get_mat')
integral = Integral('i', order=3)
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)
eq = Equation('balance', t1 + t2)
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,top_bc]
#bc=[bottom_bc,top_bc]
bc_fun = Function('shift_u_fun', shift_u_fun, extra_args={'shift' : 0.01})
shift_u = EssentialBC('shift_u', gamma2, {'u.0' : bc_fun})
#get_mat = Function('get_mat1',get_mat1)
#mat = Material('Mat', function=Function('get_mat1',get_mat1))
#ls = ScipyDirect({'method':'umfpack'})
##############################
# ##### SOLVER SECTION #####
##############################
# GET MATRIX FOR PRECONTITIONER #
#ls = ScipyIterative({'method':'bicgstab','i_max':5000,'eps_r':1e-10})
#ls = ScipyIterative({})
#ls = PyAMGSolver({'i_max':5000,'eps_r':1e-10})
#conf = Struct(method='cg', precond='gamg', sub_precond=None,i_max=10000, eps_a=1e-50, eps_r=1e-5, eps_d=1e4, verbose=True)
#ls = PETScKrylovSolver({'method' : 'cg', 'precond' : 'icc', 'eps_r' : 1e-10, 'i_max' : 5000})
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)
#conf = Struct(method = 'cg', precond = 'icc', eps_r = 1e-10, i_max = 5000)
ls = PETScKrylovSolver(conf)
#if hasattr(ls.name,'ls.scipy_iterative'):
file.write(str(ls.name)+' '+str(ls.conf.method)+' '+str(ls.conf.precond)+' '+str(ls.conf.eps_r)+' '+str(ls.conf.i_max)+'\n' )
# else:
#file.write(str(ls.name)+' '+str(ls.conf.method)+'\n')
# conf = Struct(method='bcgsl', precond='jacobi', sub_precond=None,
# i_max=10000, eps_a=1e-50, eps_r=1e-8, eps_d=1e4,
# verbose=True)
#ls = PETScKrylovSolver(conf)
#ls = ScipyIterative({'method':'bicgstab','i_max':100,'eps_r':1e-10})
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)
pb.save_regions_as_groups('regions')
#pb.time_update(ebcs=Conditions([fix_u, shift_u]))
pb.time_update(ebcs=Conditions(bc))
pb.save_regions_as_groups('regions')
#ls = ScipyIterative({'method':'bicgstab','i_max':100,'eps_r':1e-10})
# A = pb.mtx_a
# M = spilu(A,fill_factor = 1)
#conf = Struct(solvers ='ScipyIterative',method='bcgsl', sub_precond=None,
# i_max=1000, eps_r=1e-8)
#pb.set_conf_solvers(conf)
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')
#out = post_process(out, pb, state, extend=False)
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)
# Postprocess the solution.
#out = vec.create_output_dict()
#out = stress_strain(out, pb, vec,lam,mu, extend=True)
#pb.save_state('its2D_interactive.vtk', out=out)
#print 'aqui estoy'
pb.save_state('strain.vtk', out=out)
#pb.save_state('disp.vtk', out=vec)
#print 'ahora estoy aqui'
#out = stress_strain(out, pb, vec, extend=True)
#pb.save_state('out.vtk', out=out)
print nls_status
order = 3
strain_qp = ev('ev_cauchy_strain.%d.Omega(u)' % order, mode='qp')
stress_qp = ev('ev_cauchy_stress.%d.Omega(Mat.D, u)' % order,
mode='qp', copy_materials=False)
file.close()
options_probe=False
if options_probe:
# Probe the solution.
probes, labels = gen_lines(pb)
nls_options = {'eps_a':1e-8,'i_max':1}
ls = ScipyDirect({})
ls2 = ScipyIterative({'method':'bicgstab','i_max':5000,'eps_r':1e-20})
order = 5
sfield = Field.from_args('sym_tensor', nm.float64, (3,), omega,
approx_order=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=order-1)
component = FieldVariable('component', 'parameter', cfield,
primary_var_name='(set-to-None)')
ev = pb.evaluate
order = 2*(order - 1) #2 * (2- 1)
print "before strain_qp"
strain_qp = ev('ev_cauchy_strain.%d.Omega(u)' % order, mode='qp')
stress_qp = ev('ev_cauchy_stress.%d.Omega(Mat.D, u)' % order,
mode='qp', copy_materials=False)
print "before projections"
print stress
project_by_component(strain, strain_qp, component, order,ls2,nls_options)
#print 'strain done'
project_by_component(stress, stress_qp, component, order,ls2,nls_options)
print "after projections"
all_results = []
for ii, probe in enumerate(probes):
fig, results = probe_results2(u, strain, stress, probe, labels[ii])
fig.savefig('test_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
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():
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='11,11,11', 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('-2', '--2d',
action='store_true', dest='is_2d',
default=False, help=helps['2d'])
parser.add_argument('--order', metavar='int', type=int,
action='store', dest='order',
default=1, help=helps['order'])
parser.add_argument('--linearization', choices=['strip', 'adaptive'],
action='store', dest='linearization',
default='strip', help=helps['linearization'])
parser.add_argument('--metis',
action='store_true', dest='metis',
default=False, help=helps['metis'])
parser.add_argument('--verify',
action='store_true', dest='verify',
default=False, help=helps['verify'])
parser.add_argument('--plot',
action='store_true', dest='plot',
default=False, help=helps['plot'])
parser.add_argument('--show',
action='store_true', dest='show',
default=False, help=helps['show'])
parser.add_argument('--save-inter-regions',
action='store_true', dest='save_inter_regions',
default=False, help=helps['save_inter_regions'])
parser.add_argument('--silent',
action='store_true', dest='silent',
default=False, help=helps['silent'])
parser.add_argument('--clear',
action='store_true', dest='clear',
default=False, help=helps['clear'])
options, petsc_opts = parser.parse_known_args()
if options.show:
options.plot = True
comm = pl.PETSc.COMM_WORLD
output_dir = options.output_dir
filename = os.path.join(output_dir, 'output_log_%02d.txt' % comm.rank)
if comm.rank == 0:
ensure_path(filename)
comm.barrier()
output.prefix = 'sfepy_%02d:' % comm.rank
output.set_output(filename=filename, combined=options.silent == False)
output('petsc options:', petsc_opts)
mesh_filename = os.path.join(options.output_dir, 'para.h5')
if comm.rank == 0:
from sfepy.mesh.mesh_generators import gen_block_mesh
if options.clear:
remove_files_patterns(output_dir,
['*.h5', '*.mesh', '*.txt', '*.png'],
ignores=['output_log_%02d.txt' % ii
for ii in range(comm.size)],
verbose=True)
save_options(os.path.join(output_dir, 'options.txt'),
[('options', vars(options))])
dim = 2 if options.is_2d else 3
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)
mesh = gen_block_mesh(dims, shape, centre, name='block-fem',
verbose=True)
mesh.write(mesh_filename, io='auto')
comm.barrier()
output('field order:', options.order)
solve_problem(mesh_filename, options, comm)
from sfepy.discrete import (FieldVariable, Material, Integral, Function,
Equation, Equations, Problem)
from sfepy.discrete.fem import Mesh, FEDomain, Field
from sfepy.terms import Term
from sfepy.discrete.conditions import Conditions, EssentialBC
from sfepy.solvers.ls import ScipyDirect
from sfepy.solvers.nls import Newton
from sfepy.postprocess.viewer import Viewer
import matplotlib.pyplot as plt
print "inside main"
from sfepy import data_dir
#mesh = Mesh.from_file(data_dir + '/meshes/2d/rectangle_tri.mesh')
mesh = gen_block_mesh([2], [100, 100], [0, 0], coors=[-2, 2])
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')
gammaL = domain.create_region('Gamma_Left',
'vertices in x < %.9f' % (min_x + eps), 'facet')
gammaR = domain.create_region('Gamma_Right',
'vertices in x > %.9f' % (max_x - eps), 'facet')
min_y, max_y = domain.get_mesh_bounding_box()[:, 1]
eps = 1e-8 * (max_y - min_y)
gammaT = domain.create_region('Gamma_Top',
'vertices in y < %.9f' % (min_y + eps), 'facet')
gammaB = domain.create_region('Gamma_Bottom',
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))
def test_continuity(self):
from sfepy.base.base import Struct
from sfepy.mesh.mesh_generators import gen_block_mesh
from sfepy.discrete import FieldVariable
from sfepy.discrete.fem import FEDomain, Field
from sfepy.discrete.projections import make_l2_projection_data
import sfepy.discrete.fem.refine_hanging as rh
dims = [1.5, 2.0, 1.3]
shape = [3, 3, 3]
centre = [0.0, 0.0, 0.0]
probe_gens = {'2_4': _gen_lines_2_4, '3_8': _gen_grid_3_8}
ok = True
for key in self.gel_names:
gel = self.gels[key]
probe_gen = probe_gens[key]
perms = gel.get_conn_permutations()
dim = gel.dim
for io, order in enumerate(range(1, 4)):
mesh00 = gen_block_mesh(dims[:dim],
shape[:dim],
centre[:dim],
name='block')
for ip, perm in enumerate(perms):
self.report(
'geometry: %s, order: %d, permutation: %d: %s' %
(key, order, ip, perm))
mesh0 = mesh00.copy()
conn = mesh0.cmesh.get_conn(dim, 0).indices
conn = conn.reshape((mesh0.n_el, -1))
conn[-1, :] = conn[-1, perm]
domain0 = FEDomain('d', mesh0)
refine = nm.zeros(mesh0.n_el, dtype=nm.uint8)
refine[:-1] = 1
subs = None
domain, subs = rh.refine(domain0, refine, subs=subs)
omega = domain.create_region('Omega', 'all')
field = Field.from_args('fu',
nm.float64,
1,
omega,
approx_order=order)
field.substitute_dofs(subs)
uvar = FieldVariable('u',
'parameter',
field,
primary_var_name='(set-to-None)')
field.restore_dofs(store=True)
field.substitute_dofs(subs=None, restore=True)
make_l2_projection_data(uvar, eval_fun)
field.restore_dofs()
bbox = domain.get_mesh_bounding_box()
eps = 1e-7
save = False
for ii, (probe0, probe1) in enumerate(probe_gen(bbox,
eps)):
probe0.set_options(close_limit=0.0)
probe1.set_options(close_limit=0.0)
pars0, vals0 = probe0(uvar)
pars1, vals1 = probe1(uvar)
assert_(nm.allclose(pars0, pars1, atol=1e-14,
rtol=0.0))
_ok = nm.allclose(vals0,
vals1,
atol=20.0 * eps,
rtol=0.0)
if not _ok:
save = True
self.report('probe %d failed! (max. error: %e)' %
(ii, nm.abs(vals0 - vals1).max()))
ok = ok and _ok
if (ip == 0) or save:
out = uvar.create_output()
filenames = _build_filenames(self.options.out_dir, key,
order, ip)
domain.mesh.write(filenames[0], out=out)
linearization = Struct(kind='adaptive',
min_level=0,
max_level=4,
eps=1e-2)
out = uvar.create_output(linearization=linearization)
val = out['u']
mesh = val.get('mesh', domain.mesh)
mesh.write(filenames[1], out=out)
return ok
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="11,11,11", 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("-2", "--2d", action="store_true", dest="is_2d", default=False, help=helps["2d"])
parser.add_argument(
"--u-order", metavar="int", type=int, action="store", dest="order_u", default=1, help=helps["u-order"]
)
parser.add_argument(
"--p-order", metavar="int", type=int, action="store", dest="order_p", default=1, help=helps["p-order"]
)
parser.add_argument(
"--linearization",
choices=["strip", "adaptive"],
action="store",
dest="linearization",
default="strip",
help=helps["linearization"],
)
parser.add_argument("--metis", action="store_true", dest="metis", default=False, help=helps["metis"])
parser.add_argument("--silent", action="store_true", dest="silent", default=False, help=helps["silent"])
parser.add_argument("--clear", action="store_true", dest="clear", default=False, help=helps["clear"])
options, petsc_opts = parser.parse_known_args()
comm = pl.PETSc.COMM_WORLD
output_dir = options.output_dir
filename = os.path.join(output_dir, "output_log_%02d.txt" % comm.rank)
if comm.rank == 0:
ensure_path(filename)
comm.barrier()
output.prefix = "sfepy_%02d:" % comm.rank
output.set_output(filename=filename, combined=options.silent == False)
output("petsc options:", petsc_opts)
mesh_filename = os.path.join(options.output_dir, "para.h5")
if comm.rank == 0:
from sfepy.mesh.mesh_generators import gen_block_mesh
if options.clear:
for _f in chain(
*[glob.glob(os.path.join(output_dir, clean_pattern)) for clean_pattern in ["*.h5", "*.txt", "*.png"]]
):
output('removing "%s"' % _f)
os.remove(_f)
dim = 2 if options.is_2d else 3
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)
mesh = gen_block_mesh(dims, shape, centre, name="block-fem", verbose=True)
mesh.write(mesh_filename, io="auto")
comm.barrier()
output("field u order:", options.order_u)
output("field p order:", options.order_p)
solve_problem(mesh_filename, options, comm)
def main():
parser = OptionParser(usage=usage, version='%prog')
parser.add_option('-d',
'--dims',
metavar='dims',
action='store',
dest='dims',
default='[1.0, 1.0]',
help=helps['dims'])
parser.add_option('-c',
'--centre',
metavar='centre',
action='store',
dest='centre',
default='[0.0, 0.0]',
help=helps['centre'])
parser.add_option('-s',
'--shape',
metavar='shape',
action='store',
dest='shape',
default='[11, 11]',
help=helps['shape'])
parser.add_option('-b',
'--bc-kind',
metavar='kind',
action='store',
dest='bc_kind',
choices=['free', 'clamped'],
default='free',
help=helps['bc_kind'])
parser.add_option('--young',
metavar='float',
type=float,
action='store',
dest='young',
default=6.80e+10,
help=helps['young'])
parser.add_option('--poisson',
metavar='float',
type=float,
action='store',
dest='poisson',
default=0.36,
help=helps['poisson'])
parser.add_option('--density',
metavar='float',
type=float,
action='store',
dest='density',
default=2700.0,
help=helps['density'])
parser.add_option('--order',
metavar='int',
type=int,
action='store',
dest='order',
default=1,
help=helps['order'])
parser.add_option('-n',
'--n-eigs',
metavar='int',
type=int,
action='store',
dest='n_eigs',
default=6,
help=helps['order'])
parser.add_option('',
'--show',
action="store_true",
dest='show',
default=False,
help=helps['show'])
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!')
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)
output('using values:')
output(" Young's modulus:", options.young)
output(" Poisson's ratio:", options.poisson)
output(' density:', options.density)
# Build the problem definition.
mesh = gen_block_mesh(dims, shape, centre, name='mesh')
domain = FEDomain('domain', mesh)
bbox = domain.get_mesh_bounding_box()
min_y, max_y = bbox[:, 1]
eps = 1e-8 * (max_y - min_y)
omega = domain.create_region('Omega', 'all')
bottom = domain.create_region('Bottom',
'vertices in (y < %.10f)' % (min_y + 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
else:
fixed_b = EssentialBC('FixedB', bottom, {'u.all': 0.0})
pb.time_update(ebcs=Conditions([fixed_b]))
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 = sla.eigsh(mtx_k,
k=options.n_eigs + n_rbm,
M=mtx_m,
which='SM',
tol=1e-5,
maxiter=10000)
except sla.ArpackNoConvergence as ee:
eigs = ee.eigenvalues
svecs = ee.eigenvectors
output('only %d eigenvalues converged!' % len(eigs))
eigs = eigs[n_rbm:]
svecs = svecs[:, n_rbm:]
output('eigenvalues:', eigs)
output('eigen-frequencies:', nm.sqrt(eigs))
# 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 xrange(svecs.shape[1]):
vecs[:, ii] = variables.make_full_vec(svecs[:, ii])
# Save the eigenvectors.
out = {}
state = pb.create_state()
for ii in xrange(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 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 xrange(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__.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='11,11,11',
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('-2',
'--2d',
action='store_true',
dest='is_2d',
default=False,
help=helps['2d'])
parser.add_argument('--u-order',
metavar='int',
type=int,
action='store',
dest='order_u',
default=1,
help=helps['u-order'])
parser.add_argument('--p-order',
metavar='int',
type=int,
action='store',
dest='order_p',
default=1,
help=helps['p-order'])
parser.add_argument('--linearization',
choices=['strip', 'adaptive'],
action='store',
dest='linearization',
default='strip',
help=helps['linearization'])
parser.add_argument('--metis',
action='store_true',
dest='metis',
default=False,
help=helps['metis'])
parser.add_argument('--silent',
action='store_true',
dest='silent',
default=False,
help=helps['silent'])
parser.add_argument('--clear',
action='store_true',
dest='clear',
default=False,
help=helps['clear'])
options, petsc_opts = parser.parse_known_args()
comm = pl.PETSc.COMM_WORLD
output_dir = options.output_dir
filename = os.path.join(output_dir, 'output_log_%02d.txt' % comm.rank)
if comm.rank == 0:
ensure_path(filename)
comm.barrier()
output.prefix = 'sfepy_%02d:' % comm.rank
output.set_output(filename=filename, combined=options.silent == False)
output('petsc options:', petsc_opts)
mesh_filename = os.path.join(options.output_dir, 'para.h5')
if comm.rank == 0:
from sfepy.mesh.mesh_generators import gen_block_mesh
if options.clear:
for _f in chain(*[
glob.glob(os.path.join(output_dir, clean_pattern))
for clean_pattern in ['*.h5', '*.txt', '*.png']
]):
output('removing "%s"' % _f)
os.remove(_f)
dim = 2 if options.is_2d else 3
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)
mesh = gen_block_mesh(dims,
shape,
centre,
name='block-fem',
verbose=True)
mesh.write(mesh_filename, io='auto')
comm.barrier()
output('field u order:', options.order_u)
output('field p order:', options.order_p)
solve_problem(mesh_filename, options, comm)
def test_continuity(self):
from sfepy.base.base import Struct
from sfepy.mesh.mesh_generators import gen_block_mesh
from sfepy.discrete import FieldVariable
from sfepy.discrete.fem import FEDomain, Field
from sfepy.discrete.projections import make_l2_projection_data
import sfepy.discrete.fem.refine_hanging as rh
dims = [1.5, 2.0, 1.3]
shape = [3, 3, 3]
centre = [0.0, 0.0, 0.0]
probe_gens = {"2_4": _gen_lines_2_4, "3_8": _gen_grid_3_8}
ok = True
for key in self.gel_names:
gel = self.gels[key]
probe_gen = probe_gens[key]
perms = gel.get_conn_permutations()
dim = gel.dim
for io, order in enumerate(range(1, 4)):
mesh00 = gen_block_mesh(dims[:dim], shape[:dim], centre[:dim], name="block")
for ip, perm in enumerate(perms):
self.report("geometry: %s, order: %d, permutation: %d: %s" % (key, order, ip, perm))
mesh0 = mesh00.copy()
conn = mesh0.cmesh.get_conn(dim, 0).indices
conn = conn.reshape((mesh0.n_el, -1))
conn[-1, :] = conn[-1, perm]
domain0 = FEDomain("d", mesh0)
refine = nm.zeros(mesh0.n_el, dtype=nm.uint8)
refine[:-1] = 1
subs = None
domain, subs = rh.refine(domain0, refine, subs=subs)
omega = domain.create_region("Omega", "all")
field = Field.from_args("fu", nm.float64, 1, omega, approx_order=order)
field.substitute_dofs(subs)
uvar = FieldVariable("u", "parameter", field, primary_var_name="(set-to-None)")
field.restore_dofs(store=True)
field.substitute_dofs(subs=None, restore=True)
make_l2_projection_data(uvar, eval_fun)
field.restore_dofs()
bbox = domain.get_mesh_bounding_box()
eps = 1e-7
save = False
for ii, (probe0, probe1) in enumerate(probe_gen(bbox, eps)):
probe0.set_options(close_limit=0.0)
probe1.set_options(close_limit=0.0)
pars0, vals0 = probe0(uvar)
pars1, vals1 = probe1(uvar)
assert_(nm.allclose(pars0, pars1, atol=1e-14, rtol=0.0))
_ok = nm.allclose(vals0, vals1, atol=20.0 * eps, rtol=0.0)
if not _ok:
save = True
self.report("probe %d failed! (max. error: %e)" % (ii, nm.abs(vals0 - vals1).max()))
ok = ok and _ok
if (ip == 0) or save:
out = uvar.create_output()
filenames = _build_filenames(self.options.out_dir, key, order, ip)
domain.mesh.write(filenames[0], out=out)
linearization = Struct(kind="adaptive", min_level=0, max_level=4, eps=1e-2)
out = uvar.create_output(linearization=linearization)
val = out["u"]
mesh = val.get("mesh", domain.mesh)
mesh.write(filenames[1], out=out)
return ok
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__.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='11,11,11', 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('-2', '--2d',
action='store_true', dest='is_2d',
default=False, help=helps['2d'])
parser.add_argument('--u-order', metavar='int', type=int,
action='store', dest='order_u',
default=1, help=helps['u-order'])
parser.add_argument('--p-order', metavar='int', type=int,
action='store', dest='order_p',
default=1, help=helps['p-order'])
parser.add_argument('--linearization', choices=['strip', 'adaptive'],
action='store', dest='linearization',
default='strip', help=helps['linearization'])
parser.add_argument('--metis',
action='store_true', dest='metis',
default=False, help=helps['metis'])
parser.add_argument('--silent',
action='store_true', dest='silent',
default=False, help=helps['silent'])
parser.add_argument('--clear',
action='store_true', dest='clear',
default=False, help=helps['clear'])
options, petsc_opts = parser.parse_known_args()
comm = pl.PETSc.COMM_WORLD
output_dir = options.output_dir
filename = os.path.join(output_dir, 'output_log_%02d.txt' % comm.rank)
if comm.rank == 0:
ensure_path(filename)
comm.barrier()
output.prefix = 'sfepy_%02d:' % comm.rank
output.set_output(filename=filename, combined=options.silent == False)
output('petsc options:', petsc_opts)
mesh_filename = os.path.join(options.output_dir, 'para.h5')
if comm.rank == 0:
from sfepy.mesh.mesh_generators import gen_block_mesh
if options.clear:
for _f in chain(*[glob.glob(os.path.join(output_dir, clean_pattern))
for clean_pattern
in ['*.h5', '*.txt', '*.png']]):
output('removing "%s"' % _f)
os.remove(_f)
dim = 2 if options.is_2d else 3
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)
mesh = gen_block_mesh(dims, shape, centre, name='block-fem',
verbose=True)
mesh.write(mesh_filename, io='auto')
comm.barrier()
output('field u order:', options.order_u)
output('field p order:', options.order_p)
solve_problem(mesh_filename, options, comm)
import scipy
aux = "eig.scipy,method:'eigh',tol:1e-7,maxiter:10000".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)
dims = nm.array([1.0, 1.5], dtype=nm.float64)
dim = len(dims)
centre = nm.array([0.0, 0.0], dtype=nm.float64)[:dim]
shape = nm.array([11, 16], dtype=nm.int32)[:dim]
mesh = gen_block_mesh(dims, shape, centre, name='mesh')
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[:, -1]
eps = 1e-8 * (max_coor - min_coor)
ax = 'xyz'[:dim][-1]
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')
def prepare_dgfield_1D(approx_order):
mesh = gen_block_mesh((1,), (4,), (.5,))
return prepare_dgfield(approx_order, mesh), mesh
def test_preserve_coarse_entities(self):
from sfepy.mesh.mesh_generators import gen_block_mesh
from sfepy.discrete.fem import FEDomain
import sfepy.discrete.fem.refine_hanging as rh
dims = [1.5, 2.0]
shape = [11, 11]
centre = [0.0, 0.0]
mesh0 = gen_block_mesh(dims, shape, centre, name='block')
domain0 = FEDomain('d', mesh0)
reg = domain0.create_region('surface',
'vertices of surface',
'facet',
add_to_regions=False)
cmesh0 = mesh0.cmesh
cmesh0.vertex_groups[5::11] = 2
cmesh0.vertex_groups[reg.vertices] = 1
cmesh0.cell_groups[0] = 1
cmesh0.cell_groups[50:60] = 2
mesh0.write(op.join(self.options.out_dir,
'test_refine_hanging_ids0.vtk'),
io='auto')
refine = nm.zeros(mesh0.n_el, dtype=nm.uint8)
refine[0:10] = 1
refine[5::10] = 1
domain, _, sub_cells = rh.refine(domain0,
refine,
subs=None,
ret_sub_cells=True)
domain.mesh.write(op.join(self.options.out_dir,
'test_refine_hanging_ids1.vtk'),
io='auto')
cmesh1 = domain.mesh.cmesh
ii = nm.where(refine == 0)[0]
conn0 = mesh0.get_conn('2_4')
v0 = conn0[ii]
conn1 = domain.mesh.get_conn('2_4')
v1 = conn1[ii]
ok = (v0 == v1).all()
self.report('coarse cells positions preserved:', ok)
cgs0 = cmesh0.cell_groups[ii]
cgs1 = cmesh1.cell_groups[ii]
_ok = (cgs0 == cgs1).all()
self.report('coarse cells cell groups preserved:', _ok)
ok = ok and _ok
vgs0 = cmesh0.vertex_groups[v0]
vgs1 = cmesh1.vertex_groups[v1]
_ok = (vgs0 == vgs1).all()
self.report('coarse cells vertex groups preserved:', _ok)
ok = ok and _ok
ii = nm.where(refine == 1)[0]
cgs0 = cmesh0.cell_groups[ii]
cgs1 = cmesh1.cell_groups[sub_cells[:, 1:]]
_ok = (cgs0[:, None] == cgs1).all()
self.report('refined cells cell groups preserved:', _ok)
ok = ok and _ok
return ok
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='11,11,11', 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('-2', '--2d',
action='store_true', dest='is_2d',
default=False, help=helps['2d'])
parser.add_argument('--u-order', metavar='int', type=int,
action='store', dest='order_u',
default=1, help=helps['u-order'])
parser.add_argument('--p-order', metavar='int', type=int,
action='store', dest='order_p',
default=1, help=helps['p-order'])
parser.add_argument('--linearization', choices=['strip', 'adaptive'],
action='store', dest='linearization',
default='strip', help=helps['linearization'])
parser.add_argument('--metis',
action='store_true', dest='metis',
default=False, help=helps['metis'])
parser.add_argument('--save-inter-regions',
action='store_true', dest='save_inter_regions',
default=False, help=helps['save_inter_regions'])
parser.add_argument('--stats', metavar='filename',
action='store', dest='stats_filename',
default=None, help=helps['stats_filename'])
parser.add_argument('--new-stats',
action='store_true', dest='new_stats',
default=False, help=helps['new_stats'])
parser.add_argument('--silent',
action='store_true', dest='silent',
default=False, help=helps['silent'])
parser.add_argument('--clear',
action='store_true', dest='clear',
default=False, help=helps['clear'])
options, petsc_opts = parser.parse_known_args()
comm = pl.PETSc.COMM_WORLD
output_dir = options.output_dir
filename = os.path.join(output_dir, 'output_log_%02d.txt' % comm.rank)
if comm.rank == 0:
ensure_path(filename)
comm.barrier()
output.prefix = 'sfepy_%02d:' % comm.rank
output.set_output(filename=filename, combined=options.silent == False)
output('petsc options:', petsc_opts)
mesh_filename = os.path.join(options.output_dir, 'para.h5')
dim = 2 if options.is_2d else 3
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)
if comm.rank == 0:
from sfepy.mesh.mesh_generators import gen_block_mesh
if options.clear:
remove_files_patterns(output_dir,
['*.h5', '*.mesh', '*.txt'],
ignores=['output_log_%02d.txt' % ii
for ii in range(comm.size)],
verbose=True)
save_options(os.path.join(output_dir, 'options.txt'),
[('options', vars(options))])
mesh = gen_block_mesh(dims, shape, centre, name='block-fem',
verbose=True)
mesh.write(mesh_filename, io='auto')
comm.barrier()
output('field u order:', options.order_u)
output('field p order:', options.order_p)
stats = solve_problem(mesh_filename, options, comm)
output(stats)
if options.stats_filename:
from examples.diffusion.poisson_parallel_interactive import save_stats
if comm.rank == 0:
ensure_path(options.stats_filename)
comm.barrier()
pars = Struct(dim=dim, shape=shape, order=options.order_u)
pl.call_in_rank_order(
lambda rank, comm:
save_stats(options.stats_filename, pars, stats, options.new_stats,
rank, comm),
comm
)
def prepare_field_2D(approx_order):
mesh = gen_block_mesh((1, 1), (4, 4), (.5, .5))
return prepare_dgfield(approx_order, mesh), mesh
def test_get_facet_idx1D(self):
mesh = gen_block_mesh((1,), (4,), (.5,))
field, regions = prepare_dgfield(1, mesh)
assert nm.all(field.get_bc_facet_idx(regions["left"]) == nm.array([[0, 0]]))
assert nm.all(field.get_bc_facet_idx(regions["right"]) == nm.array([[2, 1]]))
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 test_get_facet_idx2D(self):
mesh = gen_block_mesh((1, 1), (4, 4), (.5, .5))
field, regions = prepare_dgfield(1, mesh)
assert nm.all(field.get_bc_facet_idx(regions["left"]) == nm.array([[0, 3], [1, 3], [2, 3]]))
assert nm.all(field.get_bc_facet_idx(regions["top"]) == nm.array([[2, 2], [5, 2], [8, 2]]))
def test_preserve_coarse_entities(self):
from sfepy.mesh.mesh_generators import gen_block_mesh
from sfepy.discrete.fem import FEDomain
import sfepy.discrete.fem.refine_hanging as rh
dims = [1.5, 2.0]
shape = [11, 11]
centre = [0.0, 0.0]
mesh0 = gen_block_mesh(dims, shape, centre, name="block")
domain0 = FEDomain("d", mesh0)
reg = domain0.create_region("surface", "vertices of surface", "facet", add_to_regions=False)
cmesh0 = mesh0.cmesh
cmesh0.vertex_groups[5::11] = 2
cmesh0.vertex_groups[reg.vertices] = 1
cmesh0.cell_groups[0] = 1
cmesh0.cell_groups[50:60] = 2
mesh0.write(op.join(self.options.out_dir, "test_refine_hanging_ids0.vtk"), io="auto")
refine = nm.zeros(mesh0.n_el, dtype=nm.uint8)
refine[0:10] = 1
refine[5::10] = 1
domain, _, sub_cells = rh.refine(domain0, refine, subs=None, ret_sub_cells=True)
domain.mesh.write(op.join(self.options.out_dir, "test_refine_hanging_ids1.vtk"), io="auto")
cmesh1 = domain.mesh.cmesh
ii = nm.where(refine == 0)[0]
conn0 = mesh0.get_conn("2_4")
v0 = conn0[ii]
conn1 = domain.mesh.get_conn("2_4")
v1 = conn1[ii]
ok = (v0 == v1).all()
self.report("coarse cells positions preserved:", ok)
cgs0 = cmesh0.cell_groups[ii]
cgs1 = cmesh1.cell_groups[ii]
_ok = (cgs0 == cgs1).all()
self.report("coarse cells cell groups preserved:", _ok)
ok = ok and _ok
vgs0 = cmesh0.vertex_groups[v0]
vgs1 = cmesh1.vertex_groups[v1]
_ok = (vgs0 == vgs1).all()
self.report("coarse cells vertex groups preserved:", _ok)
ok = ok and _ok
ii = nm.where(refine == 1)[0]
cgs0 = cmesh0.cell_groups[ii]
cgs1 = cmesh1.cell_groups[sub_cells[:, 1:]]
_ok = (cgs0[:, None] == cgs1).all()
self.report("refined cells cell groups preserved:", _ok)
ok = ok and _ok
return ok
