def test_mono_equals_multi(self):
"""
test that the mono_dimensional elliptic solver gives the same answer as
the grid bucket elliptic
"""
g = CartGrid([10, 10])
g.compute_geometry()
gb = meshing.cart_grid([], [10, 10])
param_g = Parameters(g)
def bc_val(g):
left = g.face_centers[0] < 1e-6
right = g.face_centers[0] > 10 - 1e-6
bc_val = np.zeros(g.num_faces)
bc_val[left] = -1
bc_val[right] = 1
return bc_val
def bc_labels(g):
bound_faces = g.tags['domain_boundary_faces'].nonzero()[0]
bound_face_centers = g.face_centers[:, bound_faces]
left = bound_face_centers[0] < 1e-6
right = bound_face_centers[0] > 10 - 1e-6
labels = np.array(['neu'] * bound_faces.size)
labels[np.logical_or(right, left)] = 'dir'
bc_labels = bc.BoundaryCondition(g, bound_faces, labels)
return bc_labels
param_g.set_bc_val('flow', bc_val(g))
param_g.set_bc('flow', bc_labels(g))
gb.add_node_props(['param'])
for sub_g, d in gb:
d['param'] = Parameters(sub_g)
d['param'].set_bc_val('flow', bc_val(g))
d['param'].set_bc('flow', bc_labels(sub_g))
problem_mono = elliptic.EllipticModel(g, {'param': param_g})
problem_mult = elliptic.EllipticModel(gb)
p_mono = problem_mono.solve()
p_mult = problem_mult.solve()
assert np.allclose(p_mono, p_mult)
def test_upwind_2d_beta_positive(self):
f = np.array([[2, 2],
[0, 2]])
gb = meshing.cart_grid([f], [4, 2])
gb.assign_node_ordering()
gb.compute_geometry()
solver = upwind.UpwindMixedDim('transport')
gb.add_node_props(['param'])
for g, d in gb:
param = Parameters(g)
aperture = np.ones(g.num_cells)*np.power(1e-2, gb.dim_max() - g.dim)
param.set_aperture(aperture)
d['discharge'] = solver.discr.discharge(g, [2, 0, 0], aperture)
bf = g.get_boundary_faces()
bc = BoundaryCondition(g, bf, bf.size * ['neu'])
param.set_bc('transport', bc)
d['param'] = param
# Assign coupling discharge
gb.add_edge_prop('param')
for e, d in gb.edges_props():
g_h = gb.sorted_nodes_of_edge(e)[1]
discharge = gb.node_prop(g_h,'discharge')
d['param'] = Parameters(g_h)
d['discharge'] = discharge
M = solver.matrix_rhs(gb)[0].todense()
M_known = np.array([[ 2, 0, 0, 0, 0, 0, 0, 0, 0, 0.],
[-2, 2, 0, 0, 0, 0, 0, 0, 0, 0.],
[ 0, 0, 2, 0, 0, 0, 0, 0, 0, -2.],
[ 0, 0, -2, 0, 0, 0, 0, 0, 0, 0.],
[ 0, 0, 0, 0, 2, 0, 0, 0, 0, 0.],
[ 0, 0, 0, 0, -2, 2, 0, 0, 0, 0.],
[ 0, 0, 0, 0, 0, 0, 2, 0, -2, 0.],
[ 0, 0, 0, 0, 0, 0, -2, 0, 0, 0.],
[ 0, 0, 0, 0, 0, -2, 0, 0, 2, 0.],
[ 0, -2, 0, 0, 0, 0, 0, 0, 0, 2.]])
rtol = 1e-15
atol = rtol
assert np.allclose(M, M_known, rtol, atol)
def test_mortar_grid_1d_equally_refine_mortar_grids(self):
f1 = np.array([[0, 1], [.5, .5]])
gb = meshing.cart_grid([f1], [2, 2], **{"physdims": [1, 1]})
gb.compute_geometry()
gb.assign_node_ordering()
for e, d in gb.edges():
mg = d["mortar_grid"]
new_side_grids = {
s: refinement.remesh_1d(g, num_nodes=4)
for s, g in mg.side_grids.items()
}
mortars.update_mortar_grid(mg, new_side_grids, 1e-4)
high_to_mortar_known = (
1.
/ 3.
* np.matrix(
[
[0., 0., 0., 0., 0., 0., 0., 0., 2., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0., 0., 0., 1., 1., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0., 0., 0., 0., 2., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 2., 0.],
[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 1.],
[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 2.],
]
)
)
low_to_mortar_known = (
1.
/ 3.
* np.matrix(
[[0., 2.], [1., 1.], [2., 0.], [0., 2.], [1., 1.], [2., 0.]]
)
)
self.assertTrue(
np.allclose(high_to_mortar_known, mg.high_to_mortar_int.todense())
)
self.assertTrue(
np.allclose(low_to_mortar_known, mg.low_to_mortar_int.todense())
)
def test_zero_force(self):
"""
if nothing is touched nothing should happen
"""
f = np.array([[0, 0, 1], [0, 1, 1], [1, 1, 1], [1, 0, 1]]).T
g = meshing.cart_grid([f], [4, 4, 2]).grids_of_dimension(3)[0]
data = {"param": Parameters(g)}
bound = bc.BoundaryConditionVectorial(g, g.get_all_boundary_faces(),
"dir")
data["param"].set_bc("mechanics", bound)
solver = StaticModel(g, data)
d = solver.solve()
solver.traction("T")
self.assertTrue(np.all(d == 0))
self.assertTrue(np.all(data["T"] == 0))
def test_src_2d(self):
"""
test that the mono_dimensional elliptic solver gives the same answer as
the grid bucket elliptic
"""
gb = meshing.cart_grid([], [10, 10])
for sub_g, d in gb:
if sub_g.dim == 2:
d['transport_data'] = InjectionDomain(sub_g, d)
else:
d['transport_data'] = MatrixDomain(sub_g, d)
problem = SourceProblem(gb, physics='transport')
problem.solve()
dE = change_in_energy(problem)
assert np.abs(dE - 10) < 1e-6
def define_grid():
"""
Make cartesian grids and a bucket. One horizontal and one vertical 1d
fracture in a 2d matrix domain.
"""
f_1 = np.array([[.5, .5, .5, .5], [.25, .75, .75, .25],
[.25, .25, .75, .75]])
f_2 = np.array([[0.2, .8, .8, 0.2], [.5, .5, .5, .5], [.25, .25, .75,
.75]])
fracs = [f_1, f_2]
mesh_kwargs = {'physdims': np.array([1, 1, 1])}
nx = [20, 20, 20]
gb = meshing.cart_grid(fracs, np.array(nx), **mesh_kwargs)
gb.assign_node_ordering()
return gb
def test_coarse_grid_3d_2d(self):
f = np.array([[2., 2., 2., 2.], [0., 2., 2., 0.], [0., 0., 2., 2.]])
gb = meshing.cart_grid([f], [4, 2, 2])
gb.compute_geometry()
g = gb.get_grids(lambda g: g.dim == gb.dim_max())[0]
part = np.zeros(g.num_cells)
part[g.cell_centers[0, :] < 2.] = 1
co.generate_coarse_grid(gb, part)
# Test
known_indices = np.array([1, 3, 0, 2, 1, 3, 0, 2])
known = np.array([1, 4, 7, 10, 44, 45, 46, 47])
for _, d in gb.edges():
indices, faces, _ = sps.find(d['face_cells'])
assert np.array_equal(indices, known_indices)
assert np.array_equal(faces, known)
def test_mortar_grid_1d_refine_1d_grid_2(self):
""" Refine the 1D grid so that it is no longer matching the 2D grid.
"""
f1 = np.array([[0, 1], [.5, .5]])
gb = meshing.cart_grid([f1], [2, 2], **{"physdims": [1, 1]})
gb.compute_geometry()
meshing.create_mortar_grids(gb)
gb.assign_node_ordering()
for e, d in gb.edges():
# refine the 1d-physical grid
old_g = gb.nodes_of_edge(e)[0]
new_g = refinement.remesh_1d(old_g, num_nodes=4)
new_g.compute_geometry()
gb.update_nodes(old_g, new_g)
mg = d["mortar_grid"]
mortars.update_physical_low_grid(mg, new_g, 1e-4)
high_to_mortar_known = np.matrix([
[0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.],
[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.],
])
low_to_mortar_known = (1. / 3. * np.matrix(
[[0., 1., 2.], [2., 1., 0.], [0., 1., 2.], [2., 1., 0.]]))
self.assertTrue(
np.allclose(high_to_mortar_known,
mg.high_to_mortar_int.todense()))
# The ordering of the cells in the new 1d grid may be flipped on
# some systems; therefore allow two configurations
self.assertTrue(
np.logical_or(
np.allclose(low_to_mortar_known,
mg.low_to_mortar_int.todense()),
np.allclose(low_to_mortar_known,
mg.low_to_mortar_int.todense()[::-1]),
))
def setup_3d(nx, simplex_grid=False):
f1 = np.array(
[[0.2, 0.2, 0.8, 0.8], [0.2, 0.8, 0.8, 0.2], [0.5, 0.5, 0.5, 0.5]])
f2 = np.array(
[[0.2, 0.8, 0.8, 0.2], [0.5, 0.5, 0.5, 0.5], [0.2, 0.2, 0.8, 0.8]])
f3 = np.array(
[[0.5, 0.5, 0.5, 0.5], [0.2, 0.8, 0.8, 0.2], [0.2, 0.2, 0.8, 0.8]])
fracs = [f1, f2, f3]
if not simplex_grid:
gb = meshing.cart_grid(fracs, nx, physdims=[1, 1, 1])
else:
mesh_kwargs = {}
mesh_size = .3
mesh_kwargs['mesh_size'] = {'mode': 'constant',
'value': mesh_size, 'bound_value': 2 * mesh_size}
domain = {'xmin': 0, 'ymin': 0, 'xmax': 1, 'ymax': 1}
gb = meshing.simplex_grid(fracs, domain, **mesh_kwargs)
gb.add_node_props(['param'])
for g, d in gb:
a = 0.01 / np.max(nx)
a = np.power(a, gb.dim_max() - g.dim)
param = Parameters(g)
param.set_aperture(a)
# BoundaryCondition
left = g.face_centers[0] < 1e-6
top = g.face_centers[2] > 1 - 1e-6
dir_faces = np.argwhere(left)
bc_cond = bc.BoundaryCondition(g, dir_faces, ['dir'] * dir_faces.size)
bc_val = np.zeros(g.num_faces)
bc_val[dir_faces] = 3
bc_val[top] = 2.4
param.set_bc('flow', bc_cond)
param.set_bc_val('flow', bc_val)
# Source and sink
src = np.zeros(g.num_cells)
src[0] = np.pi
src[-1] = -np.pi
param.set_source('flow', src)
d['param'] = param
return gb
def test_create_partition_2d_1d_test4(self):
f = np.array([[1., 1.], [1., 2.]])
gb = meshing.cart_grid([f], [2, 2])
gb.compute_geometry()
seeds = co.generate_seeds(gb)
known_seeds = np.array([2, 3])
assert np.array_equal(seeds, known_seeds)
part = co.create_partition(co.tpfa_matrix(gb), seeds=seeds)
co.generate_coarse_grid(gb, part)
# Test
known_indices = np.array([0, 0])
known = np.array([4, 10])
for _, d in gb.edges():
indices, faces, _ = sps.find(d['face_cells'])
assert np.array_equal(faces, known)
assert np.array_equal(indices, known_indices)
def setup_2d_1d(nx, simplex_grid=False):
frac1 = np.array([[0.2, 0.8], [0.5, 0.5]])
frac2 = np.array([[0.5, 0.5], [0.8, 0.2]])
fracs = [frac1, frac2]
if not simplex_grid:
gb = meshing.cart_grid(fracs, nx, physdims=[1, 1])
else:
mesh_kwargs = {"mesh_size_frac": .2, "mesh_size_min": .02}
domain = {"xmin": 0, "ymin": 0, "xmax": 1, "ymax": 1}
gb = meshing.simplex_grid(fracs, domain, **mesh_kwargs)
gb.compute_geometry()
gb.assign_node_ordering()
gb.add_node_props(["param"])
for g, d in gb:
kxx = np.ones(g.num_cells)
perm = tensor.SecondOrderTensor(3, kxx)
a = 0.01 / np.max(nx)
a = np.power(a, gb.dim_max() - g.dim)
param = Parameters(g)
param.set_tensor("flow", perm)
param.set_aperture(a)
if g.dim == 2:
bound_faces = g.tags["domain_boundary_faces"].nonzero()[0]
bound = bc.BoundaryCondition(g, bound_faces.ravel("F"),
["dir"] * bound_faces.size)
bc_val = np.zeros(g.num_faces)
bc_val[bound_faces] = g.face_centers[1, bound_faces]
param.set_bc("flow", bound)
param.set_bc_val("flow", bc_val)
d["param"] = param
gb.add_edge_props("kn")
for e, d in gb.edges():
g = gb.nodes_of_edge(e)[0]
mg = d["mortar_grid"]
check_P = mg.low_to_mortar_avg()
d["kn"] = 1 / (check_P * gb.node_props(g, "param").get_aperture())
return gb
def test_cell_global2loc_1_frac(self):
f = np.array([[0, 1], [1, 1]])
gb = meshing.cart_grid([f], [2, 2])
gb.cell_global2loc()
glob = np.arange(5)
# test grids
for g, d in gb:
if g.dim == 2:
loc = np.array([0, 1, 2, 3])
elif g.dim == 1:
loc = np.array([4])
else:
self.assertTrue(False)
R = d["cell_global2loc"]
self.assertTrue(np.all(R * glob == loc))
# test mortars
glob = np.array([0, 1])
for _, d in gb.edges():
loc = np.array([0, 1])
R = d["cell_global2loc"]
self.assertTrue(np.all(R * glob == loc))
def setup_2d_1d(nx, simplex_grid=False):
frac1 = np.array([[0.2, 0.8], [0.5, 0.5]])
frac2 = np.array([[0.5, 0.5], [0.8, 0.2]])
fracs = [frac1, frac2]
if not simplex_grid:
gb = meshing.cart_grid(fracs, nx, physdims=[1, 1])
else:
mesh_kwargs = {'mesh_size_frac': .2, 'mesh_size_min': .02}
domain = {'xmin': 0, 'ymin': 0, 'xmax': 1, 'ymax': 1}
gb = meshing.simplex_grid(fracs, domain, **mesh_kwargs)
gb.compute_geometry()
gb.assign_node_ordering()
gb.add_node_props(['param'])
for g, d in gb:
kxx = np.ones(g.num_cells)
perm = tensor.SecondOrderTensor(3, kxx)
a = 0.01 / np.max(nx)
a = np.power(a, gb.dim_max() - g.dim)
param = Parameters(g)
param.set_tensor('flow', perm)
param.set_aperture(a)
if g.dim == 2:
bound_faces = g.tags['domain_boundary_faces'].nonzero()[0]
bound = bc.BoundaryCondition(g, bound_faces.ravel('F'),
['dir'] * bound_faces.size)
bc_val = np.zeros(g.num_faces)
bc_val[bound_faces] = g.face_centers[1, bound_faces]
param.set_bc('flow', bound)
param.set_bc_val('flow', bc_val)
d['param'] = param
gb.add_edge_props('kn')
for e, d in gb.edges():
g = gb.nodes_of_edge(e)[0]
d['kn'] = 1 / gb.node_props(g, 'param').get_aperture()
return gb
def setup_2d_1d(nx, simplex_grid=False):
frac1 = np.array([[0.2, 0.8], [0.5, 0.5]])
frac2 = np.array([[0.5, 0.5], [0.8, 0.2]])
fracs = [frac1, frac2]
if not simplex_grid:
gb = meshing.cart_grid(fracs, nx, physdims=[1, 1])
else:
mesh_kwargs = {}
mesh_size = .3
mesh_kwargs['mesh_size'] = {
'mode': 'constant',
'value': mesh_size,
'bound_value': 2 * mesh_size
}
domain = {'xmin': 0, 'ymin': 0, 'xmax': 1, 'ymax': 1}
gb = meshing.simplex_grid(fracs, domain, **mesh_kwargs)
gb.compute_geometry()
gb.assign_node_ordering()
gb.add_node_props(['param'])
for g, d in gb:
kxx = np.ones(g.num_cells)
perm = tensor.SecondOrder(gb.dim_max(), kxx)
a = 0.01 / np.max(nx)
a = np.power(a, gb.dim_max() - g.dim)
param = Parameters(g)
param.set_tensor('flow', perm)
param.set_aperture(a)
if g.dim == 2:
bound_faces = g.get_boundary_faces()
bound = bc.BoundaryCondition(g, bound_faces.ravel('F'),
['dir'] * bound_faces.size)
bc_val = g.face_centers[1]
param.set_bc('flow', bound)
param.set_bc_val('flow', bc_val)
d['param'] = param
return gb
def test_tpfa_coupling_3d_2d_1d_0d_dir(self):
f1 = np.array([[ 0, 1, 1, 0],
[ 0, 0, 1, 1],
[.5, .5, .5, .5]])
f2 = np.array([[.5, .5, .5, .5],
[ 0, 1, 1, 0],
[ 0, 0, 1, 1]])
f3 = np.array([[ 0, 1, 1, 0],
[.5, .5, .5, .5],
[ 0, 0, 1, 1]])
gb = meshing.cart_grid([f1, f2, f3], [2, 2, 2],
**{'physdims': [1, 1, 1]})
gb.compute_geometry()
gb.assign_node_ordering()
# Remove flag for dual
cell_centers1 = np.array([[ 0.25 , 0.75 , 0.25 , 0.75],
[ 0.25 , 0.25 , 0.75 , 0.75],
[ 0.5 , 0.5 , 0.5 , 0.5 ]])
cell_centers2 = np.array([[ 0.5 , 0.5 , 0.5 , 0.5 ],
[ 0.25 , 0.25 , 0.75 , 0.75],
[ 0.75 , 0.25 , 0.75 , 0.25]])
cell_centers3 = np.array([[ 0.25 , 0.75 , 0.25 , 0.75],
[ 0.5 , 0.5 , 0.5 , 0.5 ],
[ 0.25 , 0.25 , 0.75 , 0.75]])
cell_centers4 = np.array([[ 0.5 ], [ 0.25], [ 0.5 ]])
cell_centers5 = np.array([[ 0.5 ], [ 0.75], [ 0.5 ]])
cell_centers6 = np.array([[ 0.75], [ 0.5 ], [ 0.5 ]])
cell_centers7 = np.array([[ 0.25], [ 0.5 ], [ 0.5 ]])
cell_centers8 = np.array([[ 0.5 ], [ 0.5 ], [ 0.25]])
cell_centers9 = np.array([[ 0.5 ], [ 0.5 ], [ 0.75]])
for g, d in gb:
if np.allclose(g.cell_centers[:, 0], cell_centers1[:, 0]):
d['node_number'] = 1
elif np.allclose(g.cell_centers[:, 0], cell_centers2[:, 0]):
d['node_number'] = 2
elif np.allclose(g.cell_centers[:, 0], cell_centers3[:, 0]):
d['node_number'] = 3
elif np.allclose(g.cell_centers[:, 0], cell_centers4[:, 0]):
d['node_number'] = 4
elif np.allclose(g.cell_centers[:, 0], cell_centers5[:, 0]):
d['node_number'] = 5
elif np.allclose(g.cell_centers[:, 0], cell_centers6[:, 0]):
d['node_number'] = 6
elif np.allclose(g.cell_centers[:, 0], cell_centers7[:, 0]):
d['node_number'] = 7
elif np.allclose(g.cell_centers[:, 0], cell_centers8[:, 0]):
d['node_number'] = 8
elif np.allclose(g.cell_centers[:, 0], cell_centers9[:, 0]):
d['node_number'] = 9
else:
pass
tol = 1e-3
solver = tpfa.Tpfa()
gb.add_node_props(['param'])
a = 1e-2
for g, d in gb:
param = Parameters(g)
aperture = np.ones(g.num_cells)*np.power(a, gb.dim_max() - g.dim)
param.set_aperture(aperture)
p = tensor.SecondOrder(3,np.ones(g.num_cells)* np.power(1e3, g.dim<gb.dim_max()))
param.set_tensor('flow', p)
bound_faces = g.get_boundary_faces()
bound_face_centers = g.face_centers[:, bound_faces]
left = bound_face_centers[0, :] > 1 - tol
right = bound_face_centers[0, :] < tol
labels = np.array(['neu'] * bound_faces.size)
labels[np.logical_or(left, right)] = ['dir']
bc_val = np.zeros(g.num_faces)
bc_dir = bound_faces[np.logical_or(left, right)]
bc_val[bc_dir] = g.face_centers[0,bc_dir]
param.set_bc(solver, bc.BoundaryCondition(g, bound_faces, labels))
param.set_bc_val(solver, bc_val)
d['param'] = param
coupling_conditions = tpfa.TpfaCoupling(solver)
solver_coupler = coupler.Coupler(solver, coupling_conditions)
A, rhs = solver_coupler.matrix_rhs(gb)
A_known, rhs_known, p_known = \
matrix_rhs_pressure_for_test_tpfa_coupling_3d_2d_1d_0d()
p = sps.linalg.spsolve(A, rhs)
rtol = 1e-6
atol = rtol
assert np.allclose(A.todense(), A_known, rtol, atol)
assert np.allclose(rhs, rhs_known, rtol, atol)
assert np.allclose(p, p_known, rtol, atol)
def test_tpfa_coupling_2d_1d_left_right_cross_dir_neu(self):
f1 = np.array([[0, 2],
[.5, .5]])
f2 = np.array([[.5, .5],
[0, 2]])
gb = meshing.cart_grid( [f1, f2], [2, 2], **{'physdims': [1, 1]})
gb.compute_geometry()
gb.assign_node_ordering()
# Enforce node orderning because of Python 3.5 and 2.7.
# Don't do it in general.
cell_centers_1 = np.array([[ 7.50000000e-01, 2.500000000e-01],
[ 5.00000000e-01, 5.00000000e-01],
[ -5.55111512e-17, 5.55111512e-17]])
cell_centers_2 = np.array([[ 5.00000000e-01, 5.00000000e-01],
[ 7.50000000e-01, 2.500000000e-01],
[ -5.55111512e-17, 5.55111512e-17]])
for g, d in gb:
if g.dim == 1:
if np.allclose(g.cell_centers, cell_centers_1):
d['node_number'] = 1
elif np.allclose(g.cell_centers, cell_centers_2):
d['node_number'] = 2
else:
raise ValueError('Grid not found')
tol = 1e-3
solver = tpfa.Tpfa()
gb.add_node_props(['param'])
a = 1e-2
for g, d in gb:
param = Parameters(g)
a_dim = np.power(a, gb.dim_max() - g.dim)
aperture = np.ones(g.num_cells)*a_dim
param.set_aperture(aperture)
kxx = np.ones(g.num_cells) * np.power(1e3, g.dim<gb.dim_max())
#print(kxx, 'dim', g.dim)
p = tensor.SecondOrder(3,kxx,kyy=kxx,kzz=kxx)
#print(p.perm)
param.set_tensor('flow', p)
bound_faces = g.get_boundary_faces()
bound_face_centers = g.face_centers[:, bound_faces]
right = bound_face_centers[0, :] > 1 - tol
left = bound_face_centers[0, :] < tol
labels = np.array(['neu'] * bound_faces.size)
labels[right] = ['dir']
bc_val = np.zeros(g.num_faces)
bc_dir = bound_faces[right]
bc_neu = bound_faces[left]
bc_val[bc_dir] = g.face_centers[0,bc_dir]
bc_val[bc_neu] = -g.face_areas[bc_neu]*a_dim
param.set_bc(solver, bc.BoundaryCondition(g, bound_faces, labels))
param.set_bc_val(solver, bc_val)
d['param'] = param
coupling_conditions = tpfa.TpfaCoupling(solver)
solver_coupler = coupler.Coupler(solver, coupling_conditions)
A, rhs = solver_coupler.matrix_rhs(gb)
A_known, rhs_known = matrix_rhs_for_2d_1d_cross()
rtol = 1e-6
atol = rtol
assert np.allclose(A.todense(), A_known, rtol, atol)
assert np.allclose(rhs, rhs_known, rtol, atol)
def test_tpfa_coupling_2d_1d_left_right_dir_neu(self):
"""
Grid: 2 x 2 cells in matrix + 2 cells in the fracture from left to right.
Dirichlet + inflow + no-flow, conductive fracture.
Tests pressure solution as well as matrix and rhs.
"""
f = np.array([[0, 1],
[.5, .5]])
gb = meshing.cart_grid( [f], [2, 2], **{'physdims': [1, 1]})
gb.compute_geometry()
gb.assign_node_ordering()
tol = 1e-3
solver = tpfa.Tpfa(physics='flow')
gb.add_node_props(['param'])
a = 1e-2
for g, d in gb:
param = Parameters(g)
a_dim = np.power(a, gb.dim_max() - g.dim)
aperture = np.ones(g.num_cells)*a_dim
param.set_aperture(aperture)
p = tensor.SecondOrder(3,np.ones(g.num_cells)* np.power(1e3, g.dim<gb.dim_max()))
param.set_tensor('flow', p)
bound_faces = g.get_boundary_faces()
bound_face_centers = g.face_centers[:, bound_faces]
right = bound_face_centers[0, :] > 1 - tol
left = bound_face_centers[0, :] < tol
labels = np.array(['neu'] * bound_faces.size)
labels[right] = ['dir']
bc_val = np.zeros(g.num_faces)
bc_dir = bound_faces[right]
bc_neu = bound_faces[left]
bc_val[bc_dir] = g.face_centers[0,bc_dir]
bc_val[bc_neu] = -g.face_areas[bc_neu]*a_dim
param.set_bc(solver, bc.BoundaryCondition(g, bound_faces, labels))
param.set_bc_val(solver, bc_val)
d['param'] = param
coupling_conditions = tpfa.TpfaCoupling(solver)
solver_coupler = coupler.Coupler(solver, coupling_conditions)
A, rhs = solver_coupler.matrix_rhs(gb)
A_known = np.array(\
[[ 2.99996, -1. , 0. , 0. , 0. , -1.99996],
[ -1. , 4.99996, 0. , 0. , -1.99996, 0. ],
[ 0. , 0. , 2.99996, -1. , 0. , -1.99996],
[ 0. , 0. , -1. , 4.99996, -1.99996, 0. ],
[ 0. , -1.99996, 0. , -1.99996, 63.99992, -20. ],
[ -1.99996, 0. , -1.99996, 0. , -20. , 23.99992]] )
rhs_known = np.array([ 5.00000000e-01, 2.00000000e+00, 5.00000000e-01,
2.00000000e+00, 4.00000000e+01, 1.00000000e-02])
p_known = np.array([ 1.21984244, 1.05198918, 1.21984244, 1.05198918,
1.02005108, 1.05376576])
p = sps.linalg.spsolve(A, rhs)
rtol = 1e-6
atol = rtol
assert np.allclose(A.todense(), A_known, rtol, atol)
assert np.allclose(rhs, rhs_known, rtol, atol)
assert np.allclose(p, p_known, rtol, atol)
def test_tpfa_coupling_2d_1d_left_right_dir(self):
"""
Grid: 2 x 2 cells in matrix + 2 cells in the fracture from left to right.
Dirichlet + no-flow, conductive fracture.
"""
f = np.array([[0, 1],
[.5, .5]])
gb = meshing.cart_grid( [f], [2, 2], **{'physdims': [1, 1]})
gb.compute_geometry()
gb.assign_node_ordering()
tol = 1e-3
solver = tpfa.Tpfa(physics='flow')
gb.add_node_props(['param'])
a = 1e-2
for g, d in gb:
param = Parameters(g)
aperture = np.ones(g.num_cells)*np.power(a, gb.dim_max() - g.dim)
param.set_aperture(aperture)
p = tensor.SecondOrder(3,np.ones(g.num_cells)* np.power(1e3, g.dim<gb.dim_max()))
param.set_tensor('flow', p)
bound_faces = g.get_boundary_faces()
bound_face_centers = g.face_centers[:, bound_faces]
left = bound_face_centers[0, :] > 1 - tol
right = bound_face_centers[0, :] < tol
labels = np.array(['neu'] * bound_faces.size)
labels[np.logical_or(left, right)] = ['dir']
bc_val = np.zeros(g.num_faces)
bc_dir = bound_faces[np.logical_or(left, right)]
bc_val[bc_dir] = g.face_centers[0,bc_dir]
param.set_bc(solver, bc.BoundaryCondition(g, bound_faces, labels))
param.set_bc_val(solver, bc_val)
d['param'] = param
coupling_conditions = tpfa.TpfaCoupling(solver)
solver_coupler = coupler.Coupler(solver, coupling_conditions)
A, rhs = solver_coupler.matrix_rhs(gb)
A_known = np.array(
[[ 4.99996, -1. , 0. , 0. , 0. , -1.99996],
[ -1. , 4.99996, 0. , 0. , -1.99996, 0. ],
[ 0. , 0. , 4.99996, -1. , 0. , -1.99996],
[ 0. , 0. , -1. , 4.99996, -1.99996, 0. ],
[ 0. , -1.99996, 0. , -1.99996, 63.99992, -20. ],
[ -1.99996, 0. , -1.99996, 0. , -20. , 63.99992]])
rhs_known = np.array([ 0., 2., 0., 2., 40., 0.])
rtol = 1e-6
atol = rtol
assert np.allclose(A.todense(), A_known, rtol, atol)
assert np.allclose(rhs, rhs_known, rtol, atol)
def test_coarse_grid_2d_1d_cross(self):
# NOTE: Since for python 2.7 and 3.5 the meshes in gridbucket may have
# non-fixed order, we need to exclude this test.
if sys.version_info >= (3, 6):
part = np.zeros(36)
part[[0, 1, 2, 6, 7]] = 1
part[[8, 14, 13]] = 2
part[[12, 18, 19]] = 3
part[[24, 30, 31, 32]] = 4
part[[21, 22, 23, 27, 28, 29, 33, 34, 35]] = 5
part[[9]] = 6
part[[15, 16, 17]] = 7
part[[9, 10]] = 8
part[[20, 26, 25]] = 9
part[[3, 4, 5, 11]] = 10
f1 = np.array([[3., 3.], [1., 5.]])
f2 = np.array([[1., 5.], [3., 3.]])
gb = meshing.cart_grid([f1, f2], [6, 6])
gb.compute_geometry()
cell_centers_1 = np.array( \
[[3.00000000e+00, 3.00000000e+00, 3.00000000e+00,
3.00000000e+00],
[4.50000000e+00, 3.50000000e+00, 2.50000000e+00,
1.50000000e+00],
[-1.66533454e-16, -5.55111512e-17, 5.55111512e-17,
1.66533454e-16]])
cell_centers_2 = np.array( \
[[4.50000000e+00, 3.50000000e+00, 2.50000000e+00,
1.50000000e+00],
[3.00000000e+00, 3.00000000e+00, 3.00000000e+00,
3.00000000e+00],
[-1.66533454e-16, -5.55111512e-17, 5.55111512e-17,
1.66533454e-16]])
co.generate_coarse_grid(gb, part)
# Test
for e_d in gb.edges():
faces = sps.find(e_d[1]['face_cells'])[1]
if (e_d[0][0].dim == 0 and e_d[0][1].dim == 1) \
or \
(e_d[0][0].dim == 1 and e_d[0][1].dim == 0):
known = [2, 5]
if (e_d[0][0].dim == 1 and e_d[0][1].dim == 2) \
or \
(e_d[0][0].dim == 2 and e_d[0][1].dim == 1):
g = e_d[0][0] if e_d[0][0].dim == 1 else e_d[0][1]
if np.allclose(g.cell_centers, cell_centers_1):
known = [5, 10, 14, 18, 52, 53, 54, 55]
elif np.allclose(g.cell_centers, cell_centers_2):
known = [37, 38, 39, 40, 56, 57, 58, 59]
else:
raise ValueError('Grid not found')
assert np.array_equal(faces, known)
def test_0d_elimination_2d_1d_cross(self):
"""
Simplest case possible:
2d case with two fractures intersecting in a single 0d grid
at the center of the domain.
"""
f1 = np.array([[0, 1], [.5, .5]])
f2 = np.array([[.5, .5], [0, 1]])
gb = meshing.cart_grid([f1, f2], [2, 2], **{'physdims': [1, 1]})
gb.compute_geometry()
gb.assign_node_ordering()
tol = 1e-3
solver = tpfa.Tpfa()
gb.add_node_props(['param'])
a = 1e-2
for g, d in gb:
param = Parameters(g)
a_dim = np.power(a, gb.dim_max() - g.dim)
aperture = np.ones(g.num_cells) * a_dim
param.set_aperture(aperture)
kxx = np.ones(g.num_cells) * np.power(1e3, g.dim < gb.dim_max())
p = tensor.SecondOrderTensor(3, kxx, kyy=kxx, kzz=kxx)
param.set_tensor('flow', p)
bound_faces = g.tags['domain_boundary_faces'].nonzero()[0]
if bound_faces.size != 0:
bound_face_centers = g.face_centers[:, bound_faces]
right = bound_face_centers[0, :] > 1 - tol
left = bound_face_centers[0, :] < tol
labels = np.array(['neu'] * bound_faces.size)
labels[right] = ['dir']
bc_val = np.zeros(g.num_faces)
bc_dir = bound_faces[right]
bc_neu = bound_faces[left]
bc_val[bc_dir] = g.face_centers[0, bc_dir]
bc_val[bc_neu] = -g.face_areas[bc_neu] * a_dim
param.set_bc(solver,
bc.BoundaryCondition(g, bound_faces, labels))
param.set_bc_val(solver, bc_val)
else:
param.set_bc("flow",
bc.BoundaryCondition(g, np.empty(0), np.empty(0)))
d['param'] = param
coupling_conditions = tpfa.TpfaCoupling(solver)
solver_coupler = coupler.Coupler(solver, coupling_conditions)
A, rhs = solver_coupler.matrix_rhs(gb)
p = sps.linalg.spsolve(A, rhs)
p_cond, _, _, _ = condensation.solve_static_condensation(A,
rhs,
gb,
dim=0)
solver_coupler.split(gb, 'pressure', p)
solver_coupler.split(gb, "p_cond", p_cond)
tol = 1e-10
assert ((np.amax(np.absolute(p - p_cond))) < tol)
assert (np.sum(
error.error_L2(g, d['pressure'], d['p_cond'])
for g, d in gb) < tol)
def test_non_zero_bc_val(self):
"""
We mixed bc_val on domain boundary and fracture displacement in
x-direction.
"""
frac = np.array([[1,1,1], [1,2,1], [2,2,1], [2,1,1]]).T
physdims = np.array([3,3,2])
g = meshing.cart_grid([frac], [3,3,2], physdims=physdims).grids_of_dimension(3)[0]
data = {'param': Parameters(g)}
# Define boundary conditions
bc_val = np.zeros((g.dim, g.num_faces))
frac_slip = np.zeros((g.dim, g.num_faces))
frac_bnd = g.has_face_tag(FaceTag.FRACTURE)
dom_bnd = g.has_face_tag(FaceTag.DOMAIN_BOUNDARY)
frac_slip[0, frac_bnd] = np.ones(np.sum(frac_bnd))
bc_val[:, dom_bnd] = g.face_centers[:, dom_bnd]
bound = bc.BoundaryCondition(g, g.get_boundary_faces(), 'dir')
data['param'].set_bc('mechanics', bound)
data['param'].set_bc_val('mechanics', bc_val.ravel('F'))
data['param'].set_slip_distance(frac_slip.ravel('F'))
solver = mpsa.FracturedMpsa()
A, b = solver.matrix_rhs(g, data)
u = np.linalg.solve(A.A, b)
u_f = solver.extract_frac_u(g, u)
u_c = solver.extract_u(g, u)
u_c = u_c.reshape((3, -1), order='F')
# Test traction
frac_faces = g.frac_pairs
frac_left = frac_faces[0]
frac_right = frac_faces[1]
T = solver.traction(g, data, u)
T = T.reshape((3, -1),order='F')
T_left = T[:, frac_left]
T_right = T[:, frac_right]
assert np.allclose(T_left, T_right)
# we have u_lhs - u_rhs = 1 so u_lhs should be positive
mid_ind = int(round(u_f.size/2))
u_left = u_f[:mid_ind]
u_right = u_f[mid_ind:]
true_diff = np.atleast_2d(np.array([1,0,0])).T
u_left = u_left.reshape((3, -1), order='F')
u_right = u_right.reshape((3, -1), order='F')
assert np.all(np.abs(u_left - u_right - true_diff) < 1e-10)
# should have a positive displacement for all cells
assert np.all(u_c > 0)
def test_create_partition_2d_1d_cross_test7(self):
# NOTE: Since for python 2.7 and 3.5 the meshes in gridbucket may have
# non-fixed order, we need to exclude this test.
if sys.version_info >= (3, 6):
N = 20
f1 = np.array([[N / 2., N / 2.], [1., N - 1.]])
f2 = np.array([[1., N - 1.], [N / 2., N / 2.]])
gb = meshing.cart_grid([f1, f2], [N, N])
gb.compute_geometry()
seeds = co.generate_seeds(gb)
known_seeds = np.array([29, 30, 369, 370, 181, 198, 201, 218])
assert np.array_equal(np.sort(seeds), np.sort(known_seeds))
part = co.create_partition(co.tpfa_matrix(gb),
cdepth=3,
seeds=seeds)
co.generate_coarse_grid(gb, part)
cell_centers_1 = np.array( \
[[1.00000000e+01, 1.00000000e+01, 1.00000000e+01,
1.00000000e+01, 1.00000000e+01, 1.00000000e+01,
1.00000000e+01, 1.00000000e+01, 1.00000000e+01,
1.00000000e+01, 1.00000000e+01, 1.00000000e+01,
1.00000000e+01, 1.00000000e+01, 1.00000000e+01,
1.00000000e+01, 1.00000000e+01, 1.00000000e+01],
[1.85000000e+01, 1.75000000e+01, 1.65000000e+01,
1.55000000e+01, 1.45000000e+01, 1.35000000e+01,
1.25000000e+01, 1.15000000e+01, 1.05000000e+01,
9.50000000e+00, 8.50000000e+00, 7.50000000e+00,
6.50000000e+00, 5.50000000e+00, 4.50000000e+00,
3.50000000e+00, 2.50000000e+00, 1.50000000e+00],
[-9.43689571e-16, -8.32667268e-16, -7.21644966e-16,
-6.10622664e-16, -4.99600361e-16, -3.88578059e-16,
-2.77555756e-16, -1.66533454e-16, -5.55111512e-17,
5.55111512e-17, 1.66533454e-16, 2.77555756e-16,
3.88578059e-16, 4.99600361e-16, 6.10622664e-16,
7.21644966e-16, 8.32667268e-16, 9.43689571e-16]])
cell_centers_2 = np.array( \
[[1.85000000e+01, 1.75000000e+01, 1.65000000e+01,
1.55000000e+01, 1.45000000e+01, 1.35000000e+01,
1.25000000e+01, 1.15000000e+01, 1.05000000e+01,
9.50000000e+00, 8.50000000e+00, 7.50000000e+00,
6.50000000e+00, 5.50000000e+00, 4.50000000e+00,
3.50000000e+00, 2.50000000e+00, 1.50000000e+00],
[1.00000000e+01, 1.00000000e+01, 1.00000000e+01,
1.00000000e+01, 1.00000000e+01, 1.00000000e+01,
1.00000000e+01, 1.00000000e+01, 1.00000000e+01,
1.00000000e+01, 1.00000000e+01, 1.00000000e+01,
1.00000000e+01, 1.00000000e+01, 1.00000000e+01,
1.00000000e+01, 1.00000000e+01, 1.00000000e+01],
[-9.43689571e-16, -8.32667268e-16, -7.21644966e-16,
-6.10622664e-16, -4.99600361e-16, -3.88578059e-16,
-2.77555756e-16, -1.66533454e-16, -5.55111512e-17,
5.55111512e-17, 1.66533454e-16, 2.77555756e-16,
3.88578059e-16, 4.99600361e-16, 6.10622664e-16,
7.21644966e-16, 8.32667268e-16, 9.43689571e-16]])
# Test
for e_d in gb.edges():
indices, faces, _ = sps.find(e_d[1]['face_cells'])
if (e_d[0][0].dim == 0 and e_d[0][1].dim == 1) \
or \
(e_d[0][0].dim == 1 and e_d[0][1].dim == 0):
known = [9, 19]
known_indices = [0, 0]
if (e_d[0][0].dim == 1 and e_d[0][1].dim == 2) \
or \
(e_d[0][0].dim == 2 and e_d[0][1].dim == 1):
g = e_d[0][0] if e_d[0][0].dim == 1 else e_d[0][1]
if np.allclose(g.cell_centers, cell_centers_1):
known = [
10, 18, 28, 37, 46, 54, 62, 71, 77, 84, 91, 99,
108, 116, 124, 134, 143, 151, 328, 329, 330, 331,
332, 333, 334, 335, 336, 337, 338, 339, 340, 341,
342, 343, 344, 345
]
known_indices = [
17, 16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4,
3, 2, 1, 0, 17, 16, 15, 14, 13, 12, 11, 10, 9, 8,
7, 6, 5, 4, 3, 2, 1, 0
]
elif np.allclose(g.cell_centers, cell_centers_2):
known = [
236, 237, 238, 239, 240, 241, 242, 243, 244, 245,
246, 247, 248, 249, 250, 251, 252, 253, 346, 347,
348, 349, 350, 351, 352, 353, 354, 355, 356, 357,
358, 359, 360, 361, 362, 363
]
known_indices = [
17, 16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4,
3, 2, 1, 0, 17, 16, 15, 14, 13, 12, 11, 10, 9, 8,
7, 6, 5, 4, 3, 2, 1, 0
]
else:
raise ValueError('Grid not found')
assert np.array_equal(faces, np.array(known))
assert np.array_equal(indices, np.array(known_indices))
def test_coarse_grid_3d_2d_cross(self):
# NOTE: Since for python 2.7 and 3.5 the meshes in gridbucket may have
# non-fixed order, we need to exclude this test.
if sys.version_info >= (3, 6):
f1 = np.array([[3., 3., 3., 3.], [1., 5., 5., 1.],
[1., 1., 5., 5.]])
f2 = np.array([[1., 5., 5., 1.], [1., 1., 5., 5.],
[3., 3., 3., 3.]])
gb = meshing.cart_grid([f1, f2], [6, 6, 6])
gb.compute_geometry()
g = gb.get_grids(lambda g: g.dim == gb.dim_max())[0]
part = np.zeros(g.num_cells)
p1, p2 = g.cell_centers[0, :] < 3., g.cell_centers[2, :] < 3.
part[np.logical_and(p1, p2)] = 1
part[np.logical_and(p1, np.logical_not(p2))] = 2
part[np.logical_and(np.logical_not(p1), p2)] = 3
part[np.logical_and(np.logical_not(p1), np.logical_not(p2))] = 4
co.generate_coarse_grid(gb, part)
cell_centers_1 = np.array( \
[[3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3.,
3., 3., 3., 3., 3.],
[1.5, 1.5, 1.5, 1.5, 2.5, 2.5, 2.5, 2.5, 3.5, 3.5, 3.5,
3.5, 4.5, 4.5, 4.5, 4.5],
[4.5, 3.5, 2.5, 1.5, 4.5, 3.5, 2.5, 1.5, 4.5, 3.5, 2.5,
1.5, 4.5, 3.5, 2.5, 1.5]])
cell_centers_2 = np.array( \
[[1.5, 2.5, 3.5, 4.5, 1.5, 2.5, 3.5, 4.5, 1.5, 2.5, 3.5,
4.5, 1.5, 2.5, 3.5, 4.5],
[1.5, 1.5, 1.5, 1.5, 2.5, 2.5, 2.5, 2.5, 3.5, 3.5, 3.5,
3.5, 4.5, 4.5, 4.5, 4.5],
[3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3.,
3., 3., 3., 3., 3.]])
# Test
for e_d in gb.edges():
indices, faces, _ = sps.find(e_d[1]['face_cells'])
if (e_d[0][0].dim == 1 and e_d[0][1].dim == 2) \
or \
(e_d[0][0].dim == 2 and e_d[0][1].dim == 1):
known_indices = [3, 2, 1, 0, 3, 2, 1, 0]
known = [2, 7, 12, 17, 40, 41, 42, 43]
if (e_d[0][0].dim == 2 and e_d[0][1].dim == 3) \
or \
(e_d[0][0].dim == 3 and e_d[0][1].dim == 2):
g = e_d[0][0] if e_d[0][0].dim == 2 else e_d[0][1]
if np.allclose(g.cell_centers, cell_centers_1):
known_indices = [
3, 7, 11, 15, 2, 6, 10, 14, 1, 5, 9, 13, 0, 4, 8,
12, 3, 7, 11, 15, 2, 6, 10, 14, 1, 5, 9, 13, 0, 4,
8, 12
]
known = [
22, 25, 28, 31, 40, 43, 46, 49, 58, 61, 64, 67, 76,
79, 82, 85, 288, 289, 290, 291, 292, 293, 294, 295,
296, 297, 298, 299, 300, 301, 302, 303
]
elif np.allclose(g.cell_centers, cell_centers_2):
known_indices = [
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,
14, 15
]
known = [
223, 224, 225, 226, 229, 230, 231, 232, 235, 236,
237, 238, 241, 242, 243, 244, 304, 305, 306, 307,
308, 309, 310, 311, 312, 313, 314, 315, 316, 317,
318, 319
]
else:
raise ValueError('Grid not found')
assert np.array_equal(indices, np.array(known_indices))
assert np.array_equal(faces, np.array(known))
def test_tpfa_coupling_2d_1d_bottom_top_dir_neu(self):
"""
Grid: 1 x 2 cells in matrix + 1 cell in the fracture from left to right.
Dirichlet + inflow + no-flow, blocking fracture.
"""
f = np.array([[0, 1],
[.5, .5]])
gb = meshing.cart_grid( [f], [1, 2], **{'physdims': [1, 1]})
gb.compute_geometry()
gb.assign_node_ordering()
tol = 1e-3
solver = tpfa.Tpfa(physics='flow')
solver = tpfa.Tpfa(physics='flow')
gb.add_node_props(['param'])
a = 1e-2
for g, d in gb:
param = Parameters(g)
a_dim = np.power(a, gb.dim_max() - g.dim)
aperture = np.ones(g.num_cells)*a_dim
param.set_aperture(aperture)
p = tensor.SecondOrder(3,np.ones(g.num_cells)* np.power(1e-3, g.dim<gb.dim_max()))
param.set_tensor('flow', p)
bound_faces = g.get_boundary_faces()
bound_face_centers = g.face_centers[:, bound_faces]
top = bound_face_centers[1, :] > 1 - tol
bottom = bound_face_centers[1, :] < tol
labels = np.array(['neu'] * bound_faces.size)
labels[bottom] = ['dir']
bc_val = np.zeros(g.num_faces)
bc_dir = bound_faces[bottom]
bc_neu = bound_faces[top]
bc_val[bc_dir] = g.face_centers[1,bc_dir]
bc_val[bc_neu] = -g.face_areas[bc_neu]*a_dim
param.set_bc(solver, bc.BoundaryCondition(g, bound_faces, labels))
param.set_bc_val(solver, bc_val)
d['param'] = param
coupling_conditions = tpfa.TpfaCoupling(solver)
solver_coupler = coupler.Coupler(solver, coupling_conditions)
A, rhs = solver_coupler.matrix_rhs(gb)
A_known = np.array([[ 4.19047619, 0. , -0.19047619],
[ 0. , 0.19047619, -0.19047619],
[-0.19047619, -0.19047619, 0.38095238]])
rhs_known = np.array([0, 1, 0])
rtol = 1e-6
atol = rtol
assert np.allclose(A.todense(), A_known, rtol, atol)
assert np.allclose(rhs, rhs_known, rtol, atol)
def test_0d_elimination_3d_2d_1d_0d(self):
"""
3d case with a single 0d grid.
"""
f1 = np.array([[0, 1, 1, 0], [0, 0, 1, 1], [.5, .5, .5, .5]])
f2 = np.array([[.5, .5, .5, .5], [0, 1, 1, 0], [0, 0, 1, 1]])
f3 = np.array([[0, 1, 1, 0], [.5, .5, .5, .5], [0, 0, 1, 1]])
gb = meshing.cart_grid([f1, f2, f3], [2, 2, 2],
**{'physdims': [1, 1, 1]})
gb.compute_geometry()
gb.assign_node_ordering()
cell_centers1 = np.array([[0.25, 0.75, 0.25, 0.75],
[0.25, 0.25, 0.75, 0.75],
[0.5, 0.5, 0.5, 0.5]])
cell_centers2 = np.array([[0.5, 0.5, 0.5, 0.5],
[0.25, 0.25, 0.75, 0.75],
[0.75, 0.25, 0.75, 0.25]])
cell_centers3 = np.array([[0.25, 0.75, 0.25,
0.75], [0.5, 0.5, 0.5, 0.5],
[0.25, 0.25, 0.75, 0.75]])
cell_centers4 = np.array([[0.5], [0.25], [0.5]])
cell_centers5 = np.array([[0.5], [0.75], [0.5]])
cell_centers6 = np.array([[0.75], [0.5], [0.5]])
cell_centers7 = np.array([[0.25], [0.5], [0.5]])
cell_centers8 = np.array([[0.5], [0.5], [0.25]])
cell_centers9 = np.array([[0.5], [0.5], [0.75]])
for g, d in gb:
if np.allclose(g.cell_centers[:, 0], cell_centers1[:, 0]):
d['node_number'] = 1
elif np.allclose(g.cell_centers[:, 0], cell_centers2[:, 0]):
d['node_number'] = 2
elif np.allclose(g.cell_centers[:, 0], cell_centers3[:, 0]):
d['node_number'] = 3
elif np.allclose(g.cell_centers[:, 0], cell_centers4[:, 0]):
d['node_number'] = 4
elif np.allclose(g.cell_centers[:, 0], cell_centers5[:, 0]):
d['node_number'] = 5
elif np.allclose(g.cell_centers[:, 0], cell_centers6[:, 0]):
d['node_number'] = 6
elif np.allclose(g.cell_centers[:, 0], cell_centers7[:, 0]):
d['node_number'] = 7
elif np.allclose(g.cell_centers[:, 0], cell_centers8[:, 0]):
d['node_number'] = 8
elif np.allclose(g.cell_centers[:, 0], cell_centers9[:, 0]):
d['node_number'] = 9
else:
pass
tol = 1e-3
solver = tpfa.Tpfa()
gb.add_node_props(['param'])
a = 1e-2
for g, d in gb:
param = Parameters(g)
aperture = np.ones(g.num_cells) * np.power(a, gb.dim_max() - g.dim)
param.set_aperture(aperture)
p = tensor.SecondOrderTensor(
3,
np.ones(g.num_cells) * np.power(1e3, g.dim < gb.dim_max()))
param.set_tensor('flow', p)
bound_faces = g.tags['domain_boundary_faces'].nonzero()[0]
if bound_faces.size != 0:
bound_face_centers = g.face_centers[:, bound_faces]
left = bound_face_centers[0, :] > 1 - tol
right = bound_face_centers[0, :] < tol
labels = np.array(['neu'] * bound_faces.size)
labels[np.logical_or(left, right)] = ['dir']
bc_val = np.zeros(g.num_faces)
bc_dir = bound_faces[np.logical_or(left, right)]
bc_val[bc_dir] = g.face_centers[0, bc_dir]
param.set_bc(solver,
bc.BoundaryCondition(g, bound_faces, labels))
param.set_bc_val(solver, bc_val)
else:
param.set_bc("flow",
bc.BoundaryCondition(g, np.empty(0), np.empty(0)))
d['param'] = param
coupling_conditions = tpfa.TpfaCoupling(solver)
solver_coupler = coupler.Coupler(solver, coupling_conditions)
A, rhs = solver_coupler.matrix_rhs(gb)
p = sps.linalg.spsolve(A, rhs)
p_cond, _, _, _ = condensation.solve_static_condensation(A,
rhs,
gb,
dim=0)
solver_coupler.split(gb, 'pressure', p)
solver_coupler.split(gb, "p_cond", p_cond)
tol = 1e-10
assert ((np.amax(np.absolute(p - p_cond))) < tol)
assert (np.sum(
error.error_L2(g, d['pressure'], d['p_cond'])
for g, d in gb) < tol)
def test_tag_2d_1d_cart(self):
f1 = np.array([[0, 1], [.5, .5]])
gb = meshing.cart_grid([f1], [4, 4], **{"physdims": [1, 1]})
for g, _ in gb:
if g.dim == 1:
self.assertTrue(
np.array_equal(g.tags["fracture_faces"],
[False] * g.num_faces))
self.assertTrue(
np.array_equal(g.tags["fracture_nodes"],
[False] * g.num_nodes))
self.assertTrue(
np.array_equal(g.tags["tip_faces"], [False] * g.num_faces))
self.assertTrue(
np.array_equal(g.tags["tip_nodes"], [False] * g.num_nodes))
known = [0, 4]
computed = np.where(g.tags["domain_boundary_faces"])[0]
self.assertTrue(np.array_equal(computed, known))
known = [0, 4]
computed = np.where(g.tags["domain_boundary_nodes"])[0]
self.assertTrue(np.array_equal(computed, known))
if g.dim == 2:
known = [28, 29, 30, 31, 40, 41, 42, 43]
computed = np.where(g.tags["fracture_faces"])[0]
self.assertTrue(np.array_equal(computed, known))
known = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
computed = np.where(g.tags["fracture_nodes"])[0]
print(computed, known)
self.assertTrue(np.array_equal(computed, known))
self.assertTrue(
np.array_equal(g.tags["tip_faces"], [False] * g.num_faces))
self.assertTrue(
np.array_equal(g.tags["tip_nodes"], [False] * g.num_nodes))
known = [
0, 4, 5, 9, 10, 14, 15, 19, 20, 21, 22, 23, 36, 37, 38, 39
]
computed = np.where(g.tags["domain_boundary_faces"])[0]
self.assertTrue(np.array_equal(computed, known))
known = [
0,
1,
2,
3,
4,
5,
9,
10,
11,
18,
19,
20,
24,
25,
26,
27,
28,
29,
]
computed = np.where(g.tags["domain_boundary_nodes"])[0]
self.assertTrue(np.array_equal(computed, known))
def test_mono_equals_multi(self):
"""
test that the mono_dimensional elliptic solver gives the same answer as
the grid bucket elliptic
"""
g = CartGrid([10, 10])
g.compute_geometry()
gb = meshing.cart_grid([], [10, 10])
param_g = Parameters(g)
def bc_val(g):
left = g.face_centers[0] < 1e-6
right = g.face_centers[0] > 10 - 1e-6
bc_val = np.zeros(g.num_faces)
bc_val[left] = -1
bc_val[right] = 1
return bc_val
def bc_labels(g):
bound_faces = g.get_boundary_faces()
bound_face_centers = g.face_centers[:, bound_faces]
left = bound_face_centers[0] < 1e-6
right = bound_face_centers[0] > 10 - 1e-6
labels = np.array(['neu'] * bound_faces.size)
labels[np.logical_or(right, left)] = 'dir'
bc_labels = bc.BoundaryCondition(g, bound_faces, labels)
return bc_labels
param_g.set_bc_val('flow', bc_val(g))
param_g.set_bc('flow', bc_labels(g))
gb.add_node_props(['param'])
for sub_g, d in gb:
d['param'] = Parameters(sub_g)
d['param'].set_bc_val('flow', bc_val(sub_g))
d['param'].set_bc('flow', bc_labels(sub_g))
problem_mono = elliptic.DualEllipticModel(g, {'param': param_g})
problem_mult = elliptic.DualEllipticModel(gb)
up_mono = problem_mono.solve()
up_mult = problem_mult.solve()
assert np.allclose(up_mono, up_mult)
g_gb = next(problem_mult.grid().nodes())
problem_mono.pressure('pressure')
problem_mult.split()
problem_mult.pressure('pressure')
assert np.allclose(problem_mono.data()['pressure'],
problem_mult.grid().node_prop(g_gb, 'pressure'))
problem_mono.discharge('u')
problem_mult.discharge('u')
assert np.allclose(problem_mono.data()['u'],
problem_mult.grid().node_prop(g_gb, 'u'))
problem_mono.project_discharge('P0u')
problem_mult.project_discharge('P0u')
problem_mono.save(['pressure', 'P0u'])
problem_mult.save(['pressure', 'P0u'])
assert np.allclose(problem_mono.data()['P0u'],
problem_mult.grid().node_prop(g_gb, 'P0u'))
def test_tag_2d_1d_cart_complex(self):
f1 = np.array([[0, 1], [.5, .5]])
f2 = np.array([[.5, .5], [.25, .75]])
gb = meshing.cart_grid([f1, f2], [4, 4], **{"physdims": [1, 1]})
for g, _ in gb:
if g.dim == 0:
self.assertTrue(np.sum(g.tags["fracture_faces"]) == 0)
self.assertTrue(np.sum(g.tags["fracture_nodes"]) == 0)
self.assertTrue(np.sum(g.tags["tip_faces"]) == 0)
self.assertTrue(np.sum(g.tags["tip_nodes"]) == 0)
self.assertTrue(np.sum(g.tags["domain_boundary_faces"]) == 0)
self.assertTrue(np.sum(g.tags["domain_boundary_nodes"]) == 0)
if g.dim == 1 and g.nodes[1, 0] == 0.5:
known = [2, 5]
computed = np.where(g.tags["fracture_faces"])[0]
self.assertTrue(np.array_equal(known, computed))
known = [2, 3]
computed = np.where(g.tags["fracture_nodes"])[0]
self.assertTrue(np.array_equal(known, computed))
self.assertTrue(
np.array_equal(g.tags["tip_faces"], [False] * g.num_faces))
self.assertTrue(
np.array_equal(g.tags["tip_nodes"], [False] * g.num_nodes))
known = [0, 4]
computed = np.where(g.tags["domain_boundary_faces"])[0]
self.assertTrue(np.array_equal(computed, known))
known = [0, 5]
computed = np.where(g.tags["domain_boundary_nodes"])[0]
self.assertTrue(np.array_equal(computed, known))
if g.dim == 1 and g.nodes[0, 0] == 0.5:
known = [1, 3]
computed = np.where(g.tags["fracture_faces"])[0]
self.assertTrue(np.array_equal(known, computed))
known = [1, 2]
computed = np.where(g.tags["fracture_nodes"])[0]
self.assertTrue(np.array_equal(known, computed))
known = [0, 2]
computed = np.where(g.tags["tip_faces"])[0]
self.assertTrue(np.array_equal(known, computed))
known = [0, 3]
computed = np.where(g.tags["tip_nodes"])[0]
self.assertTrue(np.array_equal(known, computed))
self.assertTrue(np.sum(g.tags["domain_boundary_faces"]) == 0)
self.assertTrue(np.sum(g.tags["domain_boundary_nodes"]) == 0)
if g.dim == 2:
known = [7, 12, 28, 29, 30, 31, 40, 41, 42, 43, 44, 45]
computed = np.where(g.tags["fracture_faces"])[0]
self.assertTrue(np.array_equal(computed, known))
known = [7, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 24]
computed = np.where(g.tags["fracture_nodes"])[0]
self.assertTrue(np.array_equal(computed, known))
self.assertTrue(
np.array_equal(g.tags["tip_faces"], [False] * g.num_faces))
self.assertTrue(
np.array_equal(g.tags["tip_nodes"], [False] * g.num_nodes))
known = [
0, 4, 5, 9, 10, 14, 15, 19, 20, 21, 22, 23, 36, 37, 38, 39
]
computed = np.where(g.tags["domain_boundary_faces"])[0]
self.assertTrue(np.array_equal(computed, known))
known = [
0,
1,
2,
3,
4,
5,
9,
10,
11,
20,
21,
22,
26,
27,
28,
29,
30,
31,
]
computed = np.where(g.tags["domain_boundary_nodes"])[0]
self.assertTrue(np.array_equal(computed, known))
def test_x_intersection_2d(self):
""" Check that the faces has correct tags for a 2D grid.
"""
f_1 = np.array([[0, 2], [1, 1]])
f_2 = np.array([[1, 1], [0, 2]])
f_set = [f_1, f_2]
nx = [3, 3]
grids = meshing.cart_grid(f_set, nx, physdims=nx)
# 2D grid:
g_2d = grids.grids_of_dimension(2)[0]
f_tags_2d = np.array([
False,
True,
False,
False, # first row
False,
True,
False,
False, # Second row
False,
False,
False,
False, # third row
False,
False,
False, # Bottom column
True,
True,
False, # Second column
False,
False,
False, # Third column
False,
False,
False, # Top column
True,
True,
True,
True,
]) # Added faces
d_tags_2d = np.array([
True,
False,
False,
True, # first row
True,
False,
False,
True, # Second row
True,
False,
False,
True, # third row
True,
True,
True, # Bottom column
False,
False,
False, # Second column
False,
False,
False, # Third column
True,
True,
True, # Top column
False,
False,
False,
False,
]) # Added Faces
t_tags_2d = np.zeros(f_tags_2d.size, dtype=bool)
self.assertTrue(np.all(g_2d.tags["tip_faces"] == t_tags_2d))
self.assertTrue(np.all(g_2d.tags["fracture_faces"] == f_tags_2d))
self.assertTrue(
np.all(g_2d.tags["domain_boundary_faces"] == d_tags_2d))
# 1D grids:
for g_1d in grids.grids_of_dimension(1):
f_tags_1d = np.array([False, True, False, True])
if g_1d.face_centers[0, 0] > 0.1:
t_tags_1d = np.array([True, False, False, False])
d_tags_1d = np.array([False, False, True, False])
else:
t_tags_1d = np.array([False, False, True, False])
d_tags_1d = np.array([True, False, False, False])
self.assertTrue(np.all(g_1d.tags["tip_faces"] == t_tags_1d))
self.assertTrue(np.all(g_1d.tags["fracture_faces"] == f_tags_1d))
self.assertTrue(
np.all(g_1d.tags["domain_boundary_faces"] == d_tags_1d))
def test_mortar_grid_2d(self):
f = np.array([[0, 1, 1, 0], [0, 0, 1, 1], [0.5, 0.5, 0.5, 0.5]])
gb = meshing.cart_grid([f], [2] * 3, **{"physdims": [1] * 3})
gb.compute_geometry()
meshing.create_mortar_grids(gb)
gb.assign_node_ordering()
for e, d in gb.edges():
mg = d["mortar_grid"]
indices_known = np.array([0, 1, 2, 3, 4, 5, 6, 7])
self.assertTrue(
np.array_equal(mg.master_to_mortar_int().indices,
indices_known))
indptr_known = np.array([
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
1,
2,
3,
4,
4,
4,
4,
4,
5,
6,
7,
8,
])
self.assertTrue(
np.array_equal(mg.master_to_mortar_int().indptr, indptr_known))
data_known = np.array([1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0])
self.assertTrue(
np.array_equal(mg.master_to_mortar_int().data, data_known))
indices_known = np.array([0, 4, 1, 5, 2, 6, 3, 7])
self.assertTrue(
np.array_equal(mg.slave_to_mortar_int().indices,
indices_known))
indptr_known = np.array([0, 2, 4, 6, 8])
self.assertTrue(
np.array_equal(mg.slave_to_mortar_int().indptr, indptr_known))
data_known = np.array([1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0])
self.assertTrue(
np.array_equal(mg.slave_to_mortar_int().data, data_known))
