Exemple #1
0
            new_fields = list()
            # 1 field per component of U, Sigma and Epsilon
            for component in field.split():
                per_field = periodicity.PeriodicExpr(component,
                                                     rve_geo.gen_vect,
                                                     degree=3)
                new_fields.append(per_field)
            localztn_expr[key][updated_key2].append(new_fields)
function_spaces = {"u": model.displ_fspace, "eps": model.strain_fspace}
scalar_fspace = model.scalar_fspace

fe.parameters["allow_extrapolation"] = True
reconstr_sol = full_scale_pb.reconstruction(
    localztn_expr,
    macro_fields,
    function_spaces,
    trunc_order=2,
    output_request=("eps", "u"),
)

with fe.XDMFFile(str(results_file)) as f_out:
    data = [
        (reconstr_sol["u"], "disp_reconstruction",
         "displacement reconstruction"),
        (reconstr_sol["eps"], "strain_reconstruction",
         "strain reconstruction"),
        (fe.project(macro_fields["U"][0],
                    scalar_fspace), "disp_macro", "disp_macro"),
        (
            fe.project(macro_fields["E"][0], scalar_fspace),
            "strain_macro",
Exemple #2
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def test_reconstruction_vectors():
    logger = logging.getLogger("test_reconstruction")
    nb_x = nb_y = 30
    L_x = 2 * fe.pi
    L_y = 2 * fe.pi
    mesh = fe.RectangleMesh(fe.Point(0, -L_y / 2), fe.Point(L_x, L_y / 2),
                            nb_x, nb_y)
    elem_type = "CG"
    degree = 2
    displ_fspace = fe.VectorFunctionSpace(mesh, elem_type, degree)
    strain_fspace = fe.FunctionSpace(
        mesh, fe.VectorElement(elem_type, mesh.ufl_cell(), degree, dim=3))
    scalar_fspace = fe.FunctionSpace(
        mesh, fe.FiniteElement(elem_type, mesh.ufl_cell(), degree))

    macro_fields = {
        "U": [fe.Expression("0.5*x[0]", degree=1), 0],
        "E": [fe.Expression("0.5", degree=0), 0, 0],
    }
    localization_tensors = {
        "U": {
            "u": [
                fe.interpolate(fe.Constant((1.0, 0.0)), displ_fspace).split(),
                fe.interpolate(fe.Constant((0.0, 1.0)), displ_fspace).split(),
            ]
        },
        "E": {
            "u": [
                [
                    fe.Expression("cos(x[0])", degree=2),
                    fe.Expression("sin(x[1])", degree=2),
                ],
                [],
                [],
            ],
            "eps": [
                [
                    fe.Expression("1-sin(x[0])", degree=2),
                    fe.Expression("cos(x[1])", degree=2),
                    fe.Constant(value=0),
                ],
                [],
                [],
            ],
        },
    }
    function_spaces = {"u": displ_fspace, "eps": strain_fspace}
    exact_sol = {
        "u":
        fe.project(
            fe.Expression(("0.5*x[0] + 0.5*cos(x[0])", "0.5*sin(x[1])"),
                          degree=2),
            displ_fspace,
        ),
        "eps":
        fe.project(
            fe.Expression((" 0.5 - 0.5*sin(x[0])", "0.5*cos(x[1])", "0"),
                          degree=2),
            strain_fspace,
        ),
    }
    reconstr_sol = fsp.reconstruction(localization_tensors,
                                      macro_fields,
                                      function_spaces,
                                      trunc_order=1)
    results_file_path = Path(__file__).with_name("test_reconstruction.xdmf")
    with fe.XDMFFile(str(results_file_path)) as results_file:
        data = [
            (exact_sol["u"], "disp_exact", "exact displacement"),
            (exact_sol["eps"], "strain_exact", "exact strain"),
            (reconstr_sol["u"], "disp_reconstruction",
             "displacement reconstruction"),
            (reconstr_sol["eps"], "strain_reconstruction",
             "strain reconstruction"),
            (
                fe.project(macro_fields["U"][0], scalar_fspace),
                "disp_macro",
                "disp_macro",
            ),
            (
                fe.project(macro_fields["E"][0], scalar_fspace),
                "strain_macro",
                "strain_macro",
            ),
        ]
        results_file.parameters["flush_output"] = False
        results_file.parameters["functions_share_mesh"] = True
        for field, name, descrpt in data:
            field.rename(name, descrpt)
            results_file.write(field, 0.0)
    for f_name in reconstr_sol.keys():
        dim = exact_sol[f_name].ufl_shape[0]
        exact_norm = fe.norm(exact_sol[f_name], "L2", mesh)
        difference = fe.errornorm(exact_sol[f_name],
                                  reconstr_sol[f_name],
                                  "L2",
                                  mesh=mesh)
        error = difference / exact_norm
        logger.debug(f"Relative error for {f_name} = {error}")
        # * ref: Relative errors for u = 3.504e-15; for eps = 2.844e-16
        assert error == approx(0.0, abs=1e-13)
Exemple #3
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def test_select_solver():
    """The solver Mumps is selected."""
    logger = logging.getLogger("test_reconstruction")
    nb_x = nb_y = 20
    L_x = 2
    L_y = 2
    mesh = fe.RectangleMesh(fe.Point(-L_x / 2, -L_y / 2),
                            fe.Point(L_x / 2, L_y / 2), nb_x, nb_y)

    class PeriodicDomain(fe.SubDomain):
        def __init__(self, tolerance=fe.DOLFIN_EPS):
            """ vertices stores the coordinates of the 4 unit cell corners"""
            fe.SubDomain.__init__(self, tolerance)
            self.tol = tolerance

        def inside(self, x, on_boundary):
            Bottom = fe.near(x[1], -L_y / 2, self.tol)
            return Bottom and on_boundary

        def map(self, x, y):
            SlaveT = fe.near(x[1], L_y / 2.0, self.tol)
            if SlaveT:
                for i in range(len(x[:])):
                    y[i] = (x[i] - L_y) if i == 1 else x[i]
            else:
                for i in range(len(x[:])):
                    y[i] = 1000.0 * (L_x + L_y)

    pbc = PeriodicDomain()
    scalar_fspace = fe.FunctionSpace(mesh,
                                     fe.FiniteElement("CG", mesh.ufl_cell(),
                                                      2),
                                     constrained_domain=pbc)
    macro_fields = {
        "U": [fe.Expression("0.5*x[0]+x[1]", degree=1)],
        "E": [fe.Expression("0.5", degree=0),
              fe.Expression("1", degree=0)],
    }
    localization_tensors = {
        "U": {
            "u": [[fe.interpolate(fe.Constant(1.0), scalar_fspace)]]
        },
        "E": {
            "u": [[fe.Expression("x[1]", degree=2)],
                  [fe.Expression("x[0]", degree=2)]]
        },
    }
    function_spaces = {"u": scalar_fspace}
    localization_rules = {"u": [("U", "U"), ("E", "E")]}
    exact_sol = fe.project(
        fe.Expression("0.5*x[0] + x[1] + 0.5*x[1] + 1.*x[0]", degree=2),
        scalar_fspace)

    reconstr_sol = fsp.reconstruction(
        localization_tensors,
        macro_fields,
        function_spaces,
        localization_rules=localization_rules,
        output_request=("u", ),
        proj_solver="mumps",
    )
    reconstr_sol = reconstr_sol["u"]
    exact_norm = fe.norm(exact_sol, "L2", mesh)
    difference = fe.errornorm(exact_sol, reconstr_sol, "L2", mesh=mesh)
    error = difference / exact_norm
    logger.debug(f"Relative error = {error}")  # * ref: 3.2625e-15
    # ! Problème ! Erreur lors du test !!! 17/11/2021
    assert error == approx(0.0, abs=1e-14)
Exemple #4
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def test_reconstruction_with_constraint():
    logger = logging.getLogger("test_reconstruction")
    nb_x = nb_y = 20
    L_x = 2
    L_y = 2
    mesh = fe.RectangleMesh(fe.Point(-L_x / 2, -L_y / 2),
                            fe.Point(L_x / 2, L_y / 2), nb_x, nb_y)

    class PeriodicDomain(fe.SubDomain):
        # ? Source : https://comet-fenics.readthedocs.io/en/latest/demo/periodic_homog_elas/periodic_homog_elas.html
        def __init__(self, tolerance=fe.DOLFIN_EPS):
            """ vertices stores the coordinates of the 4 unit cell corners"""
            fe.SubDomain.__init__(self, tolerance)
            self.tol = tolerance

        def inside(self, x, on_boundary):
            Bottom = fe.near(x[1], -L_y / 2, self.tol)
            return Bottom and on_boundary

        def map(self, x, y):
            SlaveT = fe.near(x[1], L_y / 2.0, self.tol)
            if SlaveT:
                for i in range(len(x[:])):
                    y[i] = (x[i] - L_y) if i == 1 else x[i]
            else:
                for i in range(len(x[:])):
                    y[i] = 1000.0 * (L_x + L_y)

    pbc = PeriodicDomain()
    elem_type = "CG"
    degree = 2
    scalar_fspace = fe.FunctionSpace(
        mesh,
        fe.FiniteElement(elem_type, mesh.ufl_cell(), degree),
        constrained_domain=pbc,
    )

    macro_fields = {
        "U": [fe.Expression("0.5*x[0]+x[1]", degree=1)],
        "E": [fe.Expression("0.5", degree=0),
              fe.Expression("1", degree=0)],
    }
    localization_tensors = {
        "U": {
            "u": [[fe.interpolate(fe.Constant(1.0), scalar_fspace)]]
        },
        "E": {
            "u": [[fe.Expression("x[1]", degree=2)],
                  [fe.Expression("x[0]", degree=2)]]
        },
    }
    function_spaces = {"u": scalar_fspace}
    localization_rules = {"u": [("U", "U"), ("E", "E")]}

    exact_sol = fe.project(
        fe.Expression("0.5*x[0] + x[1] + 0.5*x[1] + 1.*x[0]", degree=2),
        scalar_fspace)

    reconstr_sol = fsp.reconstruction(
        localization_tensors,
        macro_fields,
        function_spaces,
        localization_rules=localization_rules,
        output_request=("u", ),
    )
    reconstr_sol = reconstr_sol["u"]
    results_file_path = Path(__file__).with_name(
        "test_reconstruction_constraint.xdmf")
    with fe.XDMFFile(str(results_file_path)) as results_file:
        data = [
            (exact_sol, "sol_exact", "exact solution field"),
            (reconstr_sol, "sol_reconstructed",
             "reconstructed solution field"),
        ]
        results_file.parameters["flush_output"] = False
        results_file.parameters["functions_share_mesh"] = True
        for field, name, descrpt in data:
            field.rename(name, descrpt)
            results_file.write(field, 0.0)
    exact_norm = fe.norm(exact_sol, "L2", mesh)
    difference = fe.errornorm(exact_sol, reconstr_sol, "L2", mesh=mesh)
    error = difference / exact_norm
    logger.debug(f"Relative error = {error}")  # * ref: 3.2625e-15
    assert error == approx(0.0, abs=1e-14)