Python Problem.set_solver方法代码示例

# 需要导入模块: from sfepy.discrete import Problem [as 别名]
# 或者: from sfepy.discrete.Problem import set_solver [as 别名]
def run(domain, order):
    omega = domain.create_region('Omega', 'all')
    bbox = domain.get_mesh_bounding_box()
    min_x, max_x = bbox[:, 0]
    min_y, max_y = bbox[:, 1]
    eps = 1e-8 * (max_x - min_x)
    gamma1 = domain.create_region('Gamma1',
                                  'vertices in (x < %.10f)' % (min_x + eps),
                                  'facet')
    gamma2 = domain.create_region('Gamma2',
                                  'vertices in (x > %.10f)' % (max_x - eps),
                                  'facet')
    gamma3 = domain.create_region('Gamma3',
                                  'vertices in y < %.10f' % (min_y + eps),
                                  'facet')
    gamma4 = domain.create_region('Gamma4',
                                  'vertices in y > %.10f' % (max_y - eps),
                                  'facet')

    field = Field.from_args('fu', nm.float64, 1, omega, approx_order=order)

    u = FieldVariable('u', 'unknown', field)
    v = FieldVariable('v', 'test', field, primary_var_name='u')

    integral = Integral('i', order=2*order)

    t1 = Term.new('dw_laplace(v, u)',
                  integral, omega, v=v, u=u)
    eq = Equation('eq', t1)
    eqs = Equations([eq])

    fix1 = EssentialBC('fix1', gamma1, {'u.0' : 0.4})
    fix2 = EssentialBC('fix2', gamma2, {'u.0' : 0.0})

    def get_shift(ts, coors, region):
        return nm.ones_like(coors[:, 0])

    dof_map_fun = Function('dof_map_fun', per.match_x_line)
    shift_fun = Function('shift_fun', get_shift)

    sper = LinearCombinationBC('sper', [gamma3, gamma4], {'u.0' : 'u.0'},
                               dof_map_fun, 'shifted_periodic',
                               arguments=(shift_fun,))

    ls = ScipyDirect({})

    pb = Problem('laplace', equations=eqs, auto_solvers=None)

    pb.time_update(ebcs=Conditions([fix1, fix2]), lcbcs=Conditions([sper]))

    ev = pb.get_evaluator()
    nls = Newton({}, lin_solver=ls,
                 fun=ev.eval_residual, fun_grad=ev.eval_tangent_matrix)

    pb.set_solver(nls)

    state = pb.solve()

    return pb, state

# 需要导入模块: from sfepy.discrete import Problem [as 别名]
# 或者: from sfepy.discrete.Problem import set_solver [as 别名]
    def test_solving(self):
        from sfepy.base.base import IndexedStruct
        from sfepy.discrete import (FieldVariable, Material, Problem, Function,
                                    Equation, Equations, Integral)
        from sfepy.discrete.conditions import Conditions, EssentialBC
        from sfepy.terms import Term
        from sfepy.solvers.ls import ScipyDirect
        from sfepy.solvers.nls import Newton
        from sfepy.mechanics.matcoefs import stiffness_from_lame

        u = FieldVariable('u', 'unknown', self.field)
        v = FieldVariable('v', 'test', self.field, primary_var_name='u')

        m = Material('m', D=stiffness_from_lame(self.dim, 1.0, 1.0))
        f = Material('f', val=[[0.02], [0.01]])

        bc_fun = Function('fix_u_fun', fix_u_fun,
                          extra_args={'extra_arg' : 'hello'})

        fix_u = EssentialBC('fix_u', self.gamma1, {'u.all' : bc_fun})
        shift_u = EssentialBC('shift_u', self.gamma2, {'u.0' : 0.1})

        integral = Integral('i', order=3)

        t1 = Term.new('dw_lin_elastic(m.D, v, u)',
                      integral, self.omega, m=m, v=v, u=u)

        t2 = Term.new('dw_volume_lvf(f.val, v)', integral, self.omega, f=f, v=v)

        eq = Equation('balance', t1 + t2)
        eqs = Equations([eq])

        ls = ScipyDirect({})

        nls_status = IndexedStruct()
        nls = Newton({}, lin_solver=ls, status=nls_status)

        pb = Problem('elasticity', equations=eqs)
        ## pb.save_regions_as_groups('regions')

        pb.set_bcs(ebcs=Conditions([fix_u, shift_u]))
        pb.set_solver(nls)

        state = pb.solve()

        name = op.join(self.options.out_dir, 'test_high_level_solving.vtk')
        pb.save_state(name, state)

        ok = nls_status.condition == 0
        if not ok:
            self.report('solver did not converge!')

        _ok = state.has_ebc()
        if not _ok:
            self.report('EBCs violated!')

        ok = ok and _ok

        return ok

# 需要导入模块: from sfepy.discrete import Problem [as 别名]
# 或者: from sfepy.discrete.Problem import set_solver [as 别名]
def solve_problem(shape, dims, young, poisson, force, transform=None):
    domain = make_domain(dims[:2], shape, transform=transform)

    omega = domain.regions['Omega']
    gamma1 = domain.regions['Gamma1']
    gamma2 = domain.regions['Gamma2']

    field = Field.from_args('fu', nm.float64, 6, omega, approx_order=1,
                            poly_space_base='shell10x')
    u = FieldVariable('u', 'unknown', field)
    v = FieldVariable('v', 'test', field, primary_var_name='u')

    thickness = dims[2]
    if transform is None:
        pload = [[0.0, 0.0, force / shape[1], 0.0, 0.0, 0.0]] * shape[1]

    elif transform == 'bend':
        pload = [[force / shape[1], 0.0, 0.0, 0.0, 0.0, 0.0]] * shape[1]

    elif transform == 'twist':
        pload = [[0.0, force / shape[1], 0.0, 0.0, 0.0, 0.0]] * shape[1]

    m = Material('m', D=sh.create_elastic_tensor(young=young, poisson=poisson),
                 values={'.drill' : 1e-7})
    load = Material('load', values={'.val' : pload})

    aux = Integral('i', order=3)
    qp_coors, qp_weights = aux.get_qp('3_8')
    qp_coors[:, 2] = thickness * (qp_coors[:, 2] - 0.5)
    qp_weights *= thickness

    integral = Integral('i', coors=qp_coors, weights=qp_weights, order='custom')

    t1 = Term.new('dw_shell10x(m.D, m.drill, v, u)',
                  integral, omega, m=m, v=v, u=u)
    t2 = Term.new('dw_point_load(load.val, v)',
                  integral, gamma2, load=load, v=v)
    eq = Equation('balance', t1 - t2)
    eqs = Equations([eq])

    fix_u = EssentialBC('fix_u', gamma1, {'u.all' : 0.0})

    ls = ScipyDirect({})

    nls_status = IndexedStruct()
    nls = Newton({}, lin_solver=ls, status=nls_status)

    pb = Problem('elasticity with shell10x', equations=eqs)
    pb.set_bcs(ebcs=Conditions([fix_u]))
    pb.set_solver(nls)

    state = pb.solve()

    return pb, state, u, gamma2

# 需要导入模块: from sfepy.discrete import Problem [as 别名]
# 或者: from sfepy.discrete.Problem import set_solver [as 别名]
def run(domain, order):
    omega = domain.create_region("Omega", "all")
    bbox = domain.get_mesh_bounding_box()
    min_x, max_x = bbox[:, 0]
    min_y, max_y = bbox[:, 1]
    eps = 1e-8 * (max_x - min_x)
    gamma1 = domain.create_region("Gamma1", "vertices in (x < %.10f)" % (min_x + eps), "facet")
    gamma2 = domain.create_region("Gamma2", "vertices in (x > %.10f)" % (max_x - eps), "facet")
    gamma3 = domain.create_region("Gamma3", "vertices in y < %.10f" % (min_y + eps), "facet")
    gamma4 = domain.create_region("Gamma4", "vertices in y > %.10f" % (max_y - eps), "facet")

    field = Field.from_args("fu", nm.float64, 1, omega, approx_order=order)

    u = FieldVariable("u", "unknown", field)
    v = FieldVariable("v", "test", field, primary_var_name="u")

    integral = Integral("i", order=2 * order)

    t1 = Term.new("dw_laplace(v, u)", integral, omega, v=v, u=u)
    eq = Equation("eq", t1)
    eqs = Equations([eq])

    fix1 = EssentialBC("fix1", gamma1, {"u.0": 0.4})
    fix2 = EssentialBC("fix2", gamma2, {"u.0": 0.0})

    def get_shift(ts, coors, region):
        return nm.ones_like(coors[:, 0])

    dof_map_fun = Function("dof_map_fun", per.match_x_line)
    shift_fun = Function("shift_fun", get_shift)

    sper = LinearCombinationBC(
        "sper", [gamma3, gamma4], {"u.0": "u.0"}, dof_map_fun, "shifted_periodic", arguments=(shift_fun,)
    )

    ls = ScipyDirect({})

    pb = Problem("laplace", equations=eqs, auto_solvers=None)

    pb.time_update(ebcs=Conditions([fix1, fix2]), lcbcs=Conditions([sper]))

    ev = pb.get_evaluator()
    nls = Newton({}, lin_solver=ls, fun=ev.eval_residual, fun_grad=ev.eval_tangent_matrix)

    pb.set_solver(nls)

    state = pb.solve()

    return pb, state

# 需要导入模块: from sfepy.discrete import Problem [as 别名]
# 或者: from sfepy.discrete.Problem import set_solver [as 别名]
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)
#.........这里部分代码省略.........

# 需要导入模块: from sfepy.discrete import Problem [as 别名]
# 或者: from sfepy.discrete.Problem import set_solver [as 别名]
def main():
    from sfepy import data_dir

    parser = ArgumentParser(description=__doc__,
                            formatter_class=RawDescriptionHelpFormatter)
    parser.add_argument('--version', action='version', version='%(prog)s')
    parser.add_argument('--young', metavar='float', type=float,
                      action='store', dest='young',
                      default=2000.0, help=helps['young'])
    parser.add_argument('--poisson', metavar='float', type=float,
                      action='store', dest='poisson',
                      default=0.4, help=helps['poisson'])
    parser.add_argument('--load', metavar='float', type=float,
                      action='store', dest='load',
                      default=-1000.0, help=helps['load'])
    parser.add_argument('--order', metavar='int', type=int,
                      action='store', dest='order',
                      default=1, help=helps['order'])
    parser.add_argument('-r', '--refine', metavar='int', type=int,
                      action='store', dest='refine',
                      default=0, help=helps['refine'])
    parser.add_argument('-s', '--show',
                      action="store_true", dest='show',
                      default=False, help=helps['show'])
    parser.add_argument('-p', '--probe',
                      action="store_true", dest='probe',
                      default=False, help=helps['probe'])
    options = parser.parse_args()

    assert_((0.0 < options.poisson < 0.5),
            "Poisson's ratio must be in ]0, 0.5[!")
    assert_((0 < options.order),
            'displacement approximation order must be at least 1!')

    output('using values:')
    output("  Young's modulus:", options.young)
    output("  Poisson's ratio:", options.poisson)
    output('  vertical load:', options.load)
    output('uniform mesh refinement level:', options.refine)

    # Build the problem definition.
    mesh = Mesh.from_file(data_dir + '/meshes/2d/its2D.mesh')
    domain = FEDomain('domain', mesh)

    if options.refine > 0:
        for ii in range(options.refine):
            output('refine %d...' % ii)
            domain = domain.refine()
            output('... %d nodes %d elements'
                   % (domain.shape.n_nod, domain.shape.n_el))

    omega = domain.create_region('Omega', 'all')
    left = domain.create_region('Left',
                                'vertices in x < 0.001', 'facet')
    bottom = domain.create_region('Bottom',
                                  'vertices in y < 0.001', 'facet')
    top = domain.create_region('Top', 'vertex 2', 'vertex')

    field = Field.from_args('fu', nm.float64, 'vector', omega,
                            approx_order=options.order)

    u = FieldVariable('u', 'unknown', field)
    v = FieldVariable('v', 'test', field, primary_var_name='u')

    D = stiffness_from_youngpoisson(2, options.young, options.poisson)

    asphalt = Material('Asphalt', D=D)
    load = Material('Load', values={'.val' : [0.0, options.load]})

    integral = Integral('i', order=2*options.order)
    integral0 = Integral('i', order=0)

    t1 = Term.new('dw_lin_elastic(Asphalt.D, v, u)',
                  integral, omega, Asphalt=asphalt, v=v, u=u)
    t2 = Term.new('dw_point_load(Load.val, v)',
                  integral0, top, Load=load, v=v)
    eq = Equation('balance', t1 - t2)
    eqs = Equations([eq])

    xsym = EssentialBC('XSym', bottom, {'u.1' : 0.0})
    ysym = EssentialBC('YSym', left, {'u.0' : 0.0})

    ls = AutoDirect({})

    nls_status = IndexedStruct()
    nls = Newton({}, lin_solver=ls, status=nls_status)

    pb = Problem('elasticity', equations=eqs)

    pb.set_bcs(ebcs=Conditions([xsym, ysym]))

    pb.set_solver(nls)

    # Solve the problem.
    state = pb.solve()
    output(nls_status)

    # Postprocess the solution.
    out = state.create_output_dict()
    out = stress_strain(out, pb, state, extend=True)
#.........这里部分代码省略.........

# 需要导入模块: from sfepy.discrete import Problem [as 别名]
# 或者: from sfepy.discrete.Problem import set_solver [as 别名]

#.........这里部分代码省略.........
                        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)

    pb.set_bcs(ebcs=Conditions([fix1, fix2]))

    pb.set_solver(nls)

    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))

# 需要导入模块: from sfepy.discrete import Problem [as 别名]
# 或者: from sfepy.discrete.Problem import set_solver [as 别名]
    def _solve(self, property_array):
        """
        Solve the Sfepy problem for one sample.

        Args:
          property_array: array of shape (n_x, n_y, 2) where the last
          index is for Lame's parameter and shear modulus,
          respectively.

        Returns:
          the strain field of shape (n_x, n_y, 2) where the last
          index represents the x and y displacements

        """
        shape = property_array.shape[:-1]
        mesh = self._get_mesh(shape)
        domain = Domain('domain', mesh)

        region_all = domain.create_region('region_all', 'all')

        field = Field.from_args('fu', np.float64, 'vector', region_all, # pylint: disable=no-member
                                approx_order=2)

        u = FieldVariable('u', 'unknown', field)
        v = FieldVariable('v', 'test', field, primary_var_name='u')

        m = self._get_material(property_array, domain)

        integral = Integral('i', order=4)

        t1 = Term.new('dw_lin_elastic_iso(m.lam, m.mu, v, u)',
                      integral, region_all, m=m, v=v, u=u)
        eq = Equation('balance_of_forces', t1)
        eqs = Equations([eq])

        epbcs, functions = self._get_periodicBCs(domain)
        ebcs = self._get_displacementBCs(domain)
        lcbcs = self._get_linear_combinationBCs(domain)

        ls = ScipyDirect({})

        pb = Problem('elasticity', equations=eqs, auto_solvers=None)

        pb.time_update(
            ebcs=ebcs, epbcs=epbcs, lcbcs=lcbcs, functions=functions)

        ev = pb.get_evaluator()
        nls = Newton({}, lin_solver=ls,
                     fun=ev.eval_residual, fun_grad=ev.eval_tangent_matrix)

        try:
            pb.set_solvers_instances(ls, nls)
        except AttributeError:
            pb.set_solver(nls)

        vec = pb.solve()

        u = vec.create_output_dict()['u'].data
        u_reshape = np.reshape(u, (tuple(x + 1 for x in shape) + u.shape[-1:]))

        dims = domain.get_mesh_bounding_box().shape[1]
        strain = np.squeeze(
            pb.evaluate(
                'ev_cauchy_strain.{dim}.region_all(u)'.format(
                    dim=dims),
                mode='el_avg',
                copy_materials=False))
        strain_reshape = np.reshape(strain, (shape + strain.shape[-1:]))

        stress = np.squeeze(
            pb.evaluate(
                'ev_cauchy_stress.{dim}.region_all(m.D, u)'.format(
                    dim=dims),
                mode='el_avg',
                copy_materials=False))
        stress_reshape = np.reshape(stress, (shape + stress.shape[-1:]))

        return strain_reshape, u_reshape, stress_reshape

# 需要导入模块: from sfepy.discrete import Problem [as 别名]
# 或者: from sfepy.discrete.Problem import set_solver [as 别名]
def main():
    from sfepy import data_dir

    parser = ArgumentParser()
    parser.add_argument('--version', action='version', version='%(prog)s')
    parser.add_argument('-s', '--show',
                        action="store_true", dest='show',
                        default=False, help=helps['show'])
    options = parser.parse_args()

    mesh = Mesh.from_file(data_dir + '/meshes/2d/rectangle_tri.mesh')
    domain = FEDomain('domain', mesh)

    min_x, max_x = domain.get_mesh_bounding_box()[:,0]
    eps = 1e-8 * (max_x - min_x)
    omega = domain.create_region('Omega', 'all')
    gamma1 = domain.create_region('Gamma1',
                                  'vertices in x < %.10f' % (min_x + eps),
                                  'facet')
    gamma2 = domain.create_region('Gamma2',
                                  'vertices in x > %.10f' % (max_x - eps),
                                  'facet')

    field = Field.from_args('fu', nm.float64, 'vector', omega,
                            approx_order=2)

    u = FieldVariable('u', 'unknown', field)
    v = FieldVariable('v', 'test', field, primary_var_name='u')

    m = Material('m', D=stiffness_from_lame(dim=2, lam=1.0, mu=1.0))
    f = Material('f', val=[[0.02], [0.01]])

    integral = Integral('i', order=3)

    t1 = Term.new('dw_lin_elastic(m.D, v, u)',
                  integral, omega, m=m, v=v, u=u)
    t2 = Term.new('dw_volume_lvf(f.val, v)', integral, omega, f=f, v=v)
    eq = Equation('balance', t1 + t2)
    eqs = Equations([eq])

    fix_u = EssentialBC('fix_u', gamma1, {'u.all' : 0.0})

    bc_fun = Function('shift_u_fun', shift_u_fun,
                      extra_args={'shift' : 0.01})
    shift_u = EssentialBC('shift_u', gamma2, {'u.0' : bc_fun})

    ls = ScipyDirect({})

    nls_status = IndexedStruct()
    nls = Newton({}, lin_solver=ls, status=nls_status)

    pb = Problem('elasticity', equations=eqs)
    pb.save_regions_as_groups('regions')

    pb.set_bcs(ebcs=Conditions([fix_u, shift_u]))

    pb.set_solver(nls)

    status = IndexedStruct()
    state = pb.solve(status=status)

    print('Nonlinear solver status:\n', nls_status)
    print('Stationary solver status:\n', status)

    pb.save_state('linear_elasticity.vtk', state)

    if options.show:
        view = Viewer('linear_elasticity.vtk')
        view(vector_mode='warp_norm', rel_scaling=2,
             is_scalar_bar=True, is_wireframe=True)

# 需要导入模块: from sfepy.discrete import Problem [as 别名]
# 或者: from sfepy.discrete.Problem import set_solver [as 别名]
def main():
    from sfepy import data_dir

    parser = ArgumentParser(description=__doc__,
                            formatter_class=RawDescriptionHelpFormatter)
    parser.add_argument('--version', action='version', version='%(prog)s')
    parser.add_argument('--diffusivity', metavar='float', type=float,
                        action='store', dest='diffusivity',
                        default=1e-5, help=helps['diffusivity'])
    parser.add_argument('--ic-max', metavar='float', type=float,
                        action='store', dest='ic_max',
                        default=2.0, help=helps['ic_max'])
    parser.add_argument('--order', metavar='int', type=int,
                        action='store', dest='order',
                        default=2, help=helps['order'])
    parser.add_argument('-r', '--refine', metavar='int', type=int,
                        action='store', dest='refine',
                        default=0, help=helps['refine'])
    parser.add_argument('-p', '--probe',
                        action="store_true", dest='probe',
                        default=False, help=helps['probe'])
    parser.add_argument('-s', '--show',
                        action="store_true", dest='show',
                        default=False, help=helps['show'])
    options = parser.parse_args()

    assert_((0 < options.order),
            'temperature approximation order must be at least 1!')

    output('using values:')
    output('  diffusivity:', options.diffusivity)
    output('  max. IC value:', options.ic_max)
    output('uniform mesh refinement level:', options.refine)

    mesh = Mesh.from_file(data_dir + '/meshes/3d/cylinder.mesh')
    domain = FEDomain('domain', mesh)

    if options.refine > 0:
        for ii in range(options.refine):
            output('refine %d...' % ii)
            domain = domain.refine()
            output('... %d nodes %d elements'
                   % (domain.shape.n_nod, domain.shape.n_el))

    omega = domain.create_region('Omega', 'all')
    left = domain.create_region('Left',
                                'vertices in x < 0.00001', 'facet')
    right = domain.create_region('Right',
                                 'vertices in x > 0.099999', 'facet')

    field = Field.from_args('fu', nm.float64, 'scalar', omega,
                            approx_order=options.order)

    T = FieldVariable('T', 'unknown', field, history=1)
    s = FieldVariable('s', 'test', field, primary_var_name='T')

    m = Material('m', diffusivity=options.diffusivity * nm.eye(3))

    integral = Integral('i', order=2*options.order)

    t1 = Term.new('dw_diffusion(m.diffusivity, s, T)',
                  integral, omega, m=m, s=s, T=T)
    t2 = Term.new('dw_volume_dot(s, dT/dt)',
                  integral, omega, s=s, T=T)
    eq = Equation('balance', t1 + t2)
    eqs = Equations([eq])

    # Boundary conditions.
    ebc1 = EssentialBC('T1', left, {'T.0' : 2.0})
    ebc2 = EssentialBC('T2', right, {'T.0' : -2.0})

    # Initial conditions.
    def get_ic(coors, ic):
        x, y, z = coors.T
        return 2 - 40.0 * x + options.ic_max * nm.sin(4 * nm.pi * x / 0.1)
    ic_fun = Function('ic_fun', get_ic)
    ic = InitialCondition('ic', omega, {'T.0' : ic_fun})

    pb = Problem('heat', equations=eqs)
    pb.set_bcs(ebcs=Conditions([ebc1, ebc2]))
    pb.set_ics(Conditions([ic]))

    state0 = pb.get_initial_state()
    init_fun, prestep_fun, _poststep_fun = pb.get_tss_functions(state0)

    ls = ScipyDirect({})
    nls_status = IndexedStruct()
    nls = Newton({'is_linear' : True}, lin_solver=ls, status=nls_status)
    tss = SimpleTimeSteppingSolver({'t0' : 0.0, 't1' : 100.0, 'n_step' : 11},
                                   nls=nls, context=pb, verbose=True)
    pb.set_solver(tss)

    if options.probe:
        # Prepare probe data.
        probes, labels = gen_probes(pb)

        ev = pb.evaluate
        order = 2 * (options.order - 1)

        gfield = Field.from_args('gu', nm.float64, 'vector', omega,
#.........这里部分代码省略.........