Esempio n. 1
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    def get_physical_qps(self):
        """
        Get physical quadrature points corresponding to the term region
        and integral.
        """
        from sfepy.discrete.fem.mappings import get_physical_qps, PhysicalQPs

        if self.integration == 'point':
            phys_qps = PhysicalQPs(self.region.igs)

        elif self.integration == 'plate':
            phys_qps = get_physical_qps(self.region, self.integral,
                                        map_kind='v')

        else:
            phys_qps = get_physical_qps(self.region, self.integral)

        return phys_qps
Esempio n. 2
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def eval_non_local_interaction(problem, region_name, var_name,
                               integral_name, f1, f2, kernel_function):
    """
    Single element group only!
    """
    var = problem.get_variables()[var_name]

    region = problem.domain.regions[region_name]

    integral = problem.integrals[integral_name]

    qps = get_physical_qps(region, integral)
    igs = qps.values.keys()

    ig = igs[0]
    qp = qps.values[ig]

    n_el, n_qp = f1.shape[:2]

    vg, _ = var.get_mapping(ig, region, integral, 'volume')

    # Weighted jacobian.
    det = vg.det

    shape = (n_el * n_qp, 1, 1)

    val1 = f1 * det
    val2 = f2 * det

    val1.shape = shape
    val2.shape = shape

    coef = nm.zeros(shape, dtype=val1.dtype)

    for ii, coor in enumerate(qp):
        ## tt = time.clock()
        kernel = kernel_function(coor, qp)
        kernel.shape = val2.shape
        ## print'aa',   time.clock() - tt

        ## tt = time.clock()
        coef[ii] = (kernel * val2).sum()
        ## print 'bb', time.clock() - tt

    val = (val1 * coef).sum()

    return val
Esempio n. 3
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def eval_non_local_interaction(problem, region_name, var_name, integral_name,
                               f1, f2, kernel_function):
    """
    Single element group only!
    """
    var = problem.get_variables()[var_name]

    region = problem.domain.regions[region_name]

    integral = problem.integrals[integral_name]

    qps = get_physical_qps(region, integral)
    igs = qps.values.keys()

    ig = igs[0]
    qp = qps.values[ig]

    n_el, n_qp = f1.shape[:2]

    vg, _ = var.get_mapping(ig, region, integral, 'volume')

    # Weighted jacobian.
    det = vg.det

    shape = (n_el * n_qp, 1, 1)

    val1 = f1 * det
    val2 = f2 * det

    val1.shape = shape
    val2.shape = shape

    coef = nm.zeros(shape, dtype=val1.dtype)

    for ii, coor in enumerate(qp):
        ## tt = time.clock()
        kernel = kernel_function(coor, qp)
        kernel.shape = val2.shape
        ## print'aa',   time.clock() - tt

        ## tt = time.clock()
        coef[ii] = (kernel * val2).sum()
        ## print 'bb', time.clock() - tt

    val = (val1 * coef).sum()

    return val
Esempio n. 4
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    def test_invariance_qp(self):
        from sfepy import data_dir
        from sfepy.discrete import Variables, Integral
        from sfepy.discrete.fem import Mesh, Domain, Field
        from sfepy.terms import Term
        from sfepy.discrete.fem.mappings import get_physical_qps

        mesh = Mesh('source mesh', data_dir + '/meshes/3d/block.mesh')

        bbox = mesh.get_bounding_box()
        dd = bbox[1,:] - bbox[0,:]
        data = nm.sin(4.0 * nm.pi * mesh.coors[:,0:1] / dd[0]) \
               * nm.cos(4.0 * nm.pi * mesh.coors[:,1:2] / dd[1])

        variables = {
            'u'       : ('unknown field', 'scalar_tp', 0),
            'v'       : ('test field',    'scalar_tp', 'u'),
        }

        domain = Domain('domain', mesh)
        omega = domain.create_region('Omega', 'all')
        field = Field.from_args('scalar_tp', nm.float64, 1, omega,
                                approx_order=1)
        ff = {field.name : field}

        vv = Variables.from_conf(transform_variables(variables), ff)
        u = vv['u']
        u.set_from_mesh_vertices(data)

        integral = Integral('i', order=2)
        term = Term.new('ev_volume_integrate(u)', integral, omega, u=u)
        term.setup()
        val1, _ = term.evaluate(mode='qp')
        val1 = val1.ravel()

        qps = get_physical_qps(omega, integral)
        coors = qps.get_merged_values()

        val2 = u.evaluate_at(coors).ravel()

        self.report('max. difference:', nm.abs(val1 - val2).max())
        ok = nm.allclose(val1, val2, rtol=0.0, atol=1e-12)
        self.report('invariance in qp: %s' % ok)

        return ok