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rAKA/test/test_fe_engine/test_inverse_map.cc
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test_inverse_map.cc
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/**
* @file test_inverse_map.cc
*
* @author Guillaume Anciaux <guillaume.anciaux@epfl.ch>
*
* @date creation: Fri Sep 03 2010
* @date last modification: Mon Feb 19 2018
*
* @brief test of the fem class
*
*
* Copyright (©) 2010-2018 EPFL (Ecole Polytechnique Fédérale de Lausanne)
* Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
*
* Akantu is free software: you can redistribute it and/or modify it under the
* terms of the GNU Lesser General Public License as published by the Free
* Software Foundation, either version 3 of the License, or (at your option) any
* later version.
*
* Akantu is distributed in the hope that it will be useful, but WITHOUT ANY
* WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
* A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more
* details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with Akantu. If not, see <http://www.gnu.org/licenses/>.
*
*/
/* -------------------------------------------------------------------------- */
#include "test_fe_engine_fixture.hh"
/* -------------------------------------------------------------------------- */
using namespace akantu;
TYPED_TEST(TestFEMFixture, InverseMap) {
this->fem->initShapeFunctions();
Matrix<Real> quad =
GaussIntegrationElement<TestFixture::type>::getQuadraturePoints();
const auto & position = this->fem->getMesh().getNodes();
/// get the quadrature points coordinates
Array<Real> coord_on_quad(quad.cols() * this->nb_element, this->dim,
"coord_on_quad");
this->fem->interpolateOnIntegrationPoints(position, coord_on_quad, this->dim,
this->type);
Vector<Real> natural_coords(this->dim);
auto length = (this->upper - this->lower).template norm<L_inf>();
for (auto && enum_ :
enumerate(make_view(coord_on_quad, this->dim, quad.cols()))) {
auto el = std::get<0>(enum_);
const auto & quads_coords = std::get<1>(enum_);
for (auto q : arange(quad.cols())) {
Vector<Real> quad_coord = quads_coords(q);
Vector<Real> ref_quad_coord = quad(q);
this->fem->inverseMap(quad_coord, el, this->type, natural_coords);
auto dis_normalized = ref_quad_coord.distance(natural_coords) / length;
EXPECT_NEAR(0., dis_normalized, 3.5e-11);
}
}
}
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