opm-simulators/tests/test_anisotropiceikonal.cpp

98 lines
3.0 KiB
C++

/*
Copyright 2014 SINTEF ICT, Applied Mathematics.
This file is part of the Open Porous Media project (OPM).
OPM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
OPM 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 General Public License for more details.
You should have received a copy of the GNU General Public License
along with OPM. If not, see <http://www.gnu.org/licenses/>.
*/
#include <config.h>
#define NVERBOSE // to suppress our messages when throwing
#define BOOST_TEST_MODULE AnisotropicEikonalTest
#include <opm/common/utility/platform_dependent/disable_warnings.h>
#include <boost/test/unit_test.hpp>
#include <opm/common/utility/platform_dependent/reenable_warnings.h>
#include <opm/core/flowdiagnostics/AnisotropicEikonal.hpp>
#include <opm/grid/GridManager.hpp>
#include <opm/grid/UnstructuredGrid.h>
#include <cmath>
using namespace Opm;
#if BOOST_HEAP_AVAILABLE
BOOST_AUTO_TEST_CASE(cartesian_2d_a)
{
const GridManager gm(2, 2);
const UnstructuredGrid& grid = *gm.c_grid();
AnisotropicEikonal2d ae(grid);
const std::vector<double> metric = {
1, 0, 0, 1,
1, 0, 0, 1,
1, 0, 0, 1,
1, 0, 0, 1
};
BOOST_REQUIRE_EQUAL(metric.size(), grid.number_of_cells*grid.dimensions*grid.dimensions);
const std::vector<int> start = { 0 };
std::vector<double> sol;
ae.solve(metric.data(), start, sol);
BOOST_REQUIRE(!sol.empty());
BOOST_CHECK_EQUAL(sol.size(), grid.number_of_cells);
std::vector<double> truth = { 0, 1, 1, std::sqrt(2) };
BOOST_CHECK_EQUAL_COLLECTIONS(sol.begin(), sol.end(), truth.begin(), truth.end());
}
BOOST_AUTO_TEST_CASE(cartesian_2d_b)
{
const GridManager gm(3, 2, 1.0, 2.0);
const UnstructuredGrid& grid = *gm.c_grid();
AnisotropicEikonal2d ae(grid);
const std::vector<double> metric = {
1, 0, 0, 1,
1, 0, 0, 1,
1, 0, 0, 1,
1, 0, 0, 1,
1, 0, 0, 1,
1, 0, 0, 1
};
BOOST_REQUIRE_EQUAL(metric.size(), grid.number_of_cells*grid.dimensions*grid.dimensions);
const std::vector<int> start = { 0 };
std::vector<double> sol;
ae.solve(metric.data(), start, sol);
BOOST_REQUIRE(!sol.empty());
BOOST_CHECK_EQUAL(sol.size(), grid.number_of_cells);
// The test below works as a regression test, but does not test
// that cell 5 is close to the truth, which is sqrt(8).
std::vector<double> expected = { 0, 1, 2, 2, std::sqrt(5), 3.0222193552572132 };
for (int cell = 0; cell < grid.number_of_cells; ++cell) {
BOOST_CHECK_CLOSE(sol[cell], expected[cell], 1e-5);
}
}
#else // BOOST_HEAP_AVAILABLE is false
BOOST_AUTO_TEST_CASE(dummy)
{
BOOST_CHECK(true);
}
#endif // BOOST_HEAP_AVAILABLE