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/* This file is part of the OpenLB library
*
* Copyright (C) 2018 Adrian Kummerlaender
* E-mail contact: info@openlb.net
* The most recent release of OpenLB can be downloaded at
* <http://www.openlb.net/>
*
* This program 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 2
* of the License, or (at your option) any later version.
*
* This program 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 this program; if not, write to the Free
* Software Foundation, Inc., 51 Franklin Street, Fifth Floor,
* Boston, MA 02110-1301, USA.
*/
#ifndef BLOCK_LATTICE_REFINEMENT_METRIC_F_2D_HH
#define BLOCK_LATTICE_REFINEMENT_METRIC_F_2D_HH
#include "blockLatticeRefinementMetricF2D.h"
#include "dynamics/lbHelpers.h"
namespace olb {
template<typename T, typename DESCRIPTOR>
BlockLatticeKnudsen2D<T, DESCRIPTOR>::BlockLatticeKnudsen2D(
BlockLatticeStructure2D<T, DESCRIPTOR>& blockLattice)
: BlockLatticeF2D<T, DESCRIPTOR>(blockLattice, 1)
{
this->getName() = "knudsen";
}
template<typename T, typename DESCRIPTOR>
bool BlockLatticeKnudsen2D<T, DESCRIPTOR>::operator()(T output[], const int input[])
{
if (input[0] < 0 || input[1] < 0 || input[0] >= this->_blockLattice.getNx() || input[1] >= this->_blockLattice.getNy()) {
return false;
}
const auto& cell = this->_blockLattice.get(input[0], input[1]);
T rho = { };
T u[2] = { };
cell.computeRhoU(rho, u);
const T uSqr = u[0]*u[0] + u[1]*u[1];
T sum = 0.;
for (int iPop = 0; iPop < DESCRIPTOR::q; ++iPop) {
const T fEq = olb::lbHelpers<T, DESCRIPTOR>::equilibrium(iPop, rho, u, uSqr);
sum += std::abs((cell[iPop] - fEq) / (fEq + descriptors::t<T,DESCRIPTOR>(iPop)));
}
output[0] = sum / (DESCRIPTOR::q);
return true;
}
template<typename T, typename DESCRIPTOR>
BlockLatticeRefinementMetricKnudsen2D<T, DESCRIPTOR>::BlockLatticeRefinementMetricKnudsen2D(
BlockLatticeStructure2D<T, DESCRIPTOR>& blockLattice,
const UnitConverter<T, DESCRIPTOR>& converter)
: BlockLatticeKnudsen2D<T, DESCRIPTOR>(blockLattice),
_knudsen(converter.getKnudsenNumber())
{
this->getName() = "refinementMetricKnudsen";
}
template<typename T, typename DESCRIPTOR>
bool BlockLatticeRefinementMetricKnudsen2D<T, DESCRIPTOR>::operator()(T output[])
{
const std::size_t cellCount = this->_blockLattice.getNx() * this->_blockLattice.getNy();
T blockSum = 0.;
T localOutput[1] = { };
int localInput[2] = { };
for (localInput[0] = 0; localInput[0] < this->_blockLattice.getNx(); ++localInput[0]) {
for (localInput[1] = 0; localInput[1] < this->_blockLattice.getNy(); ++localInput[1]) {
BlockLatticeKnudsen2D<T, DESCRIPTOR>::operator()(localOutput, localInput);
blockSum += localOutput[0];
}
}
const T blockC = blockSum / cellCount;
output[0] = std::nearbyint(std::log2(blockC / _knudsen));
if ( output[0] <= 0. || blockC <= 0. ) {
output[0] = 0.;
}
return true;
}
template<typename T, typename DESCRIPTOR>
bool BlockLatticeRefinementMetricKnudsen2D<T, DESCRIPTOR>::operator()(
T output[], const int input[])
{
T measuredKnudsen[1] { };
BlockLatticeKnudsen2D<T, DESCRIPTOR>::operator()(measuredKnudsen, input);
output[0] = std::nearbyint(std::log2(measuredKnudsen[0] / _knudsen));
if ( output[0] <= 0. || measuredKnudsen[0] <= 0. ) {
output[0] = 0.;
}
return true;
}
}
#endif
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