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elastic_energy_functional.cpp
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elastic_energy_functional.cpp

/**
*
* @author Lucas Frérot <lucas.frerot@epfl.ch>
* @author Guillaume Anciaux <guillaume.anciaux@epfl.ch>
*
* @section LICENSE
*
* Copyright (©) 2016 EPFL (Ecole Polytechnique Fédérale de
* Lausanne) Laboratory (LSMS - Laboratoire de Simulation en Mécanique des
* Solides)
*
* Tamaas 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.
*
* Tamaas 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 Tamaas. If not, see <http://www.gnu.org/licenses/>.
*
*/
/* -------------------------------------------------------------------------- */
#include "elastic_energy_functional.hh"
#include "surface_statistics.hh"
#include "bem_fft_base.hh"
__BEGIN_TAMAAS__
ElasticEnergyFunctional::ElasticEnergyFunctional(BemFFTBase & bem):
Functional(bem)
{}
ElasticEnergyFunctional::~ElasticEnergyFunctional()
{}
void ElasticEnergyFunctional::computeF() {
const Surface<Real> & surface = bem.getSurface();
const Surface<Real> & displacements = bem.getDisplacements();
const Surface<Real> & tractions = bem.getTractions();
UInt n = surface.size();
UInt size = n*n;
Real res = 0;
Real d_max = SurfaceStatistics::computeMaximum(displacements);
Real t_sum = std::abs(SurfaceStatistics::computeSum(tractions));
Real s_max = SurfaceStatistics::computeMaximum(surface);
#pragma omp parallel for reduction(+:res)
for (UInt i = 0; i < size; ++i) {
res += std::abs(tractions(i) * (displacements(i)-d_max-surface(i)+s_max));
// res +=
// this->surface_tractions[i].real()
// *(surface_displacements[i].real() - surface[i].real());
}
this->F = res/std::abs(t_sum);
}
void ElasticEnergyFunctional::computeGradF() {
const Surface<Real> & surface = bem.getSurface();
const Surface<Real> & displacements = bem.getDisplacements();
UInt n = surface.size();
UInt size = n*n;
#pragma omp parallel for
for (UInt i = 0; i < size; ++i) {
this->gradF(i) =
displacements(i) - surface(i);
}
}
__END_TAMAAS__

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