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tamaas/src/adhesion_functional.cpp
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adhesion_functional.cpp
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/**
*
* @author Lucas Frérot <lucas.frerot@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 "adhesion_functional.hh"
#include <cmath>
/* -------------------------------------------------------------------------- */
__BEGIN_TAMAAS__
/* -------------------------------------------------------------------------- */
AdhesionFunctional::AdhesionFunctional(BemFFTBase & bem):
Functional(bem),
exponential_term(bem.getSurface().size(), bem.getSurface().getL()),
surface_t(bem.getSurface().size(), bem.getSurface().getL())
{}
/* -------------------------------------------------------------------------- */
AdhesionFunctional::~AdhesionFunctional()
{}
/* -------------------------------------------------------------------------- */
void AdhesionFunctional::computeF() {
Real res = 0;
Surface<Real> & disp = const_cast<Surface<Real> &>(bem.getTrueDisplacements());
const UInt n = this->exponential_term.size();
const UInt size = n * n;
/// Computation of elastic energy gradient
bem.applyInverseInfluenceFunctions(disp, surface_t);
this->computeExponentialTerm();
#pragma omp parallel for reduction(+:res)
for (UInt i = 0 ; i < size ; ++i){
res+= 0.5*disp(i)*surface_t(i)- this->exponential_term(i);
}
this->F = res;
}
/* -------------------------------------------------------------------------- */
void AdhesionFunctional::computeGradF() {
Surface<Real> & disp = const_cast<Surface<Real> &>(bem.getTrueDisplacements());
const UInt n = this->exponential_term.size();
const UInt size = n * n;
/// Computation of elastic energy gradient
bem.applyInverseInfluenceFunctions(disp, this->gradF);
/// Computation of adhesion energy gradient
this->computeExponentialTerm();
Real rho = this->getParameter("rho");
#pragma omp parallel for
for (UInt i = 0 ; i < size ; ++i){
this->gradF(i) += this->exponential_term(i) / rho ;
}
}
/* -------------------------------------------------------------------------- */
void AdhesionFunctional::computeExponentialTerm() {
const Surface<Real> & gap = bem.getGap();
const UInt n = gap.size();
const UInt size = n * n;
Real rho = this->getParameter("rho");
Real surface_energy = this->getParameter("surface_energy");
if (surface_energy!=0.) {
#pragma omp parallel for
for (UInt i = 0 ; i < size ; ++i) {
if (gap(i)>=-1.e-8){
this->exponential_term(i) = surface_energy * exp(- (gap(i)) / rho);
}
}
}
}
__END_TAMAAS__
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