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resolution_penalty.cc
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/**
* @file resolution_penalty.cc
*
* @author Mohit Pundir <mohit.pundir@epfl.ch>
*
* @date creation: Mon Jan 7 2019
* @date last modification: Mon Jan 7 2019
*
* @brief Specialization of the resolution class for the penalty method
*
* @section LICENSE
*
* 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 "resolution_penalty.hh"
namespace akantu {
/* -------------------------------------------------------------------------- */
ResolutionPenalty::ResolutionPenalty(ContactMechanicsModel & model,
const ID & id)
: Resolution(model, id) {
AKANTU_DEBUG_IN();
this->initialize();
AKANTU_DEBUG_OUT();
}
/* -------------------------------------------------------------------------- */
void ResolutionPenalty::initialize() {
this->registerParam("epsilon_n", epsilon_n, Real(0.),
_pat_parsable | _pat_modifiable,
"Normal penalty parameter");
this->registerParam("epsilon_t", epsilon_t, Real(0.),
_pat_parsable | _pat_modifiable,
"Tangential penalty parameter");
}
/* -------------------------------------------------------------------------- */
void ResolutionPenalty::computeNormalForce(ContactElement & element,
Vector<Real> & force) {
force.clear();
Real sigma_n = macaulay(element.gap) * epsilon_n;
auto nb_nodes_master = Mesh::getNbNodesPerElement(element.master.type);
auto nb_nodes = nb_nodes_master + 1;
Vector<Real> delta_gap(nb_nodes * spatial_dimension);
ResolutionUtils::firstVariationNormalGap(element, delta_gap);
for (UInt i : arange(force.size()))
force[i] += delta_gap[i] * sigma_n;
}
/* -------------------------------------------------------------------------- */
void ResolutionPenalty::computeTangentialForce(ContactElement & element,
Vector<Real> & force) {
if (mu == 0)
return;
UInt surface_dimension = spatial_dimension - 1;
Vector<Real> traction_trial(spatial_dimension);
Vector<Real> traction_tangential(spatial_dimension);
computeTrialTangentialTraction(element, traction_trial);
Real sigma_n = epsilon_n * macaulay(element.gap);
bool stick = (traction_trial.norm() <= mu * sigma_n) ? true : false;
if (stick)
computeStickTangentialTraction(element, traction_trial, traction_tangential);
else
computeSlipTangentialTraction(element, traction_trial, traction_tangential);
auto nb_nodes_master = Mesh::getNbNodesPerElement(element.master.type);
auto nb_nodes = nb_nodes_master + 1;
Array<Real> delta_xi(nb_nodes * spatial_dimension, surface_dimension);
ResolutionUtils::firstVariationNaturalCoordinate(element, delta_xi);
for (auto && values : zip(traction_tangential,
make_view(delta_xi, delta_xi.size()))) {
auto & t_alpha = std::get<0>(values);
auto & d_alpha = std::get<1>(values);
force += d_alpha * t_alpha;
}
}
/* -------------------------------------------------------------------------- */
void ResolutionPenalty::computeTrialTangentialTraction(ContactElement & element,
Vector<Real> & traction) {
UInt spatial_dimension = model.getMesh().getSpatialDimension();
UInt surface_dimension = spatial_dimension - 1;
Matrix<Real> covariant_basis(surface_dimension, spatial_dimension);
GeometryUtils::covariantBasis(model.getMesh(), model.getContactDetector().getPositions(),
element.master, element.projection, covariant_basis);
Matrix<Real> contravariant_basis(surface_dimension, spatial_dimension);
GeometryUtils::contravariantBasis(covariant_basis, contravariant_basis);
auto & contravariant_projection = element.projection;
auto & covariant_stick = element.stick_projection;
Vector<Real> covariant_projection(surface_dimension);
for (auto && values : zip(covariant_projection,
contravariant_projection,
contravariant_basis.transpose())) {
auto & temp = std::get<0>(values);
Vector<Real> contravariant(std::get<2>(values));
temp = contravariant.dot(contravariant);
temp *= std::get<1>(values);
}
auto covariant_slip = covariant_projection - covariant_stick;
Matrix<Real> mat_traction(spatial_dimension, 1);
//mat_traction.mul<true, false>(contravariant_basis, covariant_slip, epsilon_t);
traction = Vector<Real>(mat_traction[0]);
}
/* -------------------------------------------------------------------------- */
void ResolutionPenalty::computeStickTangentialTraction(ContactElement & element,
Vector<Real> & traction_trial,
Vector<Real> & traction_tangential) {
traction_tangential = traction_trial;
}
/* -------------------------------------------------------------------------- */
void ResolutionPenalty::computeSlipTangentialTraction(ContactElement & element,
Vector<Real> & traction_trial,
Vector<Real> & traction_tangential) {
auto slip_vector = traction_trial;
slip_vector /= slip_vector.norm();
Real sigma_n = epsilon_n * macaulay(element.gap);
traction_tangential = slip_vector;
traction_tangential *= sigma_n;
auto slip = macaulay(traction_trial.norm() - mu * sigma_n);
slip /= epsilon_t;
// slip needs to be multiplied with nodal area
//Vector<Real> slip_covariant;
//GeometryUtils::toCovariantBasis(slip_vector, slip_covariant);
//element.stick_point += slip * slip_covariant;
}
/* -------------------------------------------------------------------------- */
void ResolutionPenalty::computeNormalModuli(Matrix<Real> & ke,
Array<Real> & n_alpha,
Array<Real> & d_alpha,
Vector<Real> & n,
ContactElement & element) {
Real tn = element.gap * epsilon_n;
tn = macaulay(tn);
Matrix<Real> n_mat(n.storage(), n.size(), 1);
ke.mul<false, true>(n_mat, n_mat);
ke *= epsilon_n * heaviside(element.gap);
/* for (auto && values : zip(make_view(n_alpha, n_alpha.size()),
make_view(d_alpha, d_alpha.size()))) {
auto & n_s = std::get<0>(values);
auto & d_s = std::get<1>(values);
Matrix<Real> ns_mat(n_s.storage(), n_s.size(), 1);
Matrix<Real> ds_mat(d_s.storage(), d_s.size(), 1);
Matrix<Real> tmp1(n_s.size(), n_s.size());
tmp1.mul<false, true>(ns_mat, ds_mat);
Matrix<Real> tmp2(n_s.size(), n_s.size());
tmp2.mul<false, true>(ds_mat, ns_mat);
ke -= (tmp1 + tmp2) * tn;
}
auto surface_dimension = spatial_dimension - 1;
Matrix<Real> m_alpha_beta(surface_dimension, surface_dimension);
ResolutionUtils::computeMetricTensor(m_alpha_beta, element.tangents);
for (auto && values :
zip(arange(surface_dimension), make_view(n_alpha, n_alpha.size()))) {
auto & s = std::get<0>(values);
auto & n_s = std::get<1>(values);
Matrix<Real> ns_mat(n_s.storage(), n_s.size(), 1);
for (auto && tuple :
zip(arange(surface_dimension), make_view(n_alpha, n_alpha.size()))) {
auto & t = std::get<0>(tuple);
auto & n_t = std::get<1>(tuple);
Matrix<Real> nt_mat(n_t.storage(), n_t.size(), 1);
Matrix<Real> tmp3(n_s.size(), n_s.size());
tmp3.mul<false, true>(ns_mat, nt_mat);
tmp3 *= m_alpha_beta(s, t) * tn * element.gap;
ke += tmp3;
}
}*/
}
/* -------------------------------------------------------------------------- */
void ResolutionPenalty::computeFrictionalModuli(
Matrix<Real> & /*ke*/, Array<Real> & t_alpha_beta,
Array<Real> & n_alpha_beta, Array<Real> & /*n_alpha*/,
Array<Real> & d_alpha, Matrix<Real> & phi, Vector<Real> & n,
ContactElement & element) {
auto k_common =
computeCommonModuli(t_alpha_beta, n_alpha_beta, d_alpha, n, element);
const auto & type = element.master.type;
const auto & conn = element.connectivity;
auto surface_dimension = Mesh::getSpatialDimension(type);
auto spatial_dimension = surface_dimension + 1;
Matrix<Real> m_alpha_beta(surface_dimension, surface_dimension);
ResolutionUtils::computeMetricTensor(m_alpha_beta, element.tangents);
Array<Real> g_alpha(conn.size() * spatial_dimension, surface_dimension);
ResolutionUtils::computeGalpha(g_alpha, t_alpha_beta, d_alpha, phi, element);
/*Matrix<Real> k_t;
bool stick = computeFrictionalTraction(m_alpha_beta, element);
if(stick)
k_t = computeStickModuli(g_alpha, d_alpha, m_alpha_beta);
else
k_t = computeSlipModuli(g_alpha, d_alpha, m_alpha_beta, element);*/
}
/* -------------------------------------------------------------------------- */
Array<Real> ResolutionPenalty::computeCommonModuli(
Array<Real> & /*t_alpha_beta*/, Array<Real> & /*n_alpha_beta*/,
Array<Real> & d_alpha, Vector<Real> & /*n*/, ContactElement & /*element*/) {
Array<Real> kt_alpha(spatial_dimension - 1, d_alpha.size() * d_alpha.size(),
"k_T_alpha");
// auto t_alpha_beta_size = t_alpha_beta.size() * (spatial_dimension - 1);
// auto & tangents = element.tangents;
/*for(auto && values :
zip(tangents.transpose(),
make_view(kt_alpha, kt_alpha.size()),
make_view(t_alpha_beta, t_alpha_beta_size),
make_view(n_alpha_beta, n_alpha_beta_size))) {
auto & tangent_s = std::get<0>(values);
auto & kt_s = std::get<1>(values);
auto & t_alpha_s = std::get<2>(values);
auto & n_alpha_s = std::get<3>(values);
Matrix<Real> kt_s_mat(kt_s.storage(), d_alpha.size(), d_alpha.size());
// loop over beta
for(auto && tuple :
zip(make_view(d_alpha, d_alpha.size()),
make_view(n_alpha_ ))) {
auto & d_s = std::get<0>(tuple);
Matrix<Real> tmp(d_s.size(), d_s.size());
// loop over gamma
for(auto && entry :
make_view(d_alpha, d_alpha.size())) {
auto & d_t = std::get<0>(entry);
// compute constant
Matrix<Real> tmp2(d_t.size(), d_t.size());
tmp2.mul<false, true>(d_s, d_t);
kt_s_mat += tmp2;
}
}
}*/
return kt_alpha;
}
/* -------------------------------------------------------------------------- */
Matrix<Real> ResolutionPenalty::computeStickModuli(
Array<Real> & g_alpha, Array<Real> & d_alpha, Matrix<Real> & m_alpha_beta) {
Matrix<Real> k_stick(d_alpha.size(), d_alpha.size());
for (auto && values :
zip(arange(d_alpha.getNbComponent()), make_view(d_alpha, d_alpha.size()),
make_view(g_alpha, g_alpha.size()))) {
auto & s = std::get<0>(values);
auto & d_s = std::get<1>(values);
auto & g_s = std::get<2>(values);
Matrix<Real> ds_mat(d_s.storage(), d_s.size(), 1);
Matrix<Real> gs_mat(g_s.storage(), g_s.size(), 1);
Matrix<Real> tmp1(d_s.size(), d_s.size());
tmp1.mul<false, true>(ds_mat, gs_mat);
k_stick += tmp1;
for (auto && tuple : enumerate(make_view(d_alpha, d_alpha.size()))) {
auto & t = std::get<0>(tuple);
auto & d_t = std::get<1>(tuple);
Matrix<Real> dt_mat(d_t.storage(), d_t.size(), 1);
Matrix<Real> tmp2(d_t.size(), d_t.size());
tmp2.mul<false, true>(ds_mat, dt_mat);
k_stick += tmp2 * m_alpha_beta(s, t);
}
}
k_stick *= epsilon_t;
return k_stick;
}
/* -------------------------------------------------------------------------- */
Matrix<Real> ResolutionPenalty::computeSlipModuli(
Array<Real> & /*g_alpha*/, Array<Real> & d_alpha,
Matrix<Real> & /*m_alpha_beta*/, ContactElement & /*element*/) {
/*Real tn = element.gap * epsilon;
tn = macaulay(tn);
Real factor;
factor = epsilon_t * mu * tn;
auto p_t = element.traction;
p_t /= p_t.norm();*/
Matrix<Real> k_slip(d_alpha.size(), d_alpha.size());
/*
// loop for alpha
for(auto && value :
make_view(d_alpha, d_alpha.size())) {
auto & d_s = std::get<0>(value);
// loop for beta
for(auto && tuple :
zip(arange(spatial_dimension - 1),
make_view(d_alpha, d_alpha.size()),
make_view(g_alpha, g_alpha.size()))) {
auto & beta = std::get<0>(tuple);
auto & d_beta = std::get<1>(tuple);
auto & g_beta = std::get<2>(tuple);
// loop for gamma
for(auto && entry :
zip(arange(spatial_dimension - 1),
make_view(d_alpha, d_alpha.size()))) {
auto & gamma = std::get<0>(entry);
auto & d_gamma = std::get<1>(entry);
}
}
}*/
return k_slip;
}
INSTANTIATE_RESOLUTION(penalty, ResolutionPenalty);
} // namespace akantu

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