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rAKA/src/model/common/non_local_toolbox/non_local_neighborhood_tmpl.hh
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non_local_neighborhood_tmpl.hh
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/**
* @file non_local_neighborhood_tmpl.hh
*
* @author Aurelia Isabel Cuba Ramos <aurelia.cubaramos@epfl.ch>
* @author Nicolas Richart <nicolas.richart@epfl.ch>
*
* @date creation: Mon Sep 28 2015
* @date last modification: Tue Feb 20 2018
*
* @brief Implementation of class non-local neighborhood
*
*
* Copyright (©) 2015-2018 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 "communicator.hh"
#include "non_local_manager.hh"
#include "non_local_neighborhood.hh"
/* -------------------------------------------------------------------------- */
#include <fstream>
/* -------------------------------------------------------------------------- */
#ifndef AKANTU_NON_LOCAL_NEIGHBORHOOD_TMPL_HH_
#define AKANTU_NON_LOCAL_NEIGHBORHOOD_TMPL_HH_
namespace akantu {
/* -------------------------------------------------------------------------- */
template <class WeightFunction>
template <class Func>
inline void NonLocalNeighborhood<WeightFunction>::foreach_weight(
GhostType ghost_type, Func && func) {
auto weight_it =
pair_weight[ghost_type]->begin(pair_weight[ghost_type]->getNbComponent());
for (auto & pair : pair_list[ghost_type]) {
std::forward<decltype(func)>(func)(pair.first, pair.second, *weight_it);
++weight_it;
}
}
/* -------------------------------------------------------------------------- */
template <class WeightFunction>
template <class Func>
inline void NonLocalNeighborhood<WeightFunction>::foreach_weight(
GhostType ghost_type, Func && func) const {
auto weight_it =
pair_weight[ghost_type]->begin(pair_weight[ghost_type]->getNbComponent());
for (auto & pair : pair_list[ghost_type]) {
std::forward<decltype(func)>(func)(pair.first, pair.second, *weight_it);
++weight_it;
}
}
/* -------------------------------------------------------------------------- */
template <class WeightFunction>
NonLocalNeighborhood<WeightFunction>::NonLocalNeighborhood(
NonLocalManager & manager, const ElementTypeMapReal & quad_coordinates,
const ID & id, const MemoryID & memory_id)
: NonLocalNeighborhoodBase(manager.getModel(), quad_coordinates, id,
memory_id),
non_local_manager(manager) {
AKANTU_DEBUG_IN();
this->weight_function = std::make_unique<WeightFunction>(manager);
this->registerSubSection(ParserType::_weight_function, "weight_parameter",
*weight_function);
AKANTU_DEBUG_OUT();
}
/* -------------------------------------------------------------------------- */
template <class WeightFunction>
NonLocalNeighborhood<WeightFunction>::~NonLocalNeighborhood() = default;
/* -------------------------------------------------------------------------- */
template <class WeightFunction>
void NonLocalNeighborhood<WeightFunction>::computeWeights() {
AKANTU_DEBUG_IN();
this->weight_function->setRadius(this->neighborhood_radius);
Vector<Real> q1_coord(this->spatial_dimension);
Vector<Real> q2_coord(this->spatial_dimension);
UInt nb_weights_per_pair = 2; /// w1: q1->q2, w2: q2->q1
/// get the elementtypemap for the neighborhood volume for each quadrature
/// point
ElementTypeMapReal & quadrature_points_volumes =
this->non_local_manager.getVolumes();
/// update the internals of the weight function if applicable (not
/// all the weight functions have internals and do noting in that
/// case)
weight_function->updateInternals();
for (auto ghost_type : ghost_types) {
/// allocate the array to store the weight, if it doesn't exist already
if (!(pair_weight[ghost_type])) {
pair_weight[ghost_type] =
std::make_unique<Array<Real>>(0, nb_weights_per_pair);
}
/// resize the array to the correct size
pair_weight[ghost_type]->resize(pair_list[ghost_type].size());
/// set entries to zero
pair_weight[ghost_type]->zero();
/// loop over all pairs in the current pair list array and their
/// corresponding weights
auto first_pair = pair_list[ghost_type].begin();
auto last_pair = pair_list[ghost_type].end();
auto weight_it = pair_weight[ghost_type]->begin(nb_weights_per_pair);
// Compute the weights
for (; first_pair != last_pair; ++first_pair, ++weight_it) {
Vector<Real> & weight = *weight_it;
const IntegrationPoint & q1 = first_pair->first;
const IntegrationPoint & q2 = first_pair->second;
/// get the coordinates for the given pair of quads
auto coords_type_1_it = this->quad_coordinates(q1.type, q1.ghost_type)
.begin(this->spatial_dimension);
q1_coord = coords_type_1_it[q1.global_num];
auto coords_type_2_it = this->quad_coordinates(q2.type, q2.ghost_type)
.begin(this->spatial_dimension);
q2_coord = coords_type_2_it[q2.global_num];
Array<Real> & quad_volumes_1 =
quadrature_points_volumes(q1.type, q1.ghost_type);
const Array<Real> & jacobians_2 =
this->non_local_manager.getJacobians(q2.type, q2.ghost_type);
const Real & q2_wJ = jacobians_2(q2.global_num);
/// compute distance between the two quadrature points
Real r = q1_coord.distance(q2_coord);
/// compute the weight for averaging on q1 based on the distance
Real w1 = this->weight_function->operator()(r, q1, q2);
weight(0) = q2_wJ * w1;
quad_volumes_1(q1.global_num) += weight(0);
if (q2.ghost_type != _ghost && q1.global_num != q2.global_num) {
const Array<Real> & jacobians_1 =
this->non_local_manager.getJacobians(q1.type, q1.ghost_type);
Array<Real> & quad_volumes_2 =
quadrature_points_volumes(q2.type, q2.ghost_type);
/// compute the weight for averaging on q2
const Real & q1_wJ = jacobians_1(q1.global_num);
Real w2 = this->weight_function->operator()(r, q2, q1);
weight(1) = q1_wJ * w2;
quad_volumes_2(q2.global_num) += weight(1);
} else {
weight(1) = 0.;
}
}
}
/// normalize the weights
for (auto ghost_type : ghost_types) {
foreach_weight(ghost_type, [&](const auto & q1, const auto & q2,
auto & weight) {
auto & quad_volumes_1 = quadrature_points_volumes(q1.type, q1.ghost_type);
auto & quad_volumes_2 = quadrature_points_volumes(q2.type, q2.ghost_type);
Real q1_volume = quad_volumes_1(q1.global_num);
auto ghost_type2 = q2.ghost_type;
weight(0) *= 1. / q1_volume;
if (ghost_type2 != _ghost) {
Real q2_volume = quad_volumes_2(q2.global_num);
weight(1) *= 1. / q2_volume;
}
});
}
AKANTU_DEBUG_OUT();
}
/* -------------------------------------------------------------------------- */
template <class WeightFunction>
void NonLocalNeighborhood<WeightFunction>::saveWeights(
const std::string & filename) const {
std::ofstream pout;
std::stringstream sstr;
const Communicator & comm = model.getMesh().getCommunicator();
Int prank = comm.whoAmI();
sstr << filename << "." << prank;
pout.open(sstr.str().c_str());
for (UInt gt = _not_ghost; gt <= _ghost; ++gt) {
auto ghost_type = (GhostType)gt;
AKANTU_DEBUG_ASSERT((pair_weight[ghost_type]),
"the weights have not been computed yet");
Array<Real> & weights = *(pair_weight[ghost_type]);
auto weights_it = weights.begin(2);
for (UInt i = 0; i < weights.size(); ++i, ++weights_it) {
pout << "w1: " << (*weights_it)(0) << " w2: " << (*weights_it)(1)
<< std::endl;
}
}
}
/* -------------------------------------------------------------------------- */
template <class WeightFunction>
void NonLocalNeighborhood<WeightFunction>::weightedAverageOnNeighbours(
const ElementTypeMapReal & to_accumulate, ElementTypeMapReal & accumulated,
UInt nb_degree_of_freedom, GhostType ghost_type2) const {
auto it = non_local_variables.find(accumulated.getName());
// do averaging only for variables registered in the neighborhood
if (it == non_local_variables.end()) {
return;
}
foreach_weight(
ghost_type2,
[ghost_type2, nb_degree_of_freedom, &to_accumulate,
&accumulated](const auto & q1, const auto & q2, auto & weight) {
const Vector<Real> to_acc_1 =
to_accumulate(q1.type, q1.ghost_type)
.begin(nb_degree_of_freedom)[q1.global_num];
const Vector<Real> to_acc_2 =
to_accumulate(q2.type, q2.ghost_type)
.begin(nb_degree_of_freedom)[q2.global_num];
Vector<Real> acc_1 = accumulated(q1.type, q1.ghost_type)
.begin(nb_degree_of_freedom)[q1.global_num];
Vector<Real> acc_2 = accumulated(q2.type, q2.ghost_type)
.begin(nb_degree_of_freedom)[q2.global_num];
acc_1 += weight(0) * to_acc_2;
if (ghost_type2 != _ghost) {
acc_2 += weight(1) * to_acc_1;
}
});
}
/* -------------------------------------------------------------------------- */
template <class WeightFunction>
void NonLocalNeighborhood<WeightFunction>::updateWeights() {
// Update the weights for the non local variable averaging
if (this->weight_function->getUpdateRate() &&
(this->non_local_manager.getNbStressCalls() %
this->weight_function->getUpdateRate() ==
0)) {
SynchronizerRegistry::synchronize(SynchronizationTag::_mnl_weight);
this->computeWeights();
}
}
} // namespace akantu
#endif /* __AKANTU_NON_LOCAL_NEIGHBORHOOD_TMPL__ */
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