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rAKA/src/model/solid_mechanics/materials/random_internal_field_tmpl.hh
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random_internal_field_tmpl.hh
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/**
* @file random_internal_field_tmpl.hh
*
* @author Nicolas Richart <nicolas.richart@epfl.ch>
*
* @date creation: Wed Nov 13 2013
* @date last modification: Wed Nov 13 2013
*
* @brief Random internal material parameter implementation
*
* @section LICENSE
*
* Copyright (©) 2014 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 "aka_common.hh"
#include "aka_random_generator.hh"
#include "internal_field_tmpl.hh"
/* -------------------------------------------------------------------------- */
#ifndef __AKANTU_RANDOM_INTERNAL_FIELD_TMPL_HH__
#define __AKANTU_RANDOM_INTERNAL_FIELD_TMPL_HH__
__BEGIN_AKANTU__
/* -------------------------------------------------------------------------- */
template<typename T,
template<typename> class BaseField,
template<typename> class Generator>
RandomInternalField<T, BaseField, Generator>::RandomInternalField(const ID & id, Material & material) :
BaseField<T>(id, material), random_parameter(T()) {
}
/* -------------------------------------------------------------------------- */
template<typename T,
template<typename> class BaseField,
template<typename> class Generator>
RandomInternalField<T, BaseField, Generator>::~RandomInternalField() { }
/* -------------------------------------------------------------------------- */
template<typename T,
template<typename> class BaseField,
template<typename> class Generator>
void RandomInternalField<T, BaseField, Generator>::initialize(UInt nb_component) {
this->internalInitialize(nb_component);
}
/* ------------------------------------------------------------------------ */
template<typename T,
template<typename> class BaseField,
template<typename> class Generator>
void RandomInternalField<T, BaseField, Generator>::setDefaultValue(const T &value) {
random_parameter.setBaseValue(value);
this->reset();
}
/* ------------------------------------------------------------------------ */
template<typename T,
template<typename> class BaseField,
template<typename> class Generator>
void RandomInternalField<T, BaseField, Generator>::setRandomDistribution(const RandomParameter<T> & param) {
random_parameter = param;
this->reset();
}
/* ------------------------------------------------------------------------ */
template<typename T,
template<typename> class BaseField,
template<typename> class Generator>
void RandomInternalField<T, BaseField, Generator>::printself(std::ostream & stream, unsigned int indent) const {
stream << "RandomInternalField [ ";
random_parameter.printself(stream);
stream << " ]";
#if !defined(AKANTU_NDEBUG)
if(AKANTU_DEBUG_TEST(dblDump)) {
stream << std::endl;
InternalField<T>::printself(stream, indent);
}
#endif
}
/* -------------------------------------------------------------------------- */
template<typename T,
template<typename> class BaseField,
template<typename> class Generator>
void RandomInternalField<T, BaseField, Generator>::setArrayValues(T * begin, T * end) {
random_parameter.template setValues<Generator>(begin, end);
}
/* -------------------------------------------------------------------------- */
template<typename T,
template<typename> class BaseField,
template<typename> class Generator>
inline RandomInternalField<T, BaseField, Generator>::operator Real() const {
return random_parameter.getBaseValue();
}
/* -------------------------------------------------------------------------- */
template<>
inline void ParsableParamTyped< RandomInternalField<Real> >::parseParam(const ParserParameter & in_param) {
ParsableParam::parseParam(in_param);
RandomParameter<Real> r = in_param;
param.setRandomDistribution(r);
}
/* -------------------------------------------------------------------------- */
__END_AKANTU__
#endif /* __AKANTU_RANDOM_INTERNAL_FIELD_TMPL_HH__ */
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