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Sat, Apr 27, 09:14

model.cpp
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/**
* @file
*
* @author Lucas Frérot <lucas.frerot@epfl.ch>
*
* @section LICENSE
*
* Copyright (©) 2017 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 "model.hh"
#include "model_extensions.hh"
#include "adhesion_functional.hh"
#include "functional.hh"
#include "integral_operator.hh"
#include "model_dumper.hh"
#include "model_factory.hh"
#include "numpy.hh"
#include "residual.hh"
#include "wrap.hh"
#include <pybind11/stl.h>
/* -------------------------------------------------------------------------- */
__BEGIN_TAMAAS__
namespace wrap {
using namespace py::literals;
/// Wrap functional classes
void wrapFunctionals(py::module& mod) {
py::class_<functional::Functional, functional::wrap::PyFunctional> func(
mod, "Functional");
func.def(py::init<>())
.def("computeF", &functional::Functional::computeF)
.def("computeGradF", &functional::Functional::computeGradF);
py::class_<functional::AdhesionFunctional> adh(mod, "AdhesionFunctional",
func);
adh.def_property("parameters", &functional::AdhesionFunctional::getParameters,
&functional::AdhesionFunctional::setParameters)
// legacy wrapper code
.def("setParameters", &functional::AdhesionFunctional::setParameters);
py::class_<functional::ExponentialAdhesionFunctional>(
mod, "ExponentialAdhesionFunctional", adh)
.def(py::init<const GridBase<Real>&>(), "surface"_a);
py::class_<functional::MaugisAdhesionFunctional>(
mod, "MaugisAdhesionFunctional", adh)
.def(py::init<const GridBase<Real>&>(), "surface"_a);
py::class_<functional::SquaredExponentialAdhesionFunctional>(
mod, "SquaredExponentialAdhesionFunctional", adh)
.def(py::init<const GridBase<Real>&>(), "surface"_a);
}
template <typename T>
std::unique_ptr<GridBase<T>> instanciateFromNumpy(numpy<T>& num) {
std::unique_ptr<GridBase<T>> result = nullptr;
switch (num.ndim()) {
case 2:
result = std::make_unique<GridNumpy<Grid<T, 1>>>(num);
return result;
case 3:
result = std::make_unique<GridNumpy<Grid<T, 2>>>(num);
return result;
case 4:
result = std::make_unique<GridNumpy<Grid<T, 3>>>(num);
return result;
default:
TAMAAS_EXCEPTION("instanciateFromNumpy expects the last dimension of numpy "
"array to be the number of components");
}
}
/// Wrap IntegralOperator
void wrapIntegralOperator(py::module& mod) {
py::class_<IntegralOperator>(mod, "IntegralOperator")
.def("apply",
[](IntegralOperator& op, numpy<Real> input, numpy<Real> output) {
auto in = instanciateFromNumpy<Real>(input);
auto out = instanciateFromNumpy<Real>(output);
op.apply(*in, *out);
})
.def("updateFromModel", &IntegralOperator::updateFromModel)
.def("getModel", &IntegralOperator::getModel,
py::return_value_policy::reference)
.def("getKind", &IntegralOperator::getKind)
.def("getType", &IntegralOperator::getType);
}
/// Wrap BEEngine classes
void wrapBEEngine(py::module& mod) {
py::class_<BEEngine>(mod, "BEEngine")
.def("solveNeumann", &BEEngine::solveNeumann)
.def("solveDirichlet", &BEEngine::solveDirichlet)
.def("getModel", &BEEngine::getModel, py::return_value_policy::reference);
}
/// Wrap Models
void wrapModelClass(py::module& mod) {
py::enum_<model_type>(mod, "model_type")
.value("basic_1d", model_type::basic_1d)
.value("basic_2d", model_type::basic_2d)
.value("surface_1d", model_type::surface_1d)
.value("surface_2d", model_type::surface_2d)
.value("volume_1d", model_type::volume_1d)
.value("volume_2d", model_type::volume_2d);
py::class_<Model>(mod, "Model")
.def("setElasticity", &Model::setElasticity, "E"_a, "nu"_a)
.def_property("E", &Model::getYoungModulus, &Model::setYoungModulus)
.def_property("nu", &Model::getPoissonRatio, &Model::setPoissonRatio)
.def("getHertzModulus", &Model::getHertzModulus)
.def("getYoungModulus", &Model::getYoungModulus)
.def("getShearModulus", &Model::getShearModulus)
.def("getPoissonRatio", &Model::getPoissonRatio)
.def("getTraction", (GridBase<Real> & (Model::*)()) & Model::getTraction)
.def("getDisplacement",
(GridBase<Real> & (Model::*)()) & Model::getDisplacement)
.def("getSystemSize", &Model::getSystemSize)
.def("getDiscretization", &Model::getDiscretization)
.def("getBoundarySystemSize", &Model::getBoundarySystemSize)
.def("getBoundaryDiscretization", &Model::getBoundaryDiscretization)
.def("solveNeumann", &Model::solveNeumann)
.def("solveDirichlet", &Model::solveDirichlet)
.def("dump", &Model::dump)
.def("setDumper", &Model::setDumper, "dumper"_a)
.def("getBEEngine", &Model::getBEEngine,
py::return_value_policy::reference)
.def("getIntegralOperator", &Model::getIntegralOperator,
"operator_name"_a, py::return_value_policy::reference)
.def("applyElasticity",
[](Model& model, numpy<Real> stress, numpy<Real> strain) {
auto out = instanciateFromNumpy<Real>(stress);
auto in = instanciateFromNumpy<Real>(strain);
model.applyElasticity(*out, *in);
})
.def("__repr__", [](const Model& m) {
std::stringstream ss;
ss << m;
return ss.str();
});
py::class_<ModelDumper, PyModelDumper, std::shared_ptr<ModelDumper>>(
mod, "ModelDumper")
.def(py::init<>())
.def("dump", &ModelDumper::dump, "model"_a);
}
/// Wrap factory for models
void wrapModelFactory(py::module& mod) {
py::class_<ModelFactory>(mod, "ModelFactory")
.def_static("createModel", &ModelFactory::createModel, "model_type"_a,
"system_size"_a, "discretization"_a)
.def_static("createResidual", &ModelFactory::createResidual,
"model_type"_a, "hardening"_a, "sigma_y"_a);
}
/// Wrap residual class
void wrapResidual(py::module& mod) {
// TODO adapt to n-dim
py::class_<Residual, PyResidual>(mod, "Residual")
.def(py::init<Model*>())
.def("computeResidual",
[](Residual& res, Grid<Real, 3>& x) { res.computeResidual(x); })
.def("computeStress",
[](Residual& res, Grid<Real, 3>& x) { res.computeStress(x); })
.def("updateState",
[](Residual& res, Grid<Real, 3>& x) { res.updateState(x); })
.def("computeResidualDisplacement",
[](Residual& res, Grid<Real, 3>& x) {
res.computeResidualDisplacement(x);
})
.def("getVector", &Residual::getVector)
.def("getPlasticStrain", &Residual::getPlasticStrain)
.def("getStress", &Residual::getStress);
}
void wrapModel(py::module& mod) {
wrapBEEngine(mod);
wrapModelClass(mod);
wrapModelFactory(mod);
wrapFunctionals(mod);
wrapResidual(mod);
}
} // namespace wrap
__END_TAMAAS__

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