forked from idaholab/moose
-
Notifications
You must be signed in to change notification settings - Fork 0
/
ProjectedStatefulMaterialNodalPatchRecovery.C
223 lines (194 loc) · 8.79 KB
/
ProjectedStatefulMaterialNodalPatchRecovery.C
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
//* This file is part of the MOOSE framework
//* https://www.mooseframework.org
//*
//* All rights reserved, see COPYRIGHT for full restrictions
//* https://github.com/idaholab/moose/blob/master/COPYRIGHT
//*
//* Licensed under LGPL 2.1, please see LICENSE for details
//* https://www.gnu.org/licenses/lgpl-2.1.html
#include "ProjectedStatefulMaterialNodalPatchRecovery.h"
#include "ElementUserObject.h"
#include "MaterialBase.h"
#include "MathUtils.h"
#include "Assembly.h"
// TIMPI includes
#include "timpi/communicator.h"
#include "timpi/parallel_sync.h"
#include "libmesh/parallel_eigen.h"
registerMooseObject("MooseApp", ProjectedStatefulMaterialNodalPatchRecoveryReal);
registerMooseObject("MooseApp", ADProjectedStatefulMaterialNodalPatchRecoveryReal);
registerMooseObject("MooseApp", ProjectedStatefulMaterialNodalPatchRecoveryRealVectorValue);
registerMooseObject("MooseApp", ADProjectedStatefulMaterialNodalPatchRecoveryRealVectorValue);
registerMooseObject("MooseApp", ProjectedStatefulMaterialNodalPatchRecoveryRankTwoTensor);
registerMooseObject("MooseApp", ADProjectedStatefulMaterialNodalPatchRecoveryRankTwoTensor);
registerMooseObject("MooseApp", ProjectedStatefulMaterialNodalPatchRecoveryRankFourTensor);
registerMooseObject("MooseApp", ADProjectedStatefulMaterialNodalPatchRecoveryRankFourTensor);
InputParameters
ProjectedStatefulMaterialNodalPatchRecoveryBase::validParams()
{
InputParameters params = ElementUserObject::validParams();
params.addClassDescription(
"Prepare patches for use in nodal patch recovery based on a material property for material "
"property states projected onto nodal variables.");
params.addRelationshipManager("ElementSideNeighborLayers",
Moose::RelationshipManagerType::ALGEBRAIC,
[](const InputParameters &, InputParameters & rm_params)
{ rm_params.set<unsigned short>("layers") = 2; });
return params;
}
template <typename T, bool is_ad>
InputParameters
ProjectedStatefulMaterialNodalPatchRecoveryTempl<T, is_ad>::validParams()
{
InputParameters params = ProjectedStatefulMaterialNodalPatchRecoveryBase::validParams();
MooseEnum orders("CONSTANT FIRST SECOND THIRD FOURTH");
params.addRequiredParam<MaterialPropertyName>(
"property", "Name of the material property to perform nodal patch recovery on");
params.addRequiredParam<MooseEnum>(
"patch_polynomial_order",
orders,
"Polynomial order used in least squares fitting of material property "
"over the local patch of elements connected to a given node");
params.addRelationshipManager("ElementSideNeighborLayers",
Moose::RelationshipManagerType::ALGEBRAIC,
[](const InputParameters &, InputParameters & rm_params)
{ rm_params.set<unsigned short>("layers") = 2; });
params.addParamNamesToGroup("patch_polynomial_order", "Advanced");
return params;
}
template <typename T, bool is_ad>
ProjectedStatefulMaterialNodalPatchRecoveryTempl<T, is_ad>::
ProjectedStatefulMaterialNodalPatchRecoveryTempl(const InputParameters & parameters)
: ProjectedStatefulMaterialNodalPatchRecoveryBase(parameters),
_qp(0),
_n_components(Moose::SerialAccess<T>::size()),
_patch_polynomial_order(
static_cast<unsigned int>(getParam<MooseEnum>("patch_polynomial_order"))),
_multi_index(MathUtils::multiIndex(_mesh.dimension(), _patch_polynomial_order)),
_q(_multi_index.size()),
_prop(getGenericMaterialProperty<T, is_ad>("property")),
_current_subdomain_id(_assembly.currentSubdomainID())
{
}
template <typename T, bool is_ad>
void
ProjectedStatefulMaterialNodalPatchRecoveryTempl<T, is_ad>::initialSetup()
{
// get all material classes that provide properties for this object
_required_materials = buildRequiredMaterials();
}
template <typename T, bool is_ad>
Real
ProjectedStatefulMaterialNodalPatchRecoveryTempl<T, is_ad>::nodalPatchRecovery(
const Point & x, const std::vector<dof_id_type> & elem_ids, std::size_t component) const
{
// Before we go, check if we have enough sample points for solving the least square fitting
if (_q_point.size() * elem_ids.size() < _q)
mooseError("There are not enough sample points to recover the nodal value, try reducing the "
"polynomial order or using a higher-order quadrature scheme.");
// Assemble the least squares problem over the patch
RealEigenMatrix A = RealEigenMatrix::Zero(_q, _q);
RealEigenVector b = RealEigenVector::Zero(_q);
for (const auto elem_id : elem_ids)
{
const auto abs = libmesh_map_find(_abs, elem_id);
A += abs.first;
b += abs.second[component];
}
// Solve the least squares fitting
const RealEigenVector coef = A.completeOrthogonalDecomposition().solve(b);
// Compute the fitted nodal value
const RealEigenVector p = evaluateBasisFunctions(x);
return p.dot(coef);
}
template <typename T, bool is_ad>
RealEigenVector
ProjectedStatefulMaterialNodalPatchRecoveryTempl<T, is_ad>::evaluateBasisFunctions(
const Point & q_point) const
{
RealEigenVector p(_q);
Real polynomial;
for (const auto r : index_range(_multi_index))
{
polynomial = 1.0;
mooseAssert(_multi_index[r].size() == _mesh.dimension(), "Wrong multi-index size.");
for (const auto c : index_range(_multi_index[r]))
polynomial *= MathUtils::pow(q_point(c), _multi_index[r][c]);
p(r) = polynomial;
}
return p;
}
template <typename T, bool is_ad>
void
ProjectedStatefulMaterialNodalPatchRecoveryTempl<T, is_ad>::initialize()
{
_abs.clear();
}
template <typename T, bool is_ad>
void
ProjectedStatefulMaterialNodalPatchRecoveryTempl<T, is_ad>::execute()
{
if (_t_step == 0)
for (const auto & mat : _required_materials[_current_subdomain_id])
mat->initStatefulProperties(_qrule->size());
std::vector<RealEigenVector> bs(_n_components, RealEigenVector::Zero(_q));
RealEigenMatrix Ae = RealEigenMatrix::Zero(_q, _q);
for (_qp = 0; _qp < _qrule->n_points(); _qp++)
{
RealEigenVector p = evaluateBasisFunctions(_q_point[_qp]);
Ae += p * p.transpose();
std::size_t index = 0;
for (const auto & v : Moose::serialAccess(_prop[_qp]))
bs[index++] += MetaPhysicL::raw_value(v) * p;
}
const dof_id_type elem_id = _current_elem->id();
_abs[elem_id] = {Ae, bs};
}
template <typename T, bool is_ad>
void
ProjectedStatefulMaterialNodalPatchRecoveryTempl<T, is_ad>::threadJoin(const UserObject & uo)
{
const auto & npr =
static_cast<const ProjectedStatefulMaterialNodalPatchRecoveryTempl<T, is_ad> &>(uo);
_abs.insert(npr._abs.begin(), npr._abs.end());
}
template <typename T, bool is_ad>
void
ProjectedStatefulMaterialNodalPatchRecoveryTempl<T, is_ad>::finalize()
{
// When calling nodalPatchRecovery, we may need to know _Ae and _be on algebraically ghosted
// elements. However, this userobject is only run on local elements, so we need to query those
// information from other processors in this finalize() method.
// Populate algebraically ghosted elements to query
std::unordered_map<processor_id_type, std::vector<dof_id_type>> query_ids;
const ConstElemRange evaluable_elem_range = _fe_problem.getEvaluableElementRange();
for (const auto * const elem : evaluable_elem_range)
if (elem->processor_id() != processor_id())
query_ids[elem->processor_id()].push_back(elem->id());
// Answer queries received from other processors
auto gather_data = [this](const processor_id_type /*pid*/,
const std::vector<dof_id_type> & elem_ids,
std::vector<ElementData> & abs_data)
{
for (const auto i : index_range(elem_ids))
abs_data.emplace_back(libmesh_map_find(_abs, elem_ids[i]));
};
// Gather answers received from other processors
auto act_on_data = [this](const processor_id_type /*pid*/,
const std::vector<dof_id_type> & elem_ids,
const std::vector<ElementData> & abs_data)
{
for (const auto i : index_range(elem_ids))
_abs[elem_ids[i]] = abs_data[i];
};
libMesh::Parallel::pull_parallel_vector_data<ElementData>(
_communicator, query_ids, gather_data, act_on_data, 0);
}
template class ProjectedStatefulMaterialNodalPatchRecoveryTempl<Real, false>;
template class ProjectedStatefulMaterialNodalPatchRecoveryTempl<Real, true>;
template class ProjectedStatefulMaterialNodalPatchRecoveryTempl<RealVectorValue, false>;
template class ProjectedStatefulMaterialNodalPatchRecoveryTempl<RealVectorValue, true>;
template class ProjectedStatefulMaterialNodalPatchRecoveryTempl<RankTwoTensor, false>;
template class ProjectedStatefulMaterialNodalPatchRecoveryTempl<RankTwoTensor, true>;
template class ProjectedStatefulMaterialNodalPatchRecoveryTempl<RankFourTensor, false>;
template class ProjectedStatefulMaterialNodalPatchRecoveryTempl<RankFourTensor, true>;