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rAKA akantu
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
*
* @section LICENSE
*
* 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
(
const
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
(
const
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
]
->
clear
();
/// 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
,
const
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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