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rTAMAAS tamaas
bem_uzawa.cpp
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/**
*
* @author Guillaume Anciaux <guillaume.anciaux@epfl.ch>
*
* @section LICENSE
*
* Copyright (©) 2016 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 "bem_uzawa.hh"
#include "surface.hh"
#include <fstream>
#include <iomanip>
#include <iostream>
#include <sstream>
#include <vector>
/* -------------------------------------------------------------------------- */
namespace
tamaas
{
void
BemUzawa
::
computeTractionsFromDisplacements
()
{
this
->
applyInverseInfluenceFunctions
(
this
->
true_displacements
,
this
->
surface_tractions
);
}
Real
BemUzawa
::
computeEquilibrium
(
Real
epsilon
,
Real
mean_displacement
,
Real
penalization_parameter
)
{
this
->
computeSpectralInfluenceOverDisplacement
();
this
->
search_direction
=
0.
;
this
->
true_displacements
=
0
;
this
->
true_displacements
=
mean_displacement
;
this
->
computeGaps
();
this
->
multipliers
=
0
;
Real
f_2
=
1e300
;
Real
new_pen
=
1e300
;
Real
old_pen
=
1e300
;
convergence_iterations
.
clear
();
UInt
nb_iterations_1
=
0
;
UInt
nb_iterations_2
=
0
;
std
::
ofstream
file
(
"output.txt"
);
Real
max_iterations_1
=
500
;
Real
max_iterations_2
=
1000
;
while
(
new_pen
>
epsilon
&&
nb_iterations_1
++
<
max_iterations_1
)
{
std
::
cout
<<
"iter ext "
<<
nb_iterations_1
<<
std
::
endl
;
while
(
f_2
>
1e-12
&&
nb_iterations_2
++
<
max_iterations_2
)
{
std
::
cout
<<
"iter int "
<<
nb_iterations_2
<<
std
::
endl
;
this
->
functional
->
computeGradFU
();
this
->
computeSearchDirection
(
mean_displacement
,
penalization_parameter
);
Real
alpha
=
1
/
(
10
*
penalization_parameter
);
this
->
old_displacements
=
this
->
true_displacements
;
this
->
updateUnknown
(
alpha
,
mean_displacement
);
this
->
computeGaps
();
f_2
=
computeStoppingCriterion
();
if
(
nb_iterations_2
%
dump_freq
==
0
)
{
std
::
cout
<<
std
::
scientific
<<
std
::
setprecision
(
10
)
<<
nb_iterations
<<
" "
<<
f_2
<<
std
::
fixed
<<
std
::
endl
;
this
->
computePressures
();
Real
orth
=
0.
;
UInt
n
=
surface
.
size
();
UInt
size
=
n
*
n
;
#pragma omp parallel for reduction(+ : orth)
for
(
UInt
i
=
0
;
i
<
size
;
++
i
)
{
orth
+=
std
::
abs
(
surface_tractions
(
i
)
*
(
this
->
true_displacements
(
i
)
-
surface
(
i
)));
}
file
<<
std
::
scientific
<<
std
::
setprecision
(
10
)
<<
nb_iterations_2
<<
" "
<<
f_2
<<
" "
<<
orth
<<
std
::
endl
;
}
}
this
->
updateMultipliers
(
penalization_parameter
);
old_pen
=
computeInterpenetration
(
this
->
old_displacements
);
new_pen
=
computeInterpenetration
(
this
->
true_displacements
);
std
::
cout
<<
"old penetration is "
<<
old_pen
<<
std
::
endl
;
std
::
cout
<<
"new penetration is "
<<
new_pen
<<
std
::
endl
;
penalization_parameter
=
this
->
updatePenalization
(
penalization_parameter
,
old_pen
,
new_pen
);
// to avoid ill conditioned system
if
(
penalization_parameter
>
1.0e8
)
new_pen
=
0.
;
nb_iterations_2
=
0
;
f_2
=
1e300
;
std
::
cout
<<
"penalization is "
<<
penalization_parameter
<<
std
::
endl
;
}
this
->
computeGaps
();
this
->
computePressures
();
return
new_pen
;
}
/* -------------------------------------------------------------------------- */
Real
BemUzawa
::
computeStoppingCriterion
()
{
Real
crit
=
0.
;
Real
disp_norm
=
0.
;
UInt
n
=
surface
.
size
();
UInt
size
=
n
*
n
;
#pragma omp parallel for reduction(+ : crit, disp_norm)
for
(
UInt
i
=
0
;
i
<
size
;
++
i
)
{
crit
+=
(
this
->
search_direction
(
i
))
*
(
this
->
search_direction
(
i
));
disp_norm
+=
(
true_displacements
(
i
)
*
true_displacements
(
i
));
}
return
crit
/
disp_norm
;
}
/* -------------------------------------------------------------------------- */
void
BemUzawa
::
computeSearchDirection
(
Real
/*mean_displacement*/
,
Real
penalization_parameter
)
{
UInt
n
=
surface
.
size
();
UInt
size
=
n
*
n
;
const
Surface
<
Real
>&
gradF
=
this
->
functional
->
getGradF
();
#pragma omp parallel for
for
(
UInt
i
=
1
;
i
<
size
;
++
i
)
{
this
->
search_direction
(
i
)
=
gradF
(
i
);
if
(
this
->
multipliers
(
i
)
+
penalization_parameter
*
gap
(
i
)
<=
0
)
{
this
->
search_direction
(
i
)
=
this
->
search_direction
(
i
)
+
this
->
multipliers
(
i
)
+
penalization_parameter
*
gap
(
i
);
}
}
}
/* -------------------------------------------------------------------------- */
Real
BemUzawa
::
computeOptimalStep
()
{
this
->
applyInverseInfluenceFunctions
(
search_direction
,
surface_r
);
UInt
n
=
surface
.
size
();
UInt
size
=
n
*
n
;
Real
numerator
=
0.
,
denominator
=
0.
;
#pragma omp parallel for reduction(+ : numerator, denominator)
for
(
UInt
i
=
0
;
i
<
size
;
++
i
)
{
numerator
+=
search_direction
(
i
)
*
search_direction
(
i
);
denominator
+=
surface_r
(
i
)
*
search_direction
(
i
);
}
Real
alpha
=
numerator
/
denominator
;
return
alpha
;
}
/* -------------------------------------------------------------------------- */
void
BemUzawa
::
updateMultipliers
(
Real
penalization_parameter
)
{
UInt
n
=
surface
.
size
();
UInt
size
=
n
*
n
;
#pragma omp parallel for
for
(
UInt
i
=
0
;
i
<
size
;
++
i
)
{
if
(
this
->
multipliers
(
i
)
+
penalization_parameter
*
gap
(
i
)
>
0.
)
{
this
->
multipliers
(
i
)
=
0
;
}
else
{
this
->
multipliers
(
i
)
+=
penalization_parameter
*
gap
(
i
);
}
}
}
/* -------------------------------------------------------------------------- */
Real
BemUzawa
::
updatePenalization
(
Real
penalization_parameter
,
Real
old_pen
,
Real
new_pen
)
{
if
(
new_pen
>
0.25
*
old_pen
)
{
penalization_parameter
*=
5
;
}
return
penalization_parameter
;
}
/* -------------------------------------------------------------------------- */
Real
BemUzawa
::
computeInterpenetration
(
Surface
<
Real
>&
/*displacements*/
)
{
UInt
n
=
surface
.
size
();
UInt
size
=
n
*
n
;
Real
res
=
0.
;
#pragma omp parallel for
for
(
UInt
i
=
0
;
i
<
size
;
++
i
)
{
if
(
0
>
this
->
true_displacements
(
i
)
-
surface
(
i
))
{
res
+=
(
this
->
true_displacements
(
i
)
-
surface
(
i
))
*
(
this
->
true_displacements
(
i
)
-
surface
(
i
));
}
}
return
sqrt
(
res
);
}
/* -------------------------------------------------------------------------- */
void
BemUzawa
::
updateUnknown
(
Real
alpha
,
Real
mean_displacement
)
{
UInt
n
=
surface
.
size
();
UInt
size
=
n
*
n
;
#pragma omp parallel for
for
(
UInt
i
=
0
;
i
<
size
;
++
i
)
{
this
->
true_displacements
(
i
)
-=
alpha
*
this
->
search_direction
(
i
);
}
Real
moyenne
=
SurfaceStatistics
::
computeAverage
(
this
->
true_displacements
,
0
);
for
(
UInt
i
=
0
;
i
<
size
;
++
i
)
{
this
->
true_displacements
(
i
)
=
this
->
true_displacements
(
i
)
-
moyenne
+
mean_displacement
;
}
}
/* -------------------------------------------------------------------------- */
void
BemUzawa
::
computePressures
()
{
this
->
computeTractionsFromDisplacements
();
this
->
functional
->
computeGradFU
();
// const Surface<Real> & gradF = this->functional->getGradF();
// Real min = SurfaceStatistics::computeMinimum(gradF);
this
->
surface_tractions
-=
this
->
surface_tractions
(
0
);
}
/* -------------------------------------------------------------------------- */
}
// namespace tamaas
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