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adhesion_functional.cpp
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rTAMAAS tamaas
adhesion_functional.cpp
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/**
* @file
*
* @author Lucas Frérot <lucas.frerot@epfl.ch>
* @author Valentine Rey
*
* @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 "adhesion_functional.hh"
/* -------------------------------------------------------------------------- */
__BEGIN_TAMAAS__
namespace
functional
{
Real
ExponentialAdhesionFunctional
::
computeF
(
GridBase
<
Real
>&
gap
,
GridBase
<
Real
>&
/*pressure*/
)
const
{
auto
rho_inv
=
1.
/
getParameters
().
at
(
"rho"
);
auto
gamma
=
getParameters
().
at
(
"surface_energy"
);
return
-
gamma
*
Loop
::
reduce
<
operation
::
plus
>
(
[
rho_inv
]
CUDA_LAMBDA
(
const
Real
&
g
)
{
return
std
::
exp
(
-
g
*
rho_inv
);
},
gap
);
}
void
ExponentialAdhesionFunctional
::
computeGradF
(
GridBase
<
Real
>&
gap
,
GridBase
<
Real
>&
gradient
)
const
{
auto
rho_inv
=
1.
/
getParameters
().
at
(
"rho"
);
auto
gamma
=
getParameters
().
at
(
"surface_energy"
);
Loop
::
loop
(
[
rho_inv
,
gamma
]
CUDA_LAMBDA
(
const
Real
&
g
,
Real
&
grad
)
{
grad
+=
gamma
*
std
::
exp
(
-
g
*
rho_inv
)
*
rho_inv
;
},
gap
,
gradient
);
}
Real
MaugisAdhesionFunctional
::
computeF
(
GridBase
<
Real
>&
gap
,
GridBase
<
Real
>&
/*pressure*/
)
const
{
auto
rho
=
getParameters
().
at
(
"rho"
);
auto
rho_inv
=
1.
/
rho
;
auto
gamma
=
getParameters
().
at
(
"surface_energy"
);
return
-
gamma
*
Loop
::
reduce
<
operation
::
plus
>
(
[
rho
,
rho_inv
]
CUDA_LAMBDA
(
const
Real
&
g
)
{
return
(
g
>
rho
)
?
0
:
1
-
g
*
rho_inv
;
},
gap
);
}
void
MaugisAdhesionFunctional
::
computeGradF
(
GridBase
<
Real
>&
gap
,
GridBase
<
Real
>&
gradient
)
const
{
auto
rho
=
getParameters
().
at
(
"rho"
);
auto
rho_inv
=
1.
/
rho
;
auto
gamma
=
getParameters
().
at
(
"surface_energy"
);
Loop
::
loop
(
[
rho
,
rho_inv
,
gamma
]
CUDA_LAMBDA
(
const
Real
&
g
,
Real
&
grad
)
{
grad
+=
(
g
>
rho
)
?
0
:
gamma
*
rho_inv
;
},
gap
,
gradient
);
}
Real
SquaredExponentialAdhesionFunctional
::
computeF
(
GridBase
<
Real
>&
gap
,
GridBase
<
Real
>&
/*pressure*/
)
const
{
auto
rho_inv
=
1.
/
getParameters
().
at
(
"rho"
);
auto
rho_inv_2
=
rho_inv
*
rho_inv
;
auto
gamma
=
getParameters
().
at
(
"surface_energy"
);
return
-
gamma
*
Loop
::
reduce
<
operation
::
plus
>
(
[
rho_inv_2
]
CUDA_LAMBDA
(
const
Real
&
g
)
{
return
std
::
exp
(
-
0.5
*
g
*
g
*
rho_inv_2
);
},
gap
);
}
void
SquaredExponentialAdhesionFunctional
::
computeGradF
(
GridBase
<
Real
>&
gap
,
GridBase
<
Real
>&
gradient
)
const
{
auto
rho_inv
=
1.
/
getParameters
().
at
(
"rho"
);
auto
rho_inv_2
=
rho_inv
*
rho_inv
;
auto
gamma
=
getParameters
().
at
(
"surface_energy"
);
Loop
::
loop
(
[
rho_inv_2
,
gamma
]
CUDA_LAMBDA
(
const
Real
&
g
,
Real
&
grad
)
{
grad
+=
g
*
rho_inv_2
*
gamma
*
std
::
exp
(
-
0.5
*
g
*
g
*
rho_inv_2
);
},
gap
,
gradient
);
}
}
// namespace functional
__END_TAMAAS__
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