/*---------------------------------------------------------------------------*\
========= |
\\ / F ield | OpenFOAM: The Open Source CFD Toolbox
\\ / O peration | Website: https://openfoam.org
\\ / A nd | Copyright (C) 2018-2025 OpenFOAM Foundation
\\/ M anipulation |
-------------------------------------------------------------------------------
License
This file is part of OpenFOAM.
OpenFOAM is free software: you can redistribute it and/or modify it
under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
OpenFOAM 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 General Public License
for more details.
You should have received a copy of the GNU General Public License
along with OpenFOAM. If not, see .
\*---------------------------------------------------------------------------*/
#include "cutPolyIntegral.H"
#include
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
namespace Foam
{
namespace cutPoly
{
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
template
struct OffsetSequence;
template
struct OffsetSequence>
{
using type = std::integer_sequence;
};
template
struct RangeSequence
{
using type =
typename OffsetSequence
<
Int,
Min,
std::make_index_sequence
>::type;
};
template
auto tupleSubset
(
const Tuple& tuple,
const std::integer_sequence&
)
{
return std::make_tuple(std::get(tuple) ...);
}
template
auto tupleSubset
(
const Tuple& tuple,
const std::integer_sequence&,
const Op& op
)
{
return std::make_tuple(op(std::get(tuple)) ...);
}
template
auto tupleTail(const std::tuple& tuple)
{
return
tupleSubset
(
tuple,
typename RangeSequence::type()
);
}
template
auto tupleOp(const std::tuple& tuple, const Op& op)
{
return
tupleSubset
(
tuple,
std::make_index_sequence(),
op
);
}
template
void tupleInPlaceOp
(
Tuple& tuple,
const std::integer_sequence&,
const Op& op
)
{
(void)std::initializer_list
{(
op(std::get(tuple)),
nil()
) ... };
}
template
void tupleInPlaceOp(std::tuple& tuple, const Op& op)
{
tupleInPlaceOp(tuple, std::make_index_sequence(), op);
}
template
auto tupleBinaryOp
(
const Tuple& tupleA,
const Tuple& tupleB,
const std::integer_sequence&,
const BinaryOp& bop
)
{
return std::make_tuple(bop(std::get(tupleA), std::get(tupleB)) ...);
}
template
auto tupleBinaryOp
(
const std::tuple& tupleA,
const std::tuple& tupleB,
const BinaryOp& bop
)
{
return tupleBinaryOp
(
tupleA,
tupleB,
std::make_index_sequence(),
bop
);
}
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
} // End namespace cutPoly
} // End namespace Foam
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
template class FaceValues, class ... Types>
Foam::Tuple2
<
Foam::vector,
std::tuple ...>
>
Foam::cutPoly::faceAreaIntegral
(
const FaceValues& fPs,
const point& fPAvg,
const std::tuple ...>& fPsis,
const std::tuple& fPsiAvgs
)
{
vector fCutsArea = Zero;
auto fCutsAreaPsi = std::make_tuple(AreaIntegralType(Zero) ...);
typename FaceValues::const_iterator fPIter(fPs.begin());
auto fPsiIter = tupleOp(fPsis, OpBegin());
for(; fPIter != fPs.end(); ++ fPIter)
{
const point p0 = *fPIter;
const point p1 = fPIter.next();
auto psi0 = tupleOp(fPsiIter, OpDereference());
auto psi1 = tupleOp(fPsiIter, OpNext());
const vector a = ((p1 - p0)^(fPAvg - p0))/2;
fCutsArea += a;
fCutsAreaPsi =
tupleBinaryOp
(
fCutsAreaPsi,
tupleOp
(
tupleBinaryOp
(
psi0,
tupleBinaryOp
(
psi1,
fPsiAvgs,
BinaryOpAdd()
),
BinaryOpAdd()
),
OpScaled(a/3)
),
BinaryOpAdd()
);
tupleInPlaceOp(fPsiIter, InPlaceOpAdvance());
}
return
Tuple2 ...>>
(
fCutsArea,
fCutsAreaPsi
);
}
template class FaceValues, class ... Types>
Foam::Tuple2>
Foam::cutPoly::faceAreaAverage
(
const FaceValues& fPs,
const point& fPAvg,
const std::tuple ...>& fPsis,
const std::tuple& fPsiAvgs
)
{
auto fSumPPsis = faceAreaIntegral(fPs, fPAvg, fPsis, fPsiAvgs);
const vector& fArea = fSumPPsis.first();
const scalar fMagSqrArea = magSqr(fArea);
return
Tuple2>
(
fArea,
fMagSqrArea > vSmall
? tupleOp(fSumPPsis.second(), OpPreInner(fArea/fMagSqrArea))
: fPsiAvgs
);
}
template
Foam::Tuple2
<
Foam::vector,
std::tuple ...>
>
Foam::cutPoly::faceCutAreaIntegral
(
const face& f,
const vector& fArea,
const std::tuple& fPsis,
const List& fCuts,
const pointField& ps,
const std::tuple& ...>& pPsis,
const scalarField& pAlphas,
const scalar isoAlpha,
const bool below
)
{
// If there are no cuts return either the entire face or zero, depending on
// which side of the iso-surface the face is
if (fCuts.size() == 0)
{
if ((pAlphas[f[0]] < isoAlpha) == below)
{
return
Tuple2 ...>>
(
fArea,
tupleOp(fPsis, OpScaled(fArea))
);
}
else
{
return
Tuple2 ...>>
(
vector::zero,
std::make_tuple(pTraits>::zero ...)
);
}
}
return
faceAreaIntegral
(
FaceCutValues(f, fCuts, ps, pAlphas, isoAlpha, below),
OpIndirectAverage(f)(ps),
tupleOp(pPsis, OpFaceCutValues(f, fCuts, pAlphas, isoAlpha, below)),
tupleOp(pPsis, OpIndirectAverage(f))
);
}
template
Foam::Tuple2>
Foam::cutPoly::cellVolumeIntegral
(
const cell& c,
const cellEdgeAddressing& cAddr,
const point& cPAvg,
const std::tuple& cPsiAvgs,
const vectorField& fAreas,
const pointField& fCentres,
const std::tuple& ...>& fPsis
)
{
scalar cVolume = 0;
std::tuple cVolumePsis(pTraits::zero ...);
forAll(c, cfi)
{
const scalar pyrVolume =
(cAddr.cOwns()[cfi] ? +1 : -1)
*(fAreas[c[cfi]] & (fCentres[c[cfi]] - cPAvg))/3;
cVolume += pyrVolume;
cVolumePsis =
tupleBinaryOp
(
cVolumePsis,
tupleBinaryOp
(
tupleOp
(
tupleOp(fPsis, OpIndex(c[cfi])),
OpScaled(scalar(3)/scalar(4)*pyrVolume)
),
tupleOp
(
cPsiAvgs,
OpScaled(scalar(1)/scalar(4)*pyrVolume)
),
BinaryOpAdd()
),
BinaryOpAdd()
);
}
return Tuple2>(cVolume, cVolumePsis);
}
template
Foam::Tuple2>
Foam::cutPoly::cellCutVolumeIntegral
(
const cell& c,
const cellEdgeAddressing& cAddr,
const scalar cVolume,
const std::tuple& cPsis,
const labelListList& cCuts,
const faceUList& fs,
const vectorField& fAreas,
const pointField& fCentres,
const std::tuple& ...>& fPsis,
const vectorField& fCutAreas,
const std::tuple& ...>& fCutPsis,
const pointField& ps,
const std::tuple& ...>& pPsis,
const scalarField& pAlphas,
const scalar isoAlpha,
const bool below
)
{
// If there are no cuts return either the entire cell or zero, depending on
// which side of the iso-surface the cell is
if (cCuts.size() == 0)
{
if ((pAlphas[fs[c[0]][0]] < isoAlpha) == below)
{
return
Tuple2>
(
cVolume,
tupleOp(cPsis, OpScaled(cVolume))
);
}
else
{
return
Tuple2>
(
scalar(0),
std::make_tuple(pTraits::zero ...)
);
}
}
// Averages
const point cPAvg = OpIndirectAverage(c)(fCentres);
auto cPsiAvgs = tupleOp(fPsis, OpIndirectAverage(c));
// Face contributions. We use the un-cut face's centroid as the base of the
// pyramid formed by the cut face (see !!! below). This is potentially less
// exact than using the cut face's centroid, but it is consistent with the
// un-cut cell volume calculation. This means if you run this function with
// both values of "below" then the result will exactly sum to the volume of
// the overall cell. If we used the cut-face's centroid this would not be
// the case.
auto result =
cellVolumeIntegral
(
c,
cAddr,
cPAvg,
cPsiAvgs,
fCutAreas,
fCentres, // !!!
fCutPsis
);
// Create readably named references to the parts of the result
scalar& cCutsVolume = result.first();
std::tuple& cCutsVolumePsis = result.second();
// Cut contributions
const cutPoly::CellCutValues cCutPValues
(
c,
cAddr,
cCuts,
fs,
ps,
pAlphas,
isoAlpha
);
const point cCutPAvg = OpIterableAverage()(cCutPValues);
auto cCutPsiValues =
tupleOp
(
pPsis,
OpCellCutValues
(
c,
cAddr,
cCuts,
fs,
pAlphas,
isoAlpha
)
);
auto cCutPsiAvgs = tupleOp(cCutPsiValues, OpIterableAverage());
// This method is more exact, as it uses the true centroid of the cell
// cut. However, to obtain that centroid we have to divide by the area
// magnitude, so this can't be generalised to types that do not support
// division.
const auto cCutAreaPPsis =
faceAreaAverage
(
cCutPValues,
cCutPAvg,
std::tuple_cat(std::make_tuple(cCutPValues), cCutPsiValues),
std::tuple_cat(std::make_tuple(cCutPAvg), cCutPsiAvgs)
);
const vector& cCutArea = cCutAreaPPsis.first();
const vector& cCutCentre = std::get<0>(cCutAreaPPsis.second());
const auto cCutPsis = tupleTail(cCutAreaPPsis.second());
/*
// This method is more approximate, as it uses point averages rather
// than centroids. This does not involve division, though, so this
// could be used with types like polynomials that only support addition
// and multiplication.
const vector cCutArea =
faceAreaIntegral
(
cCutPValues,
cCutPAvg,
std::make_tuple(),
std::make_tuple()
).first();
const point& cCutCentre = cCutPAvg;
const auto& cCutPsis = cCutPsiAvgs;
*/
const scalar pyrVolume =
(below ? +1 : -1)*(cCutArea & (cCutCentre - cPAvg))/3;
cCutsVolume += pyrVolume;
cCutsVolumePsis =
tupleBinaryOp
(
cCutsVolumePsis,
tupleBinaryOp
(
tupleOp
(
cCutPsis,
OpScaled(scalar(3)/scalar(4)*pyrVolume)
),
tupleOp
(
cPsiAvgs,
OpScaled(scalar(1)/scalar(4)*pyrVolume)
),
BinaryOpAdd()
),
BinaryOpAdd()
);
return result;
}
// ************************************************************************* //