/*---------------------------------------------------------------------------*\ ========= | \\ / 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; } // ************************************************************************* //