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178 lines
4.4 KiB
C
178 lines
4.4 KiB
C
/*---------------------------------------------------------------------------*\
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========= |
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\\ / F ield | OpenFOAM: The Open Source CFD Toolbox
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\\ / O peration |
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\\ / A nd | Copyright (C) 2017 OpenCFD Ltd.
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\\/ M anipulation |
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-------------------------------------------------------------------------------
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License
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This file is part of OpenFOAM.
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OpenFOAM is free software: you can redistribute it and/or modify i
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under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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OpenFOAM is distributed in the hope that it will be useful, but WITHOUT
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ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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for more details.
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You should have received a copy of the GNU General Public License
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along with OpenFOAM. If not, see <http://www.gnu.org/licenses/>.
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\*---------------------------------------------------------------------------*/
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#include "leastSquaresCellCellStencil.H"
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#include "addToRunTimeSelectionTable.H"
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#include "SVD.H"
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// * * * * * * * * * * * * * * Static Data Members * * * * * * * * * * * * * //
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namespace Foam
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{
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namespace cellCellStencils
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{
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defineTypeNameAndDebug(leastSquares, 0);
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addToRunTimeSelectionTable(cellCellStencil, leastSquares, mesh);
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}
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}
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// * * * * * * * * * * * * * Private Member Functions * * * * * * * * * * * //
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void Foam::cellCellStencils::leastSquares::stencilWeights
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(
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const point& sample,
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const pointList& donorCcs,
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scalarList& weights
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) const
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{
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// Implicit least squares weighting
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// Number of donors
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label nD = donorCcs.size();
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weights.setSize(nD);
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// List for distance vectors and LSQ weights
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List<vector> d(nD);
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scalarList LSQw(nD);
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// Sum of weights
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scalar W = 0;
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// Sum of weighted distance vectors
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vector dw = vector::zero;
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RectangularMatrix<scalar> A(nD, 3);
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bool shortC = false;
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// Compute distance vectors and fill rectangular matrix
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forAll(donorCcs, j)
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{
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// Neighbour weights
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d[j] = donorCcs[j] - sample;
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// Check for short-circuiting if zero distance
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// is detected with respect to any donor
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if (mag(d[j]) < ROOTVSMALL)
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{
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shortC = true;
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break;
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}
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LSQw[j] = 1.0/magSqr(d[j]);
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// T matrix
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vector wd = LSQw[j]*d[j];
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A[j][0] = wd.x();
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A[j][1] = wd.y();
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A[j][2] = wd.z();
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// Sum of weighted distance vectors
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dw += wd;
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// Sum of weights
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W += LSQw[j];
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}
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if (!shortC)
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{
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// Use Singular Value Decomposition to avoid problems
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// with 1D, 2D stencils
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SVD svd(A.T()*A, SMALL);
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// Least squares vectors
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RectangularMatrix<scalar> ATAinvAT(svd.VSinvUt()*A.T());
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scalar saveDiag(W);
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// Diagonal coefficient
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for (label i = 0; i < 3; i++)
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{
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// Get row
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scalarList Row(UList<scalar>(ATAinvAT[i], nD));
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forAll(donorCcs, j)
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{
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W -= Row[j]*LSQw[j]*dw[i];
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}
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}
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if (mag(W) < SMALL*mag(saveDiag))
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{
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shortC = true;
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}
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else
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{
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// Compute final neighbour weights with additional scaling
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forAll(donorCcs, j)
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{
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weights[j] =
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(
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LSQw[j]
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- ATAinvAT[0][j]*LSQw[j]*dw[0]
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- ATAinvAT[1][j]*LSQw[j]*dw[1]
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- ATAinvAT[2][j]*LSQw[j]*dw[2]
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)
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/W;
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}
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}
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}
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if (shortC)
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{
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// Matrix ill conditioned. Use straight injection from central
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// donor.
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weights = 0.0;
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weights[0] = 1.0;
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}
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}
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// * * * * * * * * * * * * * * * * Constructors * * * * * * * * * * * * * * //
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Foam::cellCellStencils::leastSquares::leastSquares
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(
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const fvMesh& mesh,
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const dictionary& dict,
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const bool doUpdate
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)
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:
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inverseDistance(mesh, dict, false)
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{
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if (doUpdate)
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{
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update();
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}
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}
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// * * * * * * * * * * * * * * * * Destructor * * * * * * * * * * * * * * * //
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Foam::cellCellStencils::leastSquares::~leastSquares()
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{}
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// ************************************************************************* //
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