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BUGFIX: View factor smoothing now takes into account reciprocity condition

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This commit is contained in:
Henrik Rusche 2019-02-19 11:06:50 +01:00
parent 78276e48af
commit 70ed6ba967
1 changed files with 239 additions and 8 deletions
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247
src/thermophysicalModels/radiation/radiationModel/viewFactor/viewFactor.C
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@ -64,7 +64,7 @@ void Foam::radiation::viewFactor::initialise()
}
}
selectedPatches_.resize(count--);
selectedPatches_.resize(count);
if (debug)
{
@ -173,6 +173,82 @@ void Foam::radiation::viewFactor::initialise()
globalIndex globalNumbering(nLocalCoarseFaces_);
// Calculate global face areas
scalarField compactCoarseMagSf(map_->constructSize(), 0.0);
DynamicList<scalar> localCoarseMagSf(nLocalCoarseFaces_);
forAll (selectedPatches_, i)
{
label patchID = selectedPatches_[i];
const scalarField& sf = mesh_.magSf().boundaryField()[patchID];
const polyPatch& pp = coarseMesh_.boundaryMesh()[patchID];
const labelList& coarsePatchFace = coarseMesh_.patchFaceMap()[patchID];
scalarList magSf(pp.size(), 0.0);
if (pp.size() > 0)
{
const labelList& agglom = finalAgglom_[patchID];
label nAgglom = max(agglom) + 1;
labelListList coarseToFine(invertOneToMany(nAgglom, agglom));
forAll (coarseToFine, coarseI)
{
const label coarseFaceID = coarsePatchFace[coarseI];
const labelList& fineFaces = coarseToFine[coarseFaceID];
UIndirectList<scalar> fineSf
(
sf,
fineFaces
);
magSf[coarseI] = sum(fineSf());
}
}
localCoarseMagSf.append(magSf);
}
// Fill the local values to distribute
SubList<scalar>(compactCoarseMagSf, nLocalCoarseFaces_).assign(localCoarseMagSf);
// Distribute data
map_->distribute(compactCoarseMagSf);
// Distribute local global ID
labelList compactGlobalIds(map_->constructSize(), 0.0);
labelList localGlobalIds(nLocalCoarseFaces_);
for(label k = 0; k < nLocalCoarseFaces_; k++)
{
localGlobalIds[k] = globalNumbering.toGlobal(Pstream::myProcNo(), k);
}
SubList<label>
(
compactGlobalIds,
nLocalCoarseFaces_
).assign(localGlobalIds);
map_->distribute(compactGlobalIds);
// Create global size vectors
scalarField coarseMagSf(totalNCoarseFaces_, 0.0);
// Fill lists from compact to global indexes.
forAll (compactCoarseMagSf, i)
{
coarseMagSf[compactGlobalIds[i]] = compactCoarseMagSf[i];
}
Pstream::listCombineGather(coarseMagSf, maxEqOp<scalar>());
Pstream::listCombineScatter(coarseMagSf);
if (Pstream::master())
{
Fmatrix_.reset
@ -200,18 +276,173 @@ void Foam::radiation::viewFactor::initialise()
{
Info<< "Smoothing the matrix..." << endl;
for (label i=0; i<totalNCoarseFaces_; i++)
// HR 19.02.19: Old smoothing messed up the reciprocity condition:
// A_i*F_ij = A_j*F_ji. The new algorithm distributes the error
// in two passes moving downwards and upwards through the rows.
// On the way down, only the upper triangular is updated from the
// closedness condition: sum_j(F_ij) = 1; the lower triangular is
// updated from reciprocity. The reverse happen on the way up.
if(debug)
{
scalar sumF = 0.0;
for (label j=0; j<totalNCoarseFaces_; j++)
scalar maxErr = -GREAT;
scalar minSumF = GREAT;
scalar maxSumF = -GREAT;
for (label i=0; i<totalNCoarseFaces_; i++)
{
sumF += Fmatrix_()[i][j];
scalar sumF = 0.0;
for (label j=0; j<totalNCoarseFaces_; j++)
{
sumF += Fmatrix_()[i][j];
}
maxErr = max(maxErr, mag(sumF - 1.0));
minSumF = min(minSumF, sumF);
maxSumF = max(maxSumF, sumF);
}
scalar delta = 1.0 - sumF;
for (label j=0; j<totalNCoarseFaces_; j++)
Info << "max err = " << maxErr
<< " min sumF = " << minSumF
<< " max sumF = " << maxSumF << endl;
}
label iter = 0;
label maxIter = 20;
while(true)
{
iter++;
for (label i=0; i<totalNCoarseFaces_; i++)
{
Fmatrix_()[i][j] *= (1.0 - delta/(sumF + 0.001));
scalar sumF1 = 0.0;
for (label j=0; j<i; j++)
{
sumF1 += Fmatrix_()[i][j];
}
if(sumF1 > 1.0)
{
continue;
}
scalar sumF2 = 0.0;
for (label j=i+1; j<totalNCoarseFaces_; j++)
{
sumF2 += Fmatrix_()[i][j];
}
if(sumF2 < SMALL)
{
continue;
}
const scalar corr = (1.0 - sumF1)/sumF2;
const scalar magSfi = coarseMagSf[i];
for (label j=i+1; j<totalNCoarseFaces_; j++)
{
Fmatrix_()[i][j] *= corr;
Fmatrix_()[j][i] = Fmatrix_()[i][j]*magSfi/coarseMagSf[j];
}
}
{
scalar maxErr = -GREAT;
scalar minSumF = GREAT;
scalar maxSumF = -GREAT;
for (label i=0; i<totalNCoarseFaces_; i++)
{
scalar sumF = 0.0;
for (label j=0; j<totalNCoarseFaces_; j++)
{
sumF += Fmatrix_()[i][j];
}
maxErr = max(maxErr, mag(sumF - 1.0));
minSumF = min(minSumF, sumF);
maxSumF = max(maxSumF, sumF);
}
if(debug)
{
Info << "max err = " << maxErr
<< " min sumF = " << minSumF
<< " max sumF = " << maxSumF << endl;
}
if(maxErr < 1e-6 || iter == maxIter)
{
break;
}
}
iter++;
for (label i=totalNCoarseFaces_-1; i>=0; i--)
{
scalar sumF1 = 0.0;
for (label j=0; j<i; j++)
{
sumF1 += Fmatrix_()[i][j];
}
if(sumF1 < SMALL)
{
continue;
}
scalar sumF2 = 0.0;
for (label j=i+1; j<totalNCoarseFaces_; j++)
{
sumF2 += Fmatrix_()[i][j];
}
if(sumF2 > 1.0)
{
continue;
}
const scalar corr = (1.0 - sumF2)/sumF1;
const scalar magSfi = coarseMagSf[i];
for (label j=0; j<i; j++)
{
Fmatrix_()[i][j] *= corr;
Fmatrix_()[j][i] = Fmatrix_()[i][j]*magSfi/coarseMagSf[j];
}
}
{
scalar maxErr = -GREAT;
scalar minSumF = GREAT;
scalar maxSumF = -GREAT;
for (label i=0; i<totalNCoarseFaces_; i++)
{
scalar sumF = 0.0;
for (label j=0; j<totalNCoarseFaces_; j++)
{
sumF += Fmatrix_()[i][j];
}
maxErr = max(maxErr, mag(sumF - 1.0));
minSumF = min(minSumF, sumF);
maxSumF = max(maxSumF, sumF);
}
if(debug)
{
Info << "max err = " << maxErr
<< " min sumF = " << minSumF
<< " max sumF = " << maxSumF << endl;
}
if(maxErr < 1e-6 || iter == maxIter)
{
break;
}
}
}
if(iter != maxIter)
{
Info << "converged in " << iter << " iterations" << endl;
}
else
{
Info << "not converged in " << iter << " iterations" << endl;
}
}