anisotropic diffusion fvm::laplacian
I have had a look at the implicit discretization of anisotropic diffusion (fvm::laplacian).
It seems to me that the implementation is wrong. At least I haven't yet managed to figure out why the coefficients are as they are.
It is fairly easy to follow in Ferzinger & Peric how the non-orthogonal correction approach is done for scalar "gamma" fields.
For tensor fields it's a bit more tricky.
What is being passed to the uncorrected (implicit) laplacian function is the scalar field sfGammaSn.
For me it would make sense to pass a vector field sfGamma and then split the derivative nabla(vf) into a derivative along d and a derivative along
I think the way fvm::laplacian is implemented now shouldn't even work for scalar "gammas" right?
Otherwise there wouldn't exist a template version for fvm::laplacians for scalars.
I would appriciate if anybody can exchange thoughts on this topic / approves my thoughts / teaches me wrong / explains to me the implementation.
template<class Type, class GType>
const surfaceScalarField& gammaMagSf, actually passes sfGammaSn
const GeometricField<Type, fvPatchField, volMesh>& vf
tmp<surfaceScalarField> tdeltaCoeffs =
const surfaceScalarField& deltaCoeffs = tdeltaCoeffs();
tmp<fvMatrix<Type> > tfvm
fvMatrix<Type>& fvm = tfvm();
fvm.upper() = deltaCoeffs.internalField()*gammaMagSf.internalFie ld();
I figured out that the coeffs indeed correspond to what I've derived
which is (Sf dot Gamma dot Sf)/(Sf dot d) ... for the uncorrected laplacian.
I hope I didn't confuse anyone that read this message! If so, sorry!
|All times are GMT -4. The time now is 08:48.|