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May 4, 2019, 17:04 |
Nu In Dynamic K-Equation model
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#1 |
New Member
priyesh kakka
Join Date: Jan 2018
Posts: 13
Rep Power: 8 |
Hi,
I was going through the formulation for K-Eqn and noticed that there is an term DkEff which is an addition of Nut and nu but nu multiplied by gradient of Ksgs (k_) term is not present in the paper of Kim and Menon, Code:
tmp<fvScalarMatrix> kEqn ( fvm::ddt(alpha, rho, k_) + fvm::div(alphaRhoPhi, k_) - fvm::laplacian(alpha*rho*DkEff(), k_) == alpha*rho*G - fvm::SuSp((2.0/3.0)*alpha*rho*divU, k_) - fvm::Sp(Ce(D, KK)*alpha*rho*sqrt(k_)/this->delta(), k_) + kSource() + fvOptions(alpha, rho, k_) ); Code:
//- Return the effective diffusivity for k tmp<volScalarField> DkEff() const { return tmp<volScalarField> ( new volScalarField("DkEff", this->nut_ + this->nu()) ); } Am I missing something obvious? I have attached the snip of the formula present in Kim and Menon |
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October 17, 2019, 11:37 |
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#2 | |
Senior Member
Ehsan Asgari
Join Date: Apr 2010
Posts: 473
Rep Power: 18 |
Quote:
I came across this issue as well. Did you find an explanation for that? Thanks, Syavash |
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October 17, 2019, 23:57 |
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#3 |
Senior Member
Lucky
Join Date: Apr 2011
Location: Orlando, FL USA
Posts: 5,761
Rep Power: 66 |
It's not a missing/extra term, but the terms have been re-arranged. Notice the term on the left hand side in foam is:
Code:
- fvm::laplacian(alpha*rho*DkEff(), k_) Code:
- fvm::Sp(Ce(D, KK)*alpha*rho*sqrt(k_)/this->delta(), k_) The reason for splitting the term into two is numerical. |
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Tags |
dynamic models, large eddy simulation., les, openfoam |
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