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January 21, 2013, 10:15 
Smagorinsky term in SGS kinetic energy equation

#1 
New Member
Ivan
Join Date: Aug 2012
Posts: 22
Rep Power: 5 
Dear all,
I want to model the equation for the SGS turbulent kinetic energy (TKE) in LES context. Without entering the details, I have two terms I am dealing with. The first is the triple correlation (a) 1/2*(  ) which I model as c*rho*delta*sqrt(k)*dk/dt, where k is the SGS TKE and c is a certain constant, and i put together with the diffusion term. All ok until here. There is, however, the term (b) where is the residual term of the momentum equation, modelled as (c) My code follows a finite volume approach. I do not know then how to calculate this term (b). For example, is there a easy way to insert this term into the diffusion term? How this term is usually modelled (ex. implicitely or explicitely)?. Is there some paper to look at? Hope someone can help! 

January 21, 2013, 12:19 

#2 
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Filippo Maria Denaro
Join Date: Jul 2010
Posts: 1,651
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Quote:
Maybe I have not well understood your question, but for what I see the term b) is in divergence form, thus I don't see particular problems to insert it in a finite volume constest... is the additional flux ... 

January 21, 2013, 13:43 

#3  
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Ivan
Join Date: Aug 2012
Posts: 22
Rep Power: 5 
Quote:
The procedure to calculate the flux requires first the calculation of (which involves also an interpolation from points at the cell center to point at boardercell surface centers) and then a second interpolation to the surface centers. When I look at the TKE for RANS, this term is never present, so I was wondering if it is usually neglected for some reason or incorporated in some other term in some way. Of course, if not, the solution will be to compute the flux! =) 

January 21, 2013, 16:22 

#4 
Senior Member
Filippo Maria Denaro
Join Date: Jul 2010
Posts: 1,651
Rep Power: 23 
Quote:
I never worked personally on LES modelling supplied by the kinetic energy equation, I suggest to have a look at the book of Sagaut, you can find the TKE equation and have an idea of the modelling approximations 

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