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#1 |
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Daniel WEI (老魏)
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Sorry, I do not understand, I saw in "Smagorinsky.H",
Code:
tmp<volScalarField> k(const tmp<volTensorField>& gradU) const { return (2.0*ck_/ce_)*sqr(delta())*magSqr(dev(symm(gradU))); } ![]() Question 1: Why using magSqr(dev(symm(gradU))) instead of symm(gradU) && symm(gradU) to get ![]() Question 2: If magSqr(dev(symm(gradU))) = symm(gradU) && symm(gradU) = ![]() ![]() But I saw in "Smagorinsky.C" Code:
nuSgs_ = ck_*delta()*sqrt(k(gradU)); ![]() Then, replace K with ![]() ![]() Compare with ![]() We'll get ![]() But I heard somone said ![]() So, I'm puzzled, I wonder if it was a mistake, that k should be written as Code:
tmp<volScalarField> k(const tmp<volTensorField>& gradU) const { return (ck_/ce_)*sqr(delta())*magSqr(dev(symm(gradU))); } Thank you
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~ Daniel WEI ------------- Boeing Research & Technology - China Beijing, China |
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#2 |
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Gabriela Bracho
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Hi Daniel,
Did you find any answer to this question?. in the paper: "A SUBGRID-SCALE MODEL FOR LARGE-EDDY SIMULATION OF PLANETARY BOUNDARY-LAYER FLOWS PETER E SULLIVAN, JAMES C. McWILLIAMS, and CHIN-HOH MOENG" 1994, they defined Cs as: Cs=(Ck*(Ck/Ce)^0.5)^0.5 So, I think you are right... Now, I'm confused, why it is defined in Smagorinsky.H like 2*Ck/Ce ?? Is it because of the symm(grad(U)) definition??? It would be great if you could share your opinion... Gaby |
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#3 |
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Daniel WEI (老魏)
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Sorry, you see, no one come and help.
And you have noticed, I have done a detailed deduction in my top post, I still don't know why they use
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~ Daniel WEI ------------- Boeing Research & Technology - China Beijing, China |
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#4 | |
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Sandy Lee
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Quote:
Sandy sandy.lee37@gmail.com |
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#5 |
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Andrea Petronio
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Hallo,
I was also trying to understand the implementation of Smagorinsky model. As it is said here http://www.cfd-online.com/Forums/ope...rain-rate.html the definition of the norm of a tensor differs from what is computed in OF, so in my opinion the 2 before ck_/ce_ is exaclty the missing sqr(2) in the definition. so, if |S| = sqrt(2 S:S) then 2 magSqr(S) = 2 sqrt(S:S)^2 = sqrt(2*S:S)^2 = |S|^2 Am I right? PS: default Smagorinsky constant should be Cs =0.1677 (in Pope's book is said to be around 0.17) given ck=0.094, ce= 1.048 |
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#6 |
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Hello
I am also trying to understand how the Smagorinsky model is coded, for the incompressible version and also for the compressible version. And It seems that for the incompressible Smagorinsky model, the default constant Cs is equal to Cs=sqrt(ck*sqrt(2*ck/ce)) If I define Cs such that the eddy viscosity is equal to nuSgs=( Cs *delta)^2 * ||D|| if ck=0.094 and ce=1.048 then Cs=0.1995.. ~ 0.2 Same question as Andrea : am I right? |
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#8 |
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Alberto Passalacqua
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Alberto Passalacqua GeekoCFD - A free distribution based on openSUSE 64 bit with CFD tools, including OpenFOAM. Available as in both physical and virtual formats (current status: http://albertopassalacqua.com/?p=1541) OpenQBMM - An open-source implementation of quadrature-based moment methods. To obtain more accurate answers, please specify the version of OpenFOAM you are using. ![]() |
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#9 |
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Thanks Alberto for the useful reference.
As MaximeIST and lakeat told if we compare what is stated in your reference and openFoam smagorinsky with Pope's book we reach to Cs=0.2. As stated in Pope's book this constant can be 0.1~0.2 and using 0.2 can be cause of high diffusivity. Please tell me if this is true. My cyclone simulation with Smagorinsky has high diffusivity and i want use 0.1 for Cs, How can i do that? Which one of Ck or Ce should be changed? I mean are they be used elsewhere or not? Regards, Last edited by maysmech; May 1, 2011 at 14:03. |
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#10 |
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Alberto Passalacqua
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I'd just use the dynamic Smagorinsky model, so that you do not have to fiddle with the coefficient, and you do not need to play with dumping functions.
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Alberto Passalacqua GeekoCFD - A free distribution based on openSUSE 64 bit with CFD tools, including OpenFOAM. Available as in both physical and virtual formats (current status: http://albertopassalacqua.com/?p=1541) OpenQBMM - An open-source implementation of quadrature-based moment methods. To obtain more accurate answers, please specify the version of OpenFOAM you are using. ![]() |
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#11 |
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桂莹
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Hi,Andrea:
I think what you have said is right,the reason is just the different expression of Vsgs |
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#13 |
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桂莹
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hi,Maysam:
since Cs=sqrt(ck*sqrt(*ck/ce), in smagorinsky.c Ck=0.094 , in GenEddyVisc.c Ce=1.048, then Cs=0.167 as we all know ,am I right? |
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#15 |
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Andrea Petronio
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It's Cs \approx 0.17. You need just to follow the way it's computed. The question is why the simple Smagorinsky model is implemented in a such confusing way? We re-wrote our Smag. with just Cs required.
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#16 | |
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I may keep on confusing people, but the way it is coded, if I am not doing mistake is Cs=sqrt(ck*sqrt(2*ck/ce)) in the incompressible Smagorinsky.H line 114. There is a factor 2 added in the root-mean squared. And in the case where Ce=1.048 and Ck=0.094, and with this factor 2, we obtain Cs=0.1995. May be I miss something? Maxime |
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#17 | |
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桂莹
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Quote:
In the incompressible Smagorinsky.H line 114,it's the expression of K,not Ck,it means k=2Ck/Ce*(delta^2)*(Sof^2),may be my blog can help you: http://blog.sina.com.cn/s/blog_6d9c27ab0100u9ez.html it's just what I think, I'm not sure. |
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#18 |
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Hello Yingkun
I agree with you that it is the expression of k which is in line 114 of the Smagorinsky.H. But the factor 2 is still there and as lakeat shown in the first message of this thread, we still get Cs=sqrt(ck*sqrt(2*ck/ce)) I have been in your blog, and I think you lost this factor 2 in the passage of equation (7) to the last equation of the page. Maxime |
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#19 | |
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桂莹
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I think you don't understand exactly what I mean,the difference is just caused by the different expressions of S between turbulent therory and Openfoam,there is a factor of sqrt(2) difference,lakeat just regards them the same |
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#20 | |
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It's true I don't understand what is written in your blog, chinese is not easy for me ![]() So you said that the sqrt(2) is a consequence of the definition of S in OpenFoam. In this case, the default constant in the incompressible Smagorinsky is 0.167. good to know! |
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