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About ADM(approximate deconvolution model) and repeated filtering of ui

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Old   February 4, 2018, 21:01
Question About ADM(approximate deconvolution model) and repeated filtering of ui
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Hi guys,
Does anybody know ADM (approximate deconvolution model) and the repeated filtering of ui very well?

I wonder if there existed some codes (function) in OpenFoam to solve those repeated filtering of ui. Or how to implement those process in C++ code?


Thanks very much!
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Old   February 4, 2018, 21:14
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The repeated filtering of ui is shown as follows.
ADM.JPG
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Old   February 5, 2018, 16:47
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There is a class in openFOAM called 'LESfilter' for which you have to define a dictionary with the filter of your preference (box, laplace). The usage is really simple.

Regarding ADM, I dont know how easy is to implement it on the PISO framework since the convective term can be solved implicitly. The problem with ADM formulation is thatyou have to advance in time the de-filtered (deconvoluted?) Convective term, forcing the use of an explicit time advancement for it (Adam-Bashford, RK4).
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Old   February 5, 2018, 19:09
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Thanks very much.
The class 'LESFilter' in OpenFoam contains more than 'one-order' filtering?
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Old   February 8, 2018, 04:15
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Quote:
Originally Posted by NewKid View Post
Thanks very much.
The class 'LESFilter' in OpenFoam contains more than 'one-order' filtering?
What do you mean by one-order?
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Old   February 26, 2018, 01:00
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Dear Santiago, I'm sorry not to replay in time because I've spent some days on Spring Festival vacation with my family.
As for the LESFilter class, I've read the files, which seems like an abstract class, and I wonder if you could provide some examples like how to define a dictionary with the filter.
The so-called "one-order" filtering is not very accurate, in fact , I mean "one-time" filtering like 1.JPG, "two-time" filtering like 2.JPG, and "three-time" filtering like 3.JPG.
I wonder how these repeated filtering can be understood and how to code to implement these (in OpenFOAM as defined filters in LESFilter class or pure C/C++).
Thanks very much.
Best regards!
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Old   February 27, 2018, 04:54
Default laplaceFilter -- source code
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As far as the types of filters implemented in foam-extend go, the one you might want to give a look at is the laplaceFilter. The source code is located in src/turbulenceModels/LES/LESfilters/laplaceFilter

This particular set of filters (yes, is a family depending of the choice of filter length) was proposed by M. Germano in 1986. About the approximate deconvolution, you'll just have to apply the filter repeatedly for the first three terms of the inverse series (N=5).
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Old   March 17, 2018, 21:16
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Hi, Santiago,
I installed OpenFoam 4 in Ubuntu 16.04. The path of laplaceFilter you mentioned is "/opt/openfoam4/src/TurbulenceModels/turbulenceModels/LES/LESfilter/laplaceFilter", which is a little different from yours.
After reading the laplaceFilter.H and laplaceFilter.C files, I think laplaceFilter(const fvmesh& mesh, scalar widthCoeff) or laplaceFilter(const fvmesh& mesh, const dictionary& db) is enough for the filtering of ui, is that right?
As you mentioned, I should repeat the filtering of first three terms of the inverse series, what do the first three terms of the inverse series mean?
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