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using non-orthogonal correction for the laplacian term |
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#1 |
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Senior Member
Steven van Haren
Join Date: Aug 2010
Location: The Netherlands
Posts: 149
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Dear all,
Hopefully one of you can help me with the following question: If one uses (in fvSchemes): laplacian(nu,U) Gauss linear corrected; which correction is referred to? minimum correction, orthogonal correction or over-relaxed? (as referred to in the thesis of Jasak) Thanks in advance. |
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#2 |
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Travis Carrigan
Join Date: Jul 2010
Location: Arlington, TX
Posts: 161
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Hello,
I believe this is simply an orthogonal correction, used mainly for highly orthogonal grids (such as high aspect ratio anisotropic tets). |
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#3 | |
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Senior Member
Steven van Haren
Join Date: Aug 2010
Location: The Netherlands
Posts: 149
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Quote:
Ok, I understand this, I try to use it on polyhedral grids. But do you also know how this orthogonal correction is implemented? Jasak refers to three different possibilities (minimum correction, orthogonal correction or over-relaxed) which are all orthogonal corrections bu with different numerical behaviour. |
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#4 |
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Senior Member
Santiago Marquez Damian
Join Date: Aug 2009
Location: Santa Fe, Santa Fe, Argentina
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Until we've studied over-relaxed approach is what is implemented. Take a look of gaussLaplacianScheme.C lines 169-173, correctedSnGrad.C lines 56-108 and surfaceInterpolation.C lines 270-384.
Regards.
__________________
Santiago MÁRQUEZ DAMIÁN, Ph.D. Research Scientist Research Center for Computational Methods (CIMEC) - CONICET/UNL Tel: 54-342-4511594 Int. 7032 Colectora Ruta Nac. 168 / Paraje El Pozo (3000) Santa Fe - Argentina. http://www.cimec.org.ar |
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#5 |
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Senior Member
Steven van Haren
Join Date: Aug 2010
Location: The Netherlands
Posts: 149
Rep Power: 17 ![]() |
Great references to the code lines Santiago!
It is very clear now to me. |
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