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Calculating dx+ and/or dz+

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Old   June 24, 2020, 13:31
Default Calculating dx+ and/or dz+
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Good afternoon,

I am running various scale-adaptive simulations as part of a university research project. Naturally, such simulations entail a good deal of post/pre processing. I have found most of the germane quantities (such as y+, integral length scale, and SGS viscosity) relatively straightforward to post/pre process, either directly or with CFFs. With this said, I have yet to find a way to calculate dx+/dz+ in Fluent. Does anyone know of a way these can be calculated (using CFFs or otherwise)?

While I am fairly certain my grid spacing is adequate, I would like to show some contours of the grid in terms of viscous units.

I found only one other thread with a similar topic (dx+ and dz+). However, I think there was some confusion.

Any help is greatly appreciated!
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Old   June 24, 2020, 14:25
Default dx+ and dz+
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It will be straightforward to calculate \Delta x^+ and \Delta z^+ provided the mesh is structured. Otherwise, you need to find a way to define streamwise and transverse dimensions of the cells. This is not easy for unstructured meshes.
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Old   June 24, 2020, 15:08
Default dx+ and dz+
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Thanks for your reply, vinerm.

Unfortunately my geometry is not conducive to structured meshing. I assumed it would require a good bit of work to calculate, given my meshes are unstructured tetra. I just wanted to make sure I was not overlooking something in Fluent.

As a side note for anyone else interested, in ANSYS "Quick Guide to Setting up LES-type Simulations" the authors claim dx+/dz+ can be approximated using the CFF "sqrt(face-area-magnitude)*y-plus/cellwall-distance." I suspect this is only accurate to within an order of magnitude though.

Last edited by Leibniz; June 24, 2020 at 15:09. Reason: side note
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Old   August 5, 2020, 00:44
Default dx+ and dz+
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Thought I would follow-up by saying this: the CFF I posted above provides a fairly good approximation. I wrote the necessary code to calculate the viscous grid (for my particular case) and found the above CFF to be within 25% of the calculated values. The approximation provided by the CFF degrades as skewness increases.
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