GLL - GLL interpolation #2255
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I have about a 1000 field files of turbulent channel flow data with 18,18,18 elements in x,y and z directions. Is it possible to interpolate them into 9,18,9 (x,y,z) within neko (can I use map_to_equidistant with some modifications)? Thanks in advance. |
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Replies: 1 comment 7 replies
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In principle yes, but I would probably use the python package pysemtools for this sort of task. But with pure neko, for some field i out of your 1000 you can use it as an initial condition in a case setup with you coarser mesh, and mesh-to-mesh interpolation can be performed. See the docs for initial conditions. Then, at the beginning of the simulation a field file with the initial conditions will be saved, which will contain the interpolated result. If you do that 1000 times, once for each of your field, you are done :). I guess it is fairly easy to automate with python thanks to the input to neko being json. |
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If you are using pySEMtools, I suggest opening an issue in that repository and providing the code you use. Hopefully @adperezm can help! |
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But this sure looks like some kind of ordering issue |
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and it is certainly possible to achieve with PySEMTools, unless perhaps the mesh is very very distorted. |
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Ok. Thanks. |
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Hi, indeed. Post there with how you set up the interpolation, etc. But please also let us know how you are visualizing here. You mention that also when you set it as initial condition this happens. I wonder how you create the new mesh, and do you have an .nmsh for the new one? Write in the other repo :) |
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In principle yes, but I would probably use the python package pysemtools for this sort of task. But with pure neko, for some field i out of your 1000 you can use it as an initial condition in a case setup with you coarser mesh, and mesh-to-mesh interpolation can be performed. See the docs for initial conditions. Then, at the beginning of the simulation a field file with the initial conditions will be saved, which will contain the interpolated result. If you do that 1000 times, once for each of your field, you are done :). I guess it is fairly easy to automate with python thanks to the input to neko being json.