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November 11, 2020, 09:27 |
Using Machine Learning scripts in SU2
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#1 |
New Member
Shaoze
Join Date: Mar 2017
Posts: 5
Rep Power: 9 |
Hi,
I'm trying to combine machine learning with fluid mechanics. SU2 seems to be a good start as it supports python. One of my questions is how can I change the boundary conditions with my own script? For example, if I use a neural network to adjust the boundary conditions, how can I integrate a custom python script to define a dynamic boundary condition in SU2, is it feasible and how hard it is? Many thanks! Li |
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November 13, 2020, 03:03 |
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#2 |
Senior Member
Wally Maier
Join Date: Apr 2019
Posts: 123
Rep Power: 7 |
Hi Li,
Thanks for your post! Since the boundary conditions are defined in the configure script, you should be able to have a simple function that reads the configure file, replaces/writes the boundary conditions, and either runs/restarts SU2. While Im sure there are other ways to do this more efficiently, this should work and be relatively easy. |
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November 13, 2020, 06:42 |
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#3 | |
New Member
Shaoze
Join Date: Mar 2017
Posts: 5
Rep Power: 9 |
Quote:
Many thanks, Li |
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February 26, 2021, 03:12 |
Machine learning for CFD
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#4 |
New Member
CFD Lab
Join Date: Feb 2020
Location: Pakistan
Posts: 3
Rep Power: 6 |
Good day, I am looking for a comprehensive course in which I can learn, How to implement Machine Learning with Computational Fluid Dynamics. I am also looking for some research Ideas. Looking for a kind response thanks
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