Turbulence Modeling for Physics-Informed Neural Networks: Comparison of Different RANS Models for the Backward-Facing Step Flow
Physics-informed neural networks (PINN) can be used to predict flow fields with a minimum of simulated or measured training data. As most technical flows are turbulent, PINNs based on the Reynolds-averaged Navier–Stokes (RANS) equations incorporating a turbulence model are needed. Several studies de...
| Váldodahkkit: | , , , , , |
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| Materiálatiipa: | Artihkal |
| Giella: | English |
| Almmustuhtton: |
MDPI AG
2023-01-01
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| Ráidu: | Fluids |
| Fáttát: | |
| Liŋkkat: | https://www.mdpi.com/2311-5521/8/2/43 |