Turbulence modeling for compressible flows using discrepancy tensor-basis neural networks and extrapolation detection
Author:
Affiliation:
1. Sandia National Laboratories California
2. Sandia National Laboratories
Publisher
American Institute of Aeronautics and Astronautics
Link
https://arc.aiaa.org/doi/pdf/10.2514/6.2023-2126
Reference48 articles.
1. Summary of the 2004 Computational Fluid Dynamics Validation Workshop on Synthetic Jets
2. Flow physics and RANS modelling of oblique shock/turbulent boundary layer interaction
3. Compressibility Considerations for k-w Turbulence Models in Hypersonic Boundary-Layer Applications
4. Bayesian uncertainty quantification applied to RANS turbulence models
5. Bayesian uncertainty analysis with applications to turbulence modeling
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