Bayesian neural networks correct RANS turbulence models via kinetic energy source terms and anisotropy tensors, improving velocity predictions on training flows but showing reduced accuracy and under-coverage on unseen separated flows.
Menter, Zonal two equation k-ωturbulence models for aerodynamic flows, 23rd fluid dynamics, plasmadynam- ics, and lasers conference (1993) 2906
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Bayesian neural network correction of RANS turbulence models with uncertainty quantification in separated flows
Bayesian neural networks correct RANS turbulence models via kinetic energy source terms and anisotropy tensors, improving velocity predictions on training flows but showing reduced accuracy and under-coverage on unseen separated flows.