Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks

Nicholas Geneva, Nicholas Zabaras

Data-driven methods for improving turbulence modeling in Reynolds-Averaged Navier-Stokes (RANS) simulations have gained significant interest in the computational fluid dynamics com…