A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty

DOI10.1016/j.jcp.2024.112982MaRDI QIDQ6553801

Atul Agrawal, Phaedon-Stelios Koutsourelakis

Publication date: 11 June 2024

Published in: Journal of Computational Physics (Search for Journal in Brave)

zbMATH Keywords

uncertainty quantificationReynolds-averaged Navier-Stokesdeep neural networksdata-driven turbulence modelingdifferentiable solver

Mathematics Subject Classification ID

Turbulence (76Fxx) Basic methods in fluid mechanics (76Mxx) Fluid mechanics (76-XX)

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