Evaluation of physics constrained data-driven methods for turbulence model uncertainty quantification

DOI10.1016/J.COMPFLUID.2023.105837zbMath1521.76750arXiv2210.00002OpenAlexW4321793698MaRDI QIDQ6158540

Unnamed Author, Marcel Matha, Karsten Kucharczyk

Publication date: 20 June 2023

Published in: Computers and Fluids (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2210.00002

zbMATH Keywords

machine learningturbulence modelsuncertainty quantificationRANSdata-drivenrandom forest regression

Mathematics Subject Classification ID

Basic methods in fluid mechanics (76M99)

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