Enhancement of Rans Models by Means of the Tensor Basis Random Forest for Turbulent Flows in Two-Dimensional Channels with Bumps › Research Explorer

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Enhancement of Rans Models by Means of the Tensor Basis Random Forest for Turbulent Flows in Two-Dimensional Channels with Bumps

Research output: Contribution to journal › Article › peer-review

Department of Mechanics and Mathematics

DOI

https://doi.org/10.1134/S0021894423030094
Final published version

A. Bernard
S. N. Yakovenko

Original language	English
Pages (from-to)	437-441
Number of pages	5
Journal	Journal of Applied Mechanics and Technical Physics
Volume	64
Issue number	3
DOIs	https://doi.org/10.1134/S0021894423030094
Publication status	Published - Jun 2023

OECD FOS+WOS

1.03 PHYSICAL SCIENCES AND ASTRONOMY
1.01 MATHEMATICS

Research areas

Reynolds stress, machine learning, random forest, turbulence modeling

ID: 59618477