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NASA Symposium on Turbulence Modeling: Roadblocks, and the Potential for Machine LearningA three-day symposium sponsored by NASA was held in July 2022 in Suffolk, Virginia on the subject of Turbulence Modeling: Roadblocks, and the Potential for Machine Learning. This meeting brought together over 80 experts from academia, government, and industry to discuss critical issues for Reynolds-averaged Navier-Stokes turbulence and transition models, as well as to evaluate the results from a collaborative testing challenge based on data-driven methods and machine learning technology. This report puts this symposium in context with an earlier similar meeting and summarizes many of the questions, discussions, and conclusions that arose from it. Next steps are suggested.
Document ID
20220015595
Acquisition Source
Langley Research Center
Document Type
Technical Memorandum (TM)
Authors
C L Rumsey
(Langley Research Center Hampton, Virginia, United States)
G N Coleman
(Langley Research Center Hampton, Virginia, United States)
Date Acquired
October 17, 2022
Publication Date
November 1, 2022
Subject Category
Aerodynamics
Report/Patent Number
NASA/TM-20220015595
Funding Number(s)
WBS: 109492.02.07.05.01
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
Single Expert
Keywords
machine learning
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