Progressive augmentation of Reynolds stress tensor models for secondary flow prediction by computational fluid dynamics driven surrogate optimisation
Author:
Publisher
Elsevier BV
Subject
Fluid Flow and Transfer Processes,Mechanical Engineering,Condensed Matter Physics
Reference70 articles.
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Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Enhancing generalizability of machine-learning turbulence models;AIAA SCITECH 2024 Forum;2024-01-04
2. Progressive augmentation of turbulence models for flow separation by multi-case computational fluid dynamics driven surrogate optimization;Physics of Fluids;2023-12-01
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