Multi-objective CFD-driven development of coupled turbulence closure models

Journal of Computational Physics(2022)

引用 17|浏览11
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摘要
•Introduction of two novel concepts to improve accuracy of CFD-driven turbulence models.•Simultaneous training of multiple closure models captures coupling effects.•Multi-objective optimization enables informed model selection after training.•Trained RANS closures achieve excellent predictions for flow with highly coupled momentum and thermal fields.
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关键词
Turbulence modeling,Machine learning,Evolutionary algorithm,Multi-objective optimization
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