A wall model learned from the periodic hill data and the law of the wall

Toward data-driven wall-modeled large-eddy simulations of different wall-bounded turbulent flows, a wall model is learned in this work using the wall-resolved large-eddy simulation (WRLES) data of the flow over periodic hills (PH) and the law of the wall (LoW). The feedforward neural network (FNN) i...

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Bibliographic Details
Main Authors: Yang, X. (Author), Yang, X.I.A (Author), Zhang, F. (Author), Zhou, Z. (Author)
Format: Article
Language:English
Published: American Institute of Physics Inc. 2023
Subjects:
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