Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Zhou, Zhideng"'
Publikováno v:
J. Fluid Mech. 1002 (2025) A3
The development of a wall model using machine learning methods for the large-eddy simulation (LES) of separated flows is still an unsolved problem. Our approach is to leverage the significance of separated flow data, for which existing theories are n
Externí odkaz:
http://arxiv.org/abs/2409.00984
The accuracy of solving partial differential equations (PDEs) on coarse grids is greatly affected by the choice of discretization schemes. In this work, we propose to learn time integration schemes based on neural networks which satisfy three distinc
Externí odkaz:
http://arxiv.org/abs/2310.10308
Publikováno v:
In Journal of Computational Physics 1 October 2024 514
In this work, we propose a single formula for the law of the wall, which is dubbed as the logarithmic-exponential (LOG-EXP) formula, for predicting the mean velocity profile in different regions near the wall. And then a feedforward neural network (F
Externí odkaz:
http://arxiv.org/abs/2104.09054
In this work, a data-driven wall model for turbulent flows over periodic hills is developed using the feedforward neural network (FNN) and wall-resolved LES (WRLES) data. To develop a wall model applicable to different flow regimes, the flow data in
Externí odkaz:
http://arxiv.org/abs/2011.04157
Akademický článek
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Publikováno v:
In Ocean Engineering 15 December 2022 266 Part 5
Publikováno v:
In European Journal of Mechanics / B Fluids July-August 2022 94:350-365
Publikováno v:
In Computers and Fluids 15 May 2022 239
Publikováno v:
In Theoretical and Applied Mechanics Letters January 2022 12(1)