18 citations · 30 across the 5 of their papers we have counts for
5 papers
A features-embedded-learning immersed boundary model for large-eddy simulation of turbulent flows with complex boundaries
Zhideng Zhou, Fengshun Zhang, Xiaolei Yang
The hybrid wall-modeled large-eddy simulation (WMLES) and immersed boundary (IB) method offers significant flexibility for simulating high Reynolds number flows involving complex b…
A wall model for separated flows: embedded learning to improve a posteriori performance
Zhideng Zhou, Xin-lei Zhang, Guo-wei He +1
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…
Time integration schemes based on neural networks for solving partial differential equations on coarse grids
Xinxin Yan, Zhideng Zhou, Xiaohan Cheng +1
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 in…
A single formula for the law of the wall and its application to wall-modelled large-eddy simulation
Fengshun Zhang, Zhideng Zhou, Xiaolei Yang +1
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 dif…
A wall model based on neural networks for LES of turbulent flows over periodic hills
Zhideng Zhou, Guowei He, Xiaolei Yang
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 develo…