27 citations · 55 across the 11 of their papers we have counts for
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physics.flu-dyn2021
High Reynolds number airfoil turbulence modeling method based on machine learning technique
Xuxiang Sun, Wenbo Cao, Yilang Liu +2
In this paper, a turbulence model based on deep neural network is developed for turbulent flow around airfoil at high Reynolds numbers. According to the data got from the Spalart-A…
physics.flu-dyn2021★ 27 cited
Analysis on numerical stability and convergence of RANS turbulence models from the perspective of coupling modes
Yilang Liu, Weiwei Zhang, Zhenhua Xia
Reynolds-averaged Navier-Stokes simulations are still the main method to study complex flows in engineering. However, traditional turbulence models cannot accurately predict flow f…
cs.LG2021★ 3 cited
An Energy-Saving Snake Locomotion Gait Policy Obtained Using Deep Reinforcement Learning
Yilang Liu, Amir Barati Farimani
Snake robots, comprised of sequentially connected joint actuators, have recently gained increasing attention in the industrial field, like life detection in narrow space. Such robo…