79 citations · 150 across the 12 of their papers we have counts for
4 papers · 1 filter
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…
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…
Deep Learning for Multi-Fidelity Aerodynamic Distribution Modeling from Experimental and Simulation Data
Kai Li, Jiaqing Kou, Weiwei Zhang
The wind-tunnel experiment plays a critical role in the design and development phases of modern aircraft, which is limited by prohibitive cost. In contrast, numerical simulation, a…
Experimental study on Vortex-Induced Vibration of Cylinder at Subcritical Reynolds Number
Zhen Lyu, Weiwei Zhang, Jiaqing Kou
Numerical simulation results in recent years show that vortex-induced vibration (VIV) can occur at a subcritical Reynolds number. And the VIV has been observed numerically at Reyno…