12 citations · 13 across the 4 of their papers we have counts for
4 papers
Towards a Generalized SA Model: Symbolic Regression-Based Correction for Separated Flows
Xuxiang Sun, Xianglin Shan, Yilang Liu +1
This study focuses on the numerical simulation of high Reynolds number separated flows and proposes a data-driven approach to improve the predictive capability of the SA turbulence…
Discovery of knowledge of wall-bounded turbulence via symbolic regression
ZhongXin Yang, XiangLin Shan, WeiWei Zhang
With the development of high performance computer and experimental technology, the study of turbulence has accumulated a large number of high fidelity data. However, few general tu…
New Interpretation for error propagation of data-driven Reynolds stress closures via global stability analysis
Xianglin Shan, Wenbo Cao, Weiwei Zhang
In light of the challenges surrounding convergence and error propagation encountered in Reynolds-averaged Navier-Stokes (RANS) equations with data-driven Reynolds stress closures,…
A novel convergence enhancement method based on Online Dimension Reduction Optimization
Wenbo Cao, Yilang Liu, Xianglin Shan +2
Iterative steady-state solvers are widely used in computational fluid dynamics. Unfortunately, it is difficult to obtain steady-state solution for unstable problem caused by physic…