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Subgrid-scale model for large-eddy simulation of isotropic turbulent flows using an artificial neural network 期刊论文
COMPUTERS & FLUIDS, 2019, 卷号: 195, 页码: UNSP 104319
Authors:  Zhou ZD(周志登);  He GW(何国威);  Wang SZ(王士召);  Jin GD(晋国栋)
View  |  Adobe PDF(4058Kb)  |  Favorite  |  View/Download：599/196  |  Submit date：2019/12/17
Machine learning  Artificial neural network  Subgrid-scale model  Large-eddy simulation  Isotropic turbulent flows  
Wall-modeling for large-eddy simulation of flows around an axisymmetric body using the diffuse-interface immersed boundary method 期刊论文
APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 2019, 卷号: 40, 期号: 3, 页码: 305-320
Authors:  Shi BJ(时北极);  Yang XL(杨晓雷);  Jin GD(晋国栋);  He GW(何国威);  Wang SZ(王士召)
View  |  Adobe PDF(860Kb)  |  Favorite  |  View/Download：373/91  |  Submit date：2019/04/11
wall model  large-eddy simulation (LES)  immersed boundary (IB) method  diffuse-interface  
Lattice Boltzmann simulations of high-order statistics in isotropic turbulent flows 期刊论文
APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 2018, 卷号: 39, 期号: 1, 页码: 21-30
Authors:  Jin GD(晋国栋);  Wang SZ(王士召);  Wang Y;  He GW(何国威)
View  |  Adobe PDF(209Kb)  |  Favorite  |  View/Download：273/94  |  Submit date：2018/10/30
mesoscopic modelling  lattice Boltzmann method (LBM)  isotropic turbulent flow  structure function  intermittency  high-order statistics  self-similarity