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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：607/199  |  Submit date：2019/12/17
Machine learning  Artificial neural network  Subgrid-scale model  Large-eddy simulation  Isotropic turbulent flows  
A hydrodynamic stress model for simulating turbulence/particle interactions with immersed boundary methods 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 382, 页码: 240-263
Authors:  Wang SZ(王士召);  Vanella M;  Balaras E
View  |  Adobe PDF(7411Kb)  |  Favorite  |  View/Download：701/75  |  Submit date：2019/04/11
Hydrodynamic stress model  Immersed boundary method  Particle-resolved direct numerical simulations  
A structural subgrid-scale model for relative dispersion in large-eddy simulation of isotropic turbulent flows by coupling kinematic simulation with approximate deconvolution method 期刊论文
PHYSICS OF FLUIDS, 2018, 卷号: 30, 期号: 10, 页码: Ar-105110
Authors:  Zhou ZD(周志登);  Wang SZ(王士召);  Jin GD(晋国栋)
View  |  Adobe PDF(5320Kb)  |  Favorite  |  View/Download：333/127  |  Submit date：2018/12/12
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：283/97  |  Submit date：2018/10/30
mesoscopic modelling  lattice Boltzmann method (LBM)  isotropic turbulent flow  structure function  intermittency  high-order statistics  self-similarity