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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)
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Machine learning  Artificial neural network  Subgrid-scale model  Large-eddy simulation  Isotropic turbulent flows  
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)
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Prediction of Lagrangian dispersion of fluid particles in isotropic turbulent flows using large-eddy simulation method 期刊论文
ACTA MECHANICA, 2017, 卷号: 228, 期号: 9, 页码: 3203-3222
Authors:  Zhou ZD(周志登);  Chen JC(陈进财);  Jin GD(晋国栋);  Jin, GD (reprint author), Chinese Acad Sci, Inst Mech, LNM, Beijing 100190, Peoples R China.
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A nonlinear model for the subgrid timescale experienced by heavy particles in large eddy simulation of isotropic turbulence with a stochastic differential equation 期刊论文
NEW JOURNAL OF PHYSICS, 2013, 卷号: 15, 期号: 3, 页码: 035011/1-035011/27
Authors:  Jin GD(晋国栋);  He GW(何国威);  He GW (reprint author), Chinese Acad Sci, Inst Mech, LNM, Beijing 100190, Peoples R China
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Particle-laden Turbulence  Large-eddy Simulation  Particle Sgs Model  Langevin Equation  Stochastic Differential Equation  Approximate Deconvolution Method  Relative Dispersions