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周志登 [7]
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王士召 [3]
何国威 [2]
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Creator:zhouzhideng分周志登
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Deep learning method for the super-resolution reconstruction of small-scale motions in large-eddy simulation
期刊论文
AIP ADVANCES, 2022, 卷号: 12, 期号: 12, 页码: 9
Authors:
Zhao QY(赵庆义)
;
Jin GD(晋国栋)
;
Zhou ZD(周志登)
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Submit date:2023/02/03
Wall model based on neural networks for LES of turbulent flows over periodic hills
期刊论文
PHYSICAL REVIEW FLUIDS, 2021, 卷号: 6, 期号: 5, 页码: 30
Authors:
Zhou ZD(周志登)
;
He GW(何国威)
;
Yang XL(杨晓雷)
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Submit date:2021/08/03
A structural subgrid-scale model for the collision-related statistics of inertial particles in large-eddy simulations of isotropic turbulent flows
期刊论文
PHYSICS OF FLUIDS, 2020, 卷号: 32, 期号: 9, 页码: 16
Authors:
Zhou ZD(周志登)
;
Wang SZ(王士召)
;
Yang XL(杨晓雷)
;
Jin GD(晋国栋)
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Submit date:2020/11/30
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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Submit date:2019/12/17
Machine learning
Artificial neural network
Subgrid-scale model
Large-eddy simulation
Isotropic turbulent flows
携带颗粒各向同性湍流的大涡模拟与亚格子模型
学位论文
博士论文,北京: 中国科学院大学, 2019
Authors:
周志登
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Submit date:2019/11/27
颗粒拉格朗日弥散
大涡模拟
湍流亚格子模型
颗粒亚格子模型
人工神经网络
有限颗粒雷诺数
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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Submit date:2018/12/12
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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Submit date:2017/11/29