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何国威 [3]
王士召 [3]
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Indexed By:SCI
Source Publication:COMPUTERS & FLUIDS
Creator:何国威
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Language:英语
Document Type:期刊论文
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Assimilation of disparate data for enhanced reconstruction of turbulent mean flows
期刊论文
COMPUTERS & FLUIDS, 2021, 卷号: 224, 页码: 14
Authors:
Zhang, Xin-Lei
;
Xiao, Heng
;
He GW(何国威)
;
Wang SZ(王士召)
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Submit date:2021/08/03
Turbulent flow reconstruction
Disparate data sources
Ensemble Kalman method
Data assimilation
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
Parallel computing strategy for a flow solver based on immersed boundary method and discrete stream-function formulation
期刊论文
COMPUTERS & FLUIDS, 2013, 卷号: 88, 页码: 210-224
Authors:
Wang SZ(王士召)
;
He GW(何国威)
;
Zhang X(张星)
;
Zhang, X (reprint author), Chinese Acad Sci, Inst Mech, LNM, Beijing 100190, Peoples R China.
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View/Download:1099/439
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Submit date:2013/10/14
Parallelization
Domain Decomposition
Massage Passing Interface
Immersed Boundary Method
Discrete Stream-function Formulation