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Physical interpretation of neural network-based nonlinear eddy viscosity models 期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 卷号: 142, 页码: 13
作者:  Zhang XL(张鑫磊);  Xiao, Heng;  Jee, Solkeun;  He GW(何国威)
Adobe PDF(5699Kb)  |  收藏  |  浏览/下载:45/0  |  提交时间:2023/11/28
Machine learning  Turbulence modeling  Ensemble Kalman inversion  Physical interpretability  
Multiscale analysis of a very long wind turbine wake in an atmospheric boundary layer 期刊论文
PHYSICAL REVIEW FLUIDS, 2023, 卷号: 8, 期号: 10, 页码: 27
作者:  Zhang FS(张风顺);  Yang XL(杨晓雷);  He GW(何国威)
Adobe PDF(11191Kb)  |  收藏  |  浏览/下载:88/2  |  提交时间:2023/12/11
Explainability analysis of neural network-based turbulence modeling for transonic axial compressor rotor flows 期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 卷号: 141, 页码: 108542
作者:  Wu CT(吴楚畋);  Wang SZ(王士召);  Zhang XL(张鑫磊);  He GW(何国威)
Adobe PDF(3908Kb)  |  收藏  |  浏览/下载:83/0  |  提交时间:2023/09/26
Explainability  Ensemble Kalman method  Turbulence model  Axial compressor rotor  Neural network  Machine learning  
Combining direct and indirect sparse data for learning generalizable turbulence models 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 489, 页码: 112272
作者:  Zhang XL(张鑫磊);  Xiao, Heng;  Luo, Xiaodong;  He GW(何国威)
Adobe PDF(7111Kb)  |  收藏  |  浏览/下载:37/0  |  提交时间:2023/09/05
Ensemble Kalman method  Turbulence modeling  Direct data  Indirect data  
Learning Neural-Network-Based Turbulence Models for External Transonic Flows Using Ensemble Kalman Method 期刊论文
AIAA JOURNAL, 2023
作者:  Liu Y(刘毅);  Zhang XL(张鑫磊);  He GW(何国威)
Adobe PDF(8757Kb)  |  收藏  |  浏览/下载:53/0  |  提交时间:2023/06/15
An interface-resolved phase-change model based on velocity decomposition 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 475, 页码: 28
作者:  Lu M(卢敏);  Yang ZX(杨子轩);  He GW(何国威)
Adobe PDF(3953Kb)  |  收藏  |  浏览/下载:148/0  |  提交时间:2023/02/20
Phase-change model  Velocity decomposition  Multi-phase flow  
Quantum Implementation of Numerical Methods for Convection-Diffusion Equations: Toward Computational Fluid Dynamics 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2023, 卷号: 33, 期号: 2, 页码: 425-451
作者:  Liu BF(刘宝峰);  Zhu LX(朱力行);  Yang ZX(杨子轩);  He GW(何国威)
Adobe PDF(536Kb)  |  收藏  |  浏览/下载:50/0  |  提交时间:2023/06/15
Quantum computing  partial differential equations  computational fluid dynamics  finite difference  finite element  
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
作者:  Zhou ZD(周志登);  He GW(何国威);  Yang XL(杨晓雷)
Adobe PDF(3290Kb)  |  收藏  |  浏览/下载:273/108  |  提交时间:2021/08/03
Using machine learning to detect the turbulent region in flow past a circular cylinder 期刊论文
JOURNAL OF FLUID MECHANICS, 2020, 卷号: 905, 页码: A10
作者:  Li BL(李秉霖);  Yang ZX(杨子轩);  Zhang X(张星);  He GW(何国威);  Deng BQ;  Shen L
Adobe PDF(1681Kb)  |  收藏  |  浏览/下载:538/171  |  提交时间:2020/12/28
wakes  LAGRANGIAN COHERENT STRUCTURES  turbulent transition  DATA-DRIVEN  INTERFACE  DYNAMICS  CLOSURE  
Grid-Dependence Study for Simulating Propeller Crashback Using Large-Eddy Simulation with Immersed Boundary Method 期刊论文
OCEAN ENGINEERING, 2020, 卷号: 218, 期号: 15, 页码: 108211
作者:  Liao F(廖飞);  Yang XL(杨晓雷);  Wang SZ(王士召);  He GW(何国威)
Adobe PDF(7812Kb)  |  收藏  |  浏览/下载:230/65  |  提交时间:2021/01/29
Grid-dependence  Propeller  Crashback  Large-eddy simulation  Immersed boundary method