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| Data augmented prediction of Reynolds stresses for flows around an axisymmetric body of revolution 期刊论文
OCEAN ENGINEERING, 2024, 卷号: 296, 页码: 14
Authors: Liu Y(刘毅); Wang SZ(王士召) ; Zhang XL(张鑫磊); He GW(何国威)
  Favorite | View/Download：30/0 | Submit date：2024/05/21
Ensemble Kalman method Machine learning Turbulence modeling SUBOFF model |
| Clustering dimensionless learning for multiple-physical-regime systems 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2024, 卷号: 420, 页码: 21
Authors: Zhang, Lei; Xu ZY(许昭越); Wang SZ(王士召); He GW(何国威)
Favorite | View/Download：85/0 | Submit date：2024/03/11
Cluster Active subspace Data-driven dimensional analysis Machine learning |
| 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
Authors: Wu CT(吴楚畋); Wang SZ(王士召); Zhang XL(张鑫磊); He GW(何国威)
 Adobe PDF(3908Kb) | Favorite | View/Download：131/13 | Submit date：2023/09/26
Explainability Ensemble Kalman method Turbulence model Axial compressor rotor Neural network Machine learning |
| Artificial neural network based response surface for data-driven dimensional analysis 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 459, 页码: 19
Authors: Xu ZY(许昭越); Zhang XL(张鑫磊); Wang SZ(王士召); He GW(何国威)
Adobe PDF(2241Kb) | Favorite | View/Download：414/39 | Submit date：2022/07/18
Artificial neural network Response surface Data-driven dimensional analysis Machine learning Fluid-structure interaction |
| 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：633/211 | Submit date：2019/12/17
Machine learning Artificial neural network Subgrid-scale model Large-eddy simulation Isotropic turbulent flows |
