|
Selected(0)Clear
Items/Page: Sort: |
| 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：21/0 | Submit date：2024/05/21
Ensemble Kalman method Machine learning Turbulence modeling SUBOFF model |
| Ensemble variational method with adaptive covariance inflation for learning neural network-based turbulence models 期刊论文
PHYSICS OF FLUIDS, 2024, 卷号: 36, 期号: 3, 页码: 21
Authors: Luo QY(罗清勇); Zhang XL(张鑫磊); He GW(何国威)
Favorite | View/Download：22/0 | Submit date：2024/05/14 |
| 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
Authors: Zhang XL(张鑫磊); Xiao, Heng; Jee, Solkeun; He GW(何国威)
Adobe PDF(5699Kb) | Favorite | View/Download：75/7 | Submit date：2023/11/28
Machine learning Turbulence modeling Ensemble Kalman inversion Physical interpretability |
| 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：123/11 | Submit date：2023/09/26
Explainability Ensemble Kalman method Turbulence model Axial compressor rotor Neural network Machine learning |
| Assessment of Regularized Ensemble Kalman Method for Inversion of Turbulence Quantity Fields 期刊论文
AIAA JOURNAL, 2022, 卷号: 60, 期号: 1, 页码: 3-13
Authors: Zhang XL(张鑫磊); Xiao, Heng; He GW(何国威)
Adobe PDF(1913Kb) | Favorite | View/Download：287/71 | Submit date：2022/01/24 |
| 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)
Adobe PDF(3374Kb) | Favorite | View/Download：299/58 | Submit date：2021/08/03
Turbulent flow reconstruction Disparate data sources Ensemble Kalman method Data assimilation |
| 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)
Adobe PDF(3290Kb) | Favorite | View/Download：304/117 | Submit date：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
Authors: 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) | Favorite | View/Download：577/184 | Submit date：2020/12/28
wakes LAGRANGIAN COHERENT STRUCTURES turbulent transition DATA-DRIVEN INTERFACE DYNAMICS CLOSURE |
| Globally optimized cross-correlation for particle image velocimetry 期刊论文
EXPERIMENTS IN FLUIDS, 2020, 卷号: 61, 期号: 11, 页码: 228
Authors: Wang HP(王洪平); He GW(何国威); Wang SZ(王士召)
Adobe PDF(10021Kb) | Favorite | View/Download：206/64 | Submit date：2020/12/28
TRACKING VELOCIMETRY MOTION ESTIMATION PIV FLOW RESOLUTION ALGORITHM |
| 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)
Adobe PDF(4058Kb) | Favorite | View/Download：616/204 | Submit date：2019/12/17
Machine learning Artificial neural network Subgrid-scale model Large-eddy simulation Isotropic turbulent flows |
