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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
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
Authors:  Zhang XL(张鑫磊);  Xiao, Heng;  Luo, Xiaodong;  He GW(何国威)
Adobe PDF(7111Kb)  |  Favorite  |  View/Download：61/7  |  Submit date：2023/09/05
Ensemble Kalman method  Turbulence modeling  Direct data  Indirect data  
A wall model learned from the periodic hill data and the law of the wall 期刊论文
PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 5, 页码: 55108
Authors:  Zhou ZD(周志登);  Yang, Xiang IA;  Zhang FS(张凤顺);  Yang XL(杨晓雷)
Adobe PDF(2116Kb)  |  Favorite  |  View/Download：33/5  |  Submit date：2023/07/17
Effects of Wall Topology on Statistics of Cube-Roughened Wall Turbulence 期刊论文
BOUNDARY-LAYER METEOROLOGY, 2023, 卷号: 186, 期号: 2, 页码: 305-336
Authors:  Li SL(李世隆);  Zhou ZD(周志登);  Chen DY(陈丹阳);  Yuan,Xianxu;  Guo,Qilong;  Yang XL(杨晓雷)
Adobe PDF(11087Kb)  |  Favorite  |  View/Download：170/27  |  Submit date：2023/02/03
Roughness-resolved simulation  Direct numerical simulation  Cube-roughened surfaces  Roughness length  
A Review of Research on Cavity Growth in the Context of Underground Coal Gasification 期刊论文
ENERGIES, 2022, 卷号: 15, 期号: 23, 页码: 21
Authors:  Fang, Huijun;  Liu YW(刘曰武);  Ge, Tengze;  Zheng TY(郑太毅);  Yu, Yueyu;  Liu, Danlu;  Ding JG(丁玖阁);  Li LL(李龙龙)
Adobe PDF(8516Kb)  |  Favorite  |  View/Download：1564/1370  |  Submit date：2023/01/12
underground coal gasification  cavity growth  field test  laboratory experiment  numerical simulation  
A dynamic version of the improved delayed detached-eddy simulation based on the differential Reynolds-stress model 期刊论文
PHYSICS OF FLUIDS, 2022, 卷号: 34, 期号: 11, 页码: 17
Authors:  Li, Quanzheng;  Chen, Xin;  Wang, Gang;  Liu Y(刘毅)
Adobe PDF(7549Kb)  |  Favorite  |  View/Download：172/41  |  Submit date：2022/12/26
Ensemble Kalman method for learning turbulence models from indirect observation data 期刊论文
JOURNAL OF FLUID MECHANICS, 2022, 卷号: 949
Authors:  Zhang XL(张鑫磊);  Xiao, Heng;  Luo, Xiaodong;  He GW(何国威)
Adobe PDF(1302Kb)  |  Favorite  |  View/Download：194/49  |  Submit date：2022/10/23
turbulence modelling  machine learning  
Hybrid Diffuse and Sharp Interface Immersed Boundary Methods for Particulate Flows in the Presence of Complex Boundaries 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2022, 卷号: 31, 期号: 4, 页码: 1242-1271
Authors:  Qin JH(秦建华);  Yang XL(杨晓雷);  Li ZB(李曌斌)
Adobe PDF(9490Kb)  |  Favorite  |  View/Download：223/72  |  Submit date：2022/05/17
Immersed boundary method  particle-laden flow  complex geometry  
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：290/72  |  Submit date：2022/01/24
IDDES method based on differential Reynolds-stress model and its application in bluff body turbulent flows 期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2021, 卷号: 119, 页码: 13
Authors:  Wang, Gang;  Li, Quanzheng;  Liu Y(刘毅)
Adobe PDF(4661Kb)  |  Favorite  |  View/Download：229/52  |  Submit date：2022/06/11
Detached-eddy simulation  Reynolds-stress model  Massively separated flows  Tandem cylinders  Launch vehicle  Transonic buffet