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粗糙壁湍流的机理和大涡模拟壁模型 学位论文
博士论文,北京: 中国科学院大学, 2024
Authors:  li shilong
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粗糙壁湍流  壁模型  大涡模拟  分离流动  深度神经网络  
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)
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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)
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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)
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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)
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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)
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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)
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SMAT技术制备梯度纳米孪晶结构及其腐蚀行为研究 期刊论文
中国腐蚀与防护学报, 2022, 卷号: 42, 期号: 06, 页码: 973-978
Authors:  陈婷婷;  武晓雷;  韩培德
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超级奥氏体不锈钢  表面机械研磨  梯度结构  纳米孪晶  电化学腐蚀  
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)
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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)
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Immersed boundary method  particle-laden flow  complex geometry