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Kerosene-fueled supersonic combustion modeling based on skeletal mechanisms 期刊论文
ACTA MECHANICA SINICA, 2019, 卷号: 35, 期号: 6, 页码: 1155-1177
Authors:  Yao W(姚卫)
View  |  Adobe PDF(9586Kb)  |  Favorite  |  View/Download：670/299  |  Submit date：2019/12/17
Kerosene  Supersonic combustion  Large eddy simulation  Skeletal mechanism  Scramjet  
Experimental and numerical investigation of the influence of roughness and turbulence on LUT airfoil performance 期刊论文
ACTA MECHANICA SINICA, 2019, 卷号: 35, 期号: 6, 页码: 1178-1190
Authors:  Li ST Li Y;  Yang CX;  Zheng XB;  Wang Q;  Wang Y;  Li DS;  Hu WR(胡文瑞)
View  |  Adobe PDF(4058Kb)  |  Favorite  |  View/Download：415/83  |  Submit date：2019/12/17
Airfoil  Dynamic load  Roughness  Vertical-axis wind turbines (VAWTs)  Wind tunnel experiment  
A nonlinear model for aerodynamic configuration of wake behind horizontal-axis wind turbine 期刊论文
APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 2019, 卷号: 40, 期号: 9, 页码: 1313-1326
Authors:  Li DS;  Guo T;  Li RN;  Yang CX;  Cheng ZX;  Li Y;  Hu WR(胡文瑞)
View  |  Adobe PDF(1504Kb)  |  Favorite  |  View/Download：188/74  |  Submit date：2019/10/21
nonlinear wake aerodynamic model  vortex-induced velocity  integral equation of vortex-induced velocity  horizontal-axis wind turbine  O355  
Wall-modeling for large-eddy simulation of flows around an axisymmetric body using the diffuse-interface immersed boundary method 期刊论文
APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 2019, 卷号: 40, 期号: 3, 页码: 305-320
Authors:  Shi BJ(时北极);  Yang XL(杨晓雷);  Jin GD(晋国栋);  He GW(何国威);  Wang SZ(王士召)
View  |  Adobe PDF(860Kb)  |  Favorite  |  View/Download：387/94  |  Submit date：2019/04/11
wall model  large-eddy simulation (LES)  immersed boundary (IB) method  diffuse-interface  
Spectral measurements of hypervelocity flow in an expansion tunnel 期刊论文
ACTA MECHANICA SINICA, 2019, 卷号: 35, 期号: 1, 页码: 24-31
Authors:  Yuan CK(苑朝凯);  Zhou K(周凯);  Liu YF(刘云峰);  Hu ZM(胡宗民);  Jiang ZL(姜宗林)
Adobe PDF(1468Kb)  |  Favorite  |  View/Download：358/106  |  Submit date：2019/04/11
Spectral measurement  Hypervelocity flow  Radiation  Expansion tunnel  
Application of deep learning method to Reynolds stress models of channel flow based on reduced-order modeling of DNS data 期刊论文
JOURNAL OF HYDRODYNAMICS, 2019, 卷号: 31, 期号: 1, 页码: 58-65
Authors:  Zhang Z(张珍);  Song XD;  Ye SR;  Wang YW(王一伟);  Huang CG(黄晨光);  An YR;  Chen YS
Adobe PDF(1492Kb)  |  Favorite  |  View/Download：388/161  |  Submit date：2019/04/11
Deep neural network  channel flow  turbulence model  Reynolds stress