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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
作者:  Yao W(姚卫)
浏览  |  Adobe PDF(9586Kb)  |  收藏  |  浏览/下载：652/294  |  提交时间：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
作者:  Li ST Li Y;  Yang CX;  Zheng XB;  Wang Q;  Wang Y;  Li DS;  Hu WR(胡文瑞)
浏览  |  Adobe PDF(4058Kb)  |  收藏  |  浏览/下载：382/77  |  提交时间：2019/12/17
Airfoil  Dynamic load  Roughness  Vertical-axis wind turbines (VAWTs)  Wind tunnel experiment  
Effects of incident wind/wave directions on dynamic response of a SPAR-type floating offshore wind turbine system 期刊论文
ACTA MECHANICA SINICA, 2019, 卷号: 35, 期号: 5, 页码: 954-963
作者:  Lv GQ(吕国钦);  Zhang HQ(张会琴);  Li JC(李家春)
浏览  |  Adobe PDF(770Kb)  |  收藏  |  浏览/下载：271/57  |  提交时间：2020/03/11
Offshore floating wind turbine  Dynamic responses  SPAR-type wind turbine  Distributions of wind and wave directions  
Numerical simulation of bubble detachment at submerged orifice and analysis of interface stability 期刊论文
JOURNAL OF HYDRODYNAMICS, 2019, 卷号: 31, 期号: 2, 页码: 293-302
作者:  Yu XX(于娴娴);  Wang YW(王一伟);  Huang CG(黄晨光);  Du TZ(杜特专)
浏览  |  Adobe PDF(3556Kb)  |  收藏  |  浏览/下载：306/80  |  提交时间：2019/05/29
Bubble interfacial dynamics  large eddy simulation  instability criterion  Rayleigh-Plesset equation  
Constrained Brownian Motion of a Single Ellipsoid in a Narrow Channel 期刊论文
CHINESE PHYSICS LETTERS, 2019, 卷号: 36, 期号: 3, 页码: 4
作者:  Li HH(李瀚海);  Zheng ZY(郑中玉);  Wang YR(王育人)
Adobe PDF(8315Kb)  |  收藏  |  浏览/下载：247/80  |  提交时间：2019/04/11
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
作者:  Yuan CK(苑朝凯);  Zhou K(周凯);  Liu YF(刘云峰);  Hu ZM(胡宗民);  Jiang ZL(姜宗林)
浏览  |  Adobe PDF(1468Kb)  |  收藏  |  浏览/下载：344/101  |  提交时间：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
作者:  Zhang Z(张珍);  Song XD;  Ye SR;  Wang YW(王一伟);  Huang CG(黄晨光);  An YR;  Chen YS
浏览  |  Adobe PDF(1492Kb)  |  收藏  |  浏览/下载：366/155  |  提交时间：2019/04/11
Deep neural network  channel flow  turbulence model  Reynolds stress