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Aerodynamic-Aeroacoustic Optimization of a Baseline Wing and Flap Configuration 期刊论文
APPLIED SCIENCES-BASEL, 2022, 卷号: 12, 期号: 3, 页码: 19
作者:  Ju SJ(鞠胜军);  Sun ZX(孙振旭);  Guo DL(郭迪龙);  Yang GW(杨国伟);  Wang YT(王业腾);  Yan C(闫畅)
Adobe PDF(12043Kb)  |  收藏  |  浏览/下载：256/35  |  提交时间：2022/03/28
high-lift devices  computational fluid dynamics  computational aeroacoustics  Kriging surrogate model  optimization design  
Aerodynamic shape optimization of an urban maglev train 期刊论文
ACTA MECHANICA SINICA, 2021, 页码: 16
作者:  Sun ZX(孙振旭);  Wang MY(王梦莹);  Wei LY(魏涟漪);  Kong FB;  Yang GW(杨国伟)
Adobe PDF(2376Kb)  |  收藏  |  浏览/下载：274/69  |  提交时间：2021/06/15
Urban maglev train  Aerodynamic characteristics  Cross validation  Kriging model  Genetic algorithm  
A robust aerodynamic optimization design for airfoil based on interval uncertainty analysis method 会议论文
ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, AJKFluids 2019, San Francisco, CA, United states, July 28, 2019 - August 1, 2019
作者:  Song X(宋鑫);  Zheng GN(郑冠男);  Yang GW(杨国伟)
收藏  |  浏览/下载：103/0  |  提交时间：2020/11/20
Adaptive MOPSO  DFFD  Geometric uncertainty  Interval analysis  Kriging model  Robust design optimization  
Surrogate Based Optimization of Aerodynamic Noise for Streamlined Shape of High Speed Trains 期刊论文
APPLIED SCIENCES-BASEL, 2017, 卷号: 7, 期号: 2
作者:  Sun ZX(孙振旭);  Zhang Y;  Yang GW(杨国伟);  Sun, ZX (reprint author), Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China.
浏览  |  Adobe PDF(6165Kb)  |  收藏  |  浏览/下载：611/325  |  提交时间：2017/07/24
Aerodynamic Noise  Nlas  Kriging Model  Cross Validation  Equivalent Continuous Spl  
A study of the optimization design method for a high speed train 会议论文
THE THIRD INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE, Cagliari, Sardinia, Italy , 5-8 April 2016
作者:  Zhao GL;  Sun ZX(孙振旭);  Yao SB(姚拴宝);  Guo DL(郭迪龙);  Yang GW(杨国伟)
收藏  |  浏览/下载：161/0  |  提交时间：2018/11/08
Aerodynamic drag  Genetic algorithms  Lift  Railroad cars  Railroads  Aerodynamic lift  Ga  grnn  High speed train (HST)  Kriging model  Optimization design  Optimization method  Surrogate model  
Drag-reduction design on high-speed trains with intelligent optimization algorithm 会议论文
THE SECOND INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE, Ajaccio, Corsica, France, 8-11 April 2014
作者:  Yang GW(杨国伟);  Yao SB(姚拴宝);  Guo DL(郭迪龙)
收藏  |  浏览/下载：147/0  |  提交时间：2018/11/08
Aerodynamic drag  Aerodynamics  Ant colony optimization  Computational fluid dynamics  Deformation  Design  Drag reduction  Interpolation  Iterative methods  Radial basis function networks  Railroad cars  Railroad transportation  Railroads  Aerodynamic optimization  Grid deformation  High speed train (HST)  Intelligent optimization algorithm  Kriging surrogate model