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A feasibility study on applying meta-heuristic optimization and Gaussian process regression for predicting the performance of pantograph-catenary system 期刊论文
ACTA MECHANICA SINICA, 2024, 卷号: 40, 期号: 1, 页码: 12
作者:  Zhang MH(张莫晗);  Yin B(银波);  Sun ZX(孙振旭);  Bai, Ye;  Yang GW(杨国伟)
收藏  |  浏览/下载：42/0  |  提交时间：2024/02/26
Pantograph-catenary system  Gaussian process regression  Surrogate model  Physical-based model  
Study on mathematical model construction of typical gorge wind field 期刊论文
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS, 2023, 卷号: 17, 期号: 1, 页码: 2249132
作者:  Cheng JH(成炯豪);  Sun ZX(孙振旭);  Ju SJ(鞠胜军);  Yang GW(杨国伟);  Mao, Jun;  Guo DL(郭迪龙)
Adobe PDF(4993Kb)  |  收藏  |  浏览/下载：83/2  |  提交时间：2023/09/26
Wind field characteristics  mathematical model  roughness  numerical simulation  wind speed fitting  
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：261/36  |  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：288/74  |  提交时间：2021/06/15
Urban maglev train  Aerodynamic characteristics  Cross validation  Kriging model  Genetic algorithm  
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：615/326  |  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：166/0  |  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  
The influence of affiliated components and train length on the train wind 会议论文
THE THIRD INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE, Cagliari, Sardinia, Italy , 5-8 April 2016
作者:  Guo DL(郭迪龙);  Keming S;  Zhang Y(张业);  Yang GW(杨国伟);  Sun ZX(孙振旭)
收藏  |  浏览/下载：193/0  |  提交时间：2018/11/08
Pedestrian safety  Railroad cars  Railroad transportation  Railroads  Aerodynamic forces  Affiliated components  High speed train (HST)  Human bodies  Improved delayed detached eddy simulations  Induced airflow  Train model  Wake region  
长大编组高速列车横风气动特性研究 期刊论文
北京大学学报. 自然科学版, 2016, 卷号: 52, 期号: 6, 页码: 977-984
作者:  尚克明;  杜健;  孙振旭
浏览  |  Adobe PDF(1454Kb)  |  收藏  |  浏览/下载：321/55  |  提交时间：2017/02/24
Crosswind Effect  Long-grouped High Speed Train  Turbulence Model  Side Force  Overturning Moment  
Parametric design and optimization of high speed train nose 期刊论文
OPTIMIZATION AND ENGINEERING, 2016, 卷号: 17, 期号: 3, 页码: 605-630
作者:  Yao SB(姚拴宝);  Guo DL(郭迪龙);  Sun ZX(孙振旭);  Chen DW(陈大伟);  Yang GW(杨国伟);  Sun, ZX (reprint author), Chinese Acad Sci, Inst Mech, Key Lab Applicat Mech Engn Syst, Beijing 100190, Peoples R China.
浏览  |  Adobe PDF(2807Kb)  |  收藏  |  浏览/下载：378/139  |  提交时间：2016/12/08
Parametric Design  Aerodynamic Shape  Svm Model  Pso  Multi-objective Optimization  High Speed Trains  
高速列车横风气动力数值计算研究 期刊论文
科学技术与工程, 2012, 卷号: 12, 期号: 32, 页码: 8486-8497
作者:  孙振旭;  姚拴宝;  郭迪龙;  杨国伟
Adobe PDF(6797Kb)  |  收藏  |  浏览/下载：661/140  |  提交时间：2013/03/01
横风效应  湍流模式  列车空气动力学  侧向力  摩擦阻力  压差阻力  Cross-wind Stability  Turbulence Model  Train Aerodynamics  Side Force  Viscous Force  Inviscid Force