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Contact Force Surrogate Model and Its Application in Pantograph-Catenary Parameter Optimization 期刊论文
APPLIED SCIENCES-BASEL, 2024, 卷号: 14, 期号: 1, 页码: 13
Authors:  Zhou R(周睿);  Xu XH(许向红);  Rahnejat, Homer
Favorite  |  View/Download：73/0  |  Submit date：2024/02/19
current collection quality  pantograph-catenary parameters optimization  surrogate model  sensitivity analysis  
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
Authors:  Zhang MH(张莫晗);  Yin B(银波);  Sun ZX(孙振旭);  Bai, Ye;  Yang GW(杨国伟)
Favorite  |  View/Download：82/0  |  Submit date：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
Authors:  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)  |  Favorite  |  View/Download：106/8  |  Submit date：2023/09/26
Wind field characteristics  mathematical model  roughness  numerical simulation  wind speed fitting  
Robust optimisation of the streamlined shape of a high-speed train in crosswind conditions 期刊论文
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS, 2023, 卷号: 17, 期号: 1, 页码: 2234012
Authors:  Wang YT(王业腾);  Sun ZX(孙振旭);  Ju SJ(鞠胜军);  Guo DL(郭迪龙);  Yang GW(杨国伟)
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Railway aerodynamic  High-speed train  Crosswind  Robust optimisation  Flow structures  >  
Dynamic Parameter Optimization of High-Speed Pantograph Based on Swarm Intelligence and Machine Learning 期刊论文
INTERNATIONAL JOURNAL OF APPLIED MECHANICS, 2023, 卷号: 15, 期号: 9, 页码: 2350078
Authors:  Zhou R(周睿);  Xu XH(许向红)
Adobe PDF(1896Kb)  |  Favorite  |  View/Download：97/12  |  Submit date：2023/10/23
Contact force of pantograph-catenary system  selective crow search algorithm  surrogate model  multi-parameter optimization  
Special Issue on Aerodynamic Noise Research of High-Speed Trains 期刊论文
APPLIED SCIENCES-BASEL, 2023, 卷号: 13, 期号: 12, 页码: 6906
Authors:  Li, Tian;  Sun ZX(孙振旭);  Wang, Tiantian
Adobe PDF(164Kb)  |  Favorite  |  View/Download：20/2  |  Submit date：2023/09/05
Study of unsteady aerodynamic performance of a high-speed train entering a double-track tunnel under crosswind conditions 期刊论文
JOURNAL OF FLUIDS AND STRUCTURES, 2023, 卷号: 118, 页码: 103836
Authors:  Luo, Jianjun;  Wang, Lei;  Shang, Suying;  Li, Feilong;  Guo DL(郭迪龙);  Gao, Liping;  Wang, Dengke
Adobe PDF(5569Kb)  |  Favorite  |  View/Download：49/4  |  Submit date：2023/06/15
Aerodynamic performance  Flow structures  High -speed train  Crosswinds  Railway tunnel  Transient pressure  
Prediction of coupling effect between pantograph and tunnel resulting from car body vibration using an aerodynamic and multi-body dynamic coupling approach 期刊论文
VEHICLE SYSTEM DYNAMICS, 2023
Authors:  Ji ZL(纪占玲);  Guo Y(郭易);  Guo DL(郭迪龙);  Yang GW(杨国伟);  Mao, Jun
Adobe PDF(3359Kb)  |  Favorite  |  View/Download：75/4  |  Submit date：2023/06/15
Coupling effect between pantograph and tunnel  high-speed trains  car body vibration  aerodynamic and multi-body dynamic coupling  pantograph  
The influence of operation variables on stress spectrum of high-speed train bogie frames 期刊论文
VEHICLE SYSTEM DYNAMICS, 2023, 卷号: 61, 期号: 2, 页码: 499-512
Authors:  Yuan Z(袁征);  Chen XJ(陈贤佳);  Li, Cen;  Ma, Lijun;  Li, Qiang;  Sun, Shouguang;  Wei YJ(魏宇杰)
Adobe PDF(2480Kb)  |  Favorite  |  View/Download：224/49  |  Submit date：2022/05/17
Stress spectrum  fatigue  operation variable  high-speed train  segmented Weibull model  
A computational method for the load spectra of large-scale structures with a data-driven learning algorithm 期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2023, 卷号: 66, 期号: 1, 页码: 141-154
Authors:  Chen XJ(陈贤佳);  Yuan, Zheng;  Li, Qiang;  Sun, ShouGuang;  Wei YJ(魏宇杰)
Adobe PDF(2512Kb)  |  Favorite  |  View/Download：309/95  |  Submit date：2023/02/09
load spectrum  computational mechanics  deep learning  data-driven modeling  gated recurrent unit neural network