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Keywords: high-speed train, streamlined head, response surface method, optimal Latin hypercube design, multi-island genetic algorithm.

Summary

In order to reduce the aerodynamic drag force of a high-speed train, an effective automatic optimization design method for the streamlined head of a high-speed train was established, and the optimization design for the drag reduction of the streamlined head of the high-speed train was carried out. The three dimensional parametric model of the streamlined head of the high-speed train was set up and five optimization design variables were extracted. The optimal Latin hypercube design method was used to obtain the uniform sampling points from the design space of the optimization design variables. The corresponding aerodynamic drag forces of the high-speed train were computed using a computational fluid dynamic method. The approximate computational model between the optimization design variables and the aerodynamic drag force of the high-speed train was set up using the response surface method. The error between the actual value and predictive value of the aerodynamic drag force is less than one percent, which meets the requirement of the engineering computational accuracy. In the process of the optimization, the aerodynamic drag force of the high-speed train was computed using the approximate computational model, the automatic update of the optimization design variables were achieved using the multi-island genetic algorithm. The computational time of the optimization is greatly reduced. All optimization design variables and the aerodynamic drag force show a trend of convergence with repeated iterative computation. By contrasting the aerodynamic drag force of the original streamlined head, the aerodynamic drag force of the optimized streamlined head was reduced by 3.643 percent.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 108 PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: J. Kruis, Y. Tsompanakis and B.H.V. Topping Paper 201 Drag Optimization of the High-Speed Train Head using the Response Surface Method S.S. Ding^1,2, J. Du² and J.L. Liu² ¹School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, China ²CSR Qingdao Sifang Locomotive & Rolling Stock, Co. Ltd, CSR Corporation Limited, Qingdao, China doi:10.4203/ccp.108.201 purchase the full-text of this paper Full Bibliographic Reference for this paper S.S. Ding, J. Du, J.L. Liu, "Drag Optimization of the High-Speed Train Head using the Response Surface Method", in J. Kruis, Y. Tsompanakis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 201, 2015. doi:10.4203/ccp.108.201 Keywords: high-speed train, streamlined head, response surface method, optimal Latin hypercube design, multi-island genetic algorithm. Summary In order to reduce the aerodynamic drag force of a high-speed train, an effective automatic optimization design method for the streamlined head of a high-speed train was established, and the optimization design for the drag reduction of the streamlined head of the high-speed train was carried out. The three dimensional parametric model of the streamlined head of the high-speed train was set up and five optimization design variables were extracted. The optimal Latin hypercube design method was used to obtain the uniform sampling points from the design space of the optimization design variables. The corresponding aerodynamic drag forces of the high-speed train were computed using a computational fluid dynamic method. The approximate computational model between the optimization design variables and the aerodynamic drag force of the high-speed train was set up using the response surface method. The error between the actual value and predictive value of the aerodynamic drag force is less than one percent, which meets the requirement of the engineering computational accuracy. In the process of the optimization, the aerodynamic drag force of the high-speed train was computed using the approximate computational model, the automatic update of the optimization design variables were achieved using the multi-island genetic algorithm. The computational time of the optimization is greatly reduced. All optimization design variables and the aerodynamic drag force show a trend of convergence with repeated iterative computation. By contrasting the aerodynamic drag force of the original streamlined head, the aerodynamic drag force of the optimized streamlined head was reduced by 3.643 percent. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £75 +P&P)
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