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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 98
PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE
Edited by: J. Pombo
Paper 78

SiPESC Based Optimization for the Design of High Speed Trains

M. Gong1, A.Q. Tian1, S.S. Ding1, S. Zhang2 and Z. Zhang2

1CSR Qingdao Sifang Locomotive & Rolling Stock Co., Ltd., Qingdao, China
2State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Faculty of Vehicle Engineering and Mechanics, Dalian University of Technology, China

Full Bibliographic Reference for this paper
M. Gong, A.Q. Tian, S.S. Ding, S. Zhang, Z. Zhang, "SiPESC Based Optimization for the Design of High Speed Trains", in J. Pombo, (Editor), "Proceedings of the First International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 78, 2012. doi:10.4203/ccp.98.78
Keywords: high speed train, SiPESC, optimization.

Summary
The newly developed software SiPESC was used to optimize the key components in the design of a high speed train. By the use of the SiPESC flow chart, the optimization can be executed automatically with consideration of the local and the whole models of the high speed train. The computational results show that the SiPESC software is very efficient for the controlling of the optimization process for the local model in a high speed train. The results obtained can be summarised as follows:
  1. By use of the SiPESC software, the optimization process can be controlled and managed by the flow chart.
  2. The function of each node in this flow chart can be deleted or modified according to the users. The function between two nodes should be defined to describe what can be done between the two nodes. Five selections including: function started; function ended; function stopped; procedure failed; and procedure error can be available between two nodes in the SiPESC flowchart.
  3. The volume of the local model for the train window can be decreased by 56.1% with 4.3% increase of the maximum von Mises stress.

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