Structural Engineering and Mechanics

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Composite locomotive frontend analysis and optimization using genetic algorithm

  • Rohani, S.M. (Department of Mechanical Engineering, Faculty of Engineering, Imam Hossein University) ;
  • Vafaeesefat, A. (Department of Mechanical Engineering, Faculty of Engineering, Imam Hossein University) ;
  • Esmkhani, M. (Engineering Department, Mapnalocomotive Company, MAPNA Group) ;
  • Partovi, M. (Engineering Department, Mapnalocomotive Company, MAPNA Group) ;
  • Molladavoudi, H.R. (Engineering Department, Mapnalocomotive Company, MAPNA Group)
  • Received : 2013.05.27
  • Accepted : 2013.08.31
  • Published : 2013.09.10
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Abstract

This paper addresses the structural design of the front end of Siemens ER24 locomotive body. The steel structure of the frontend is replaced with composite. Optimization of the composite lay-up is performed using Genetic Algorithms. Initially an optimized single design for the entire structure is presented. Then a more refined optimum is developed by considering the separate optimization of 7 separate regions of the structure. Significant savings in the weight of the structure are achieved.

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References

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