Use of a genetic algorithm to improve the rail profile on Stockholm underground

Persson, Ingemar, Nilsson, Rickard, Bik, Ulf, Lundgren, Magnus and Iwnicki, S. (2010) Use of a genetic algorithm to improve the rail profile on Stockholm underground. Vehicle System Dynamics, 48 (sup1). pp. 89-104. ISSN 0042-3114

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Abstract

In this paper, a genetic algorithm optimisation method has been used to develop an improved rail profile for Stockholm underground. An inverted penalty index based on a number of key performance parameters was generated as a fitness function and vehicle dynamics simulations were carried out with the multibody simulation package Gensys. The effectiveness of each profile produced by the genetic algorithm was assessed using the roulette wheel method. The method has been applied to the rail profile on the Stockholm underground, where problems with rolling contact fatigue on wheels and rails are currently managed by grinding. From a starting point of the original BV50 and the UIC60 rail profiles, an optimised rail profile with some shoulder relief has been produced. The optimised profile seems similar to measured rail profiles on the Stockholm underground network and although initial grinding is required, maintenance of the profile will probably not require further grinding.

Item Type:	Article
Subjects:	T Technology > TF Railroad engineering and operation
Schools:	School of Computing and Engineering School of Computing and Engineering > Institute of Railway Research
Related URLs:	Author
Depositing User:	Graham Stone
Date Deposited:	24 Aug 2012 13:13
Last Modified:	28 Aug 2021 11:20
URI:	https://eprints.hud.ac.uk/id/eprint/14626

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