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.


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    Titel :

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


    Beteiligte:
    Persson, Ingemar (Autor:in) / Nilsson, Rickard (Autor:in) / Bik, Ulf (Autor:in) / Lundgren, Magnus (Autor:in) / Iwnicki, Simon (Autor:in)

    Erschienen in:

    Vehicle System Dynamics ; 48 , sup1 ; 89-104


    Erscheinungsdatum :

    01.12.2010




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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

    Persson,I. / Nilsson,R. / Bik,U. et al. | Kraftfahrwesen | 2010


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    Heland, Hans von | TIBKAT | 1959


    Stockholm-Arlanda rail link

    Online Contents | 1995


    Safe in the Stockholm underground

    British Library Online Contents | 2007