In this paper a computational application developed by the authors (RACING) has been used to study the corrugation growth. This application obtains track and wheelset receptances and considers corrugation as a complex feedback determined also by contact parameters. The tool developed has been used to carry out a parametric study in order to find the influence of the 14 main parameters. Among the track parameters, the following five have more influence on the corrugation: distance between sleepers, sleeper mass, pad vertical stiffness, pad lateral stiffness and ballast vertical stiffness. The optimization study has been developed focusing the attention on the first three parameters. From the optimization work, combinations of parameters are obtained which give an optimum G(f) function, this is, the lowest maximum peak of G(j). Optimization using Genetic Algorithms has proved to be more effective than using the Nelder-Mead method. The improvement obtained with the optimization is very significant. It has been considered that the distance between sleepers as well as the sleeper mass and the pad vertical stiffness have a physical dispersion that cannot be neglected. Because of this dispersion, changes appear in the track receptances. This work has been continued to take into account that small changes in the track and in the cont act values could cause changes to appear in the G(f) function.


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    Titel :

    Optimization of track parameters, considering their physical dispersion, to minimize rail corrugation


    Beteiligte:
    Oyarzabal, O. (Autor:in) / Gomez, J. (Autor:in) / Santamaria, J. (Autor:in) / Vadillo, E.G. (Autor:in)


    Erscheinungsdatum :

    2008


    Format / Umfang :

    7 Seiten, 6 Bilder, 1 Tabelle, 14 Quellen





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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