This paper deals with a multi-objective optimization of geometrical and mechanical properties of a high-speed railway track when subjected to a moving load representative of a train axle. The model of the track employs several simplifications; it was implemented in two dimensions on the explicit dynamics module LS-DYNA for the finite element commercial software ANSYS. The design space is formed by the ballast height and by parameters representing the dynamic properties of the rail-pads. The objective function covers minimization of the maximum ascending and descending displacement and velocity in the main structural elements, namely the rail, the sleepers and the ballast. A genetic algorithm implementation is used to optimize these functions, which proved to be effective in finding quasi-optimal solutions with a low search effort. The tools presented can give insight into how the behaviour of the railway track is influenced by various design parameters.


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    Title :

    Optimization of the behaviour of high-speed railway tracks using a genetic algorithm approach


    Contributors:


    Publication date :

    2015-05-01


    Size :

    19 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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