Considering the influence of running conditions on the running performance of high-speed rail vehicles, the global optimization of rail vehicle suspension parameters can improve the adaptability of rail vehicles under multiple running conditions. The parameters that have a significant effect on the rail vehicle running performance are selected via the sensitivity analysis of rail vehicle suspension parameters. Taking account of four typical running conditions in the process of rail vehicle running, the rail vehicle running performance surrogate model under multiple running conditions based on the RBF surrogate model method is employed. This study vitally provides the theory and databases for the global optimization of suspension parameters and has a certain reference significance to improve the running performance of rail vehicles.


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    Title :

    A Global Optimization Method for Suspension Parameters of High-Speed Rail Vehicle Based on RBF Surrogate Model


    Contributors:
    Yang, Yue (author) / Li, Chuanxin (author) / Wu, Daole (author) / Wei, Xiaobin (author) / Wang, Panpan (author) / Liu, Wenlong (author)

    Conference:

    19th COTA International Conference of Transportation Professionals ; 2019 ; Nanjing, China


    Published in:

    CICTP 2019 ; 2041-2050


    Publication date :

    2019-07-02




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English