Improving the track friendliness of a railway vehicle can benefit the railway industry significantly. Rail surface damage in curves can be reduced by using vehicles with a lower Primary Yaw Stiffness (PYS); however, this can reduce high-speed stability and worsen ride comfort. Previous studies have shown that this trade-off between track friendliness and passenger comfort can be successfully combated by using an inerter in the primary suspension; however, these utilise simplified vehicle models, contact models, and track inputs. Considering a realistic four-axle passenger vehicle model, this paper investigates the extent to which the PYS can be reduced with inertance-integrated primary lateral suspensions without increasing root-mean-square (RMS) carbody lateral accelerations. The vehicle model, with these enhanced suspensions, has been created in VAMPIRE,  with the dynamics being captured over a range of vehicle velocities and equivalent conicities. Based on systematic optimisations using network-synthesis theory, several beneficial inertance-integrated configurations are identified, and the PYS can be reduced by up to 47% compared to the default vehicle (a potential Network Rail Variable Usage Charge saving of 26%), without increasing RMS carbody lateral accelerations. Further simulations are performed to investigate the vehicle's performance in curve transitions and when subject to one-off peak lateral track irregularities.


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    Titel :

    Improving the track friendliness of a four-axle railway vehicle using an inertance-integrated lateral primary suspension


    Beteiligte:
    Lewis, T. D. (Autor:in) / Li, Y. (Autor:in) / Tucker, G. J. (Autor:in) / Jiang, J. Z. (Autor:in) / Zhao, Y. (Autor:in) / Neild, S. A. (Autor:in) / Smith, M. C. (Autor:in) / Goodall, R. (Autor:in) / Dinmore, N. (Autor:in)

    Erschienen in:

    Vehicle System Dynamics ; 59 , 1 ; 115-134


    Erscheinungsdatum :

    2021-01-02


    Format / Umfang :

    20 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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