To protect high-speed trains in derailments, reinforced concrete (RC) derailment containment walls are often built beside the track. The resulting problem is that derailed trains hit the surrounding RC derailment containment wall. This paper aims to investigate high-speed train post-derailment impact responses and evaluate the crashworthiness and containment capacity of the RC derailment containment wall. The finite element (FE) models of the eight-vehicle marshalling high-speed train and RC wall were developed and verified against single rail vehicle derailment test, eight-vehicle marshalling train-to-train impact test, and RC structure drop tower tests. FE simulations of the train post-derailment crash on a curve of 400 m radius were performed in LS-DYNA. Results show that the RC wall is capable of protecting high-speed trains from running off the wall in post-derailment collisions up to 150 km/h, while the train may fall off high-speed railway bridges with a derailment velocity beyond 150 km/h. The vehicles of the derailed train successively hit the RC wall due to the multi-vehicle coupling effect of trains. The number of vehicles hitting the wall increases with the increase in derailment velocity. This study provides engineering help for designing RC walls and protecting high-speed train occupants in post-derailment collisions on a curve.


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    Titel :

    Assessment of High-Speed Train Interactions with Containment Walls in Post-derailment Collisions


    Weitere Titelangaben:

    Mechan. Machine Science


    Beteiligte:
    Li, Shaofan (Herausgeber:in) / Deng, Gongxun (Autor:in) / Peng, Yong (Autor:in) / Li, Benhuai (Autor:in) / Wang, Kui (Autor:in) / Simms, Ciaran (Autor:in)

    Kongress:

    International Conference on Computational & Experimental Engineering and Sciences ; 2023 ; Shenzhen, China May 26, 2023 - May 29, 2023



    Erscheinungsdatum :

    25.01.2024


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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