Correlation of car-body vibration and train overturning under strong wind conditions

•Car-body vibration characteristics in windy conditions is investigated by a Full-scale test.•A railway half-vehicle vibration-overturning dynamics analytical model is developed.•A formula for the evaluation of the train overturning coefficient is obtained. A transient large-amplitude car-body vibra...

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Veröffentlicht in:Mechanical systems and signal processing 2020-08, Vol.142, p.106743, Article 106743
Hauptverfasser: Liu, Dongrun, Marita Tomasini, Gisella, Rocchi, Daniele, Cheli, Federico, Lu, Zhaijun, Zhong, Mu
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Sprache:eng
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Zusammenfassung:•Car-body vibration characteristics in windy conditions is investigated by a Full-scale test.•A railway half-vehicle vibration-overturning dynamics analytical model is developed.•A formula for the evaluation of the train overturning coefficient is obtained. A transient large-amplitude car-body vibration could seriously affect train operational safety and riding comfort when a high-speed train passes through a complex terrain under strong wind conditions. In this study, according to the car-body vibration characteristics under strong wind conditions and the definition of the train overturning coefficient, a railway half-vehicle vibration-overturning analytical model is developed and a formula for the evaluation of the overturning coefficient known the car-body vibration parameters (mainly car-body roll angle lateral displacement) is obtained. Moreover, the formula validity is verified by multi-body nonlinear numerical code simulations and full-scale tests. The results show that the train operational safety under strong wind conditions can be evaluated with a good approximability using the roll angle and the lateral displacement of the center of gravity of the car-body, and the train overturning coefficient calculated using the formula proposed in this paper is well correlated with the overturning coefficient directly measured by instrumented wheelset, and the value amplitude was nearly the same.
ISSN:0888-3270
1096-1216
DOI:10.1016/j.ymssp.2020.106743