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Curving Performance of High-Speed Trains Running on Steep Grades

  • Yanlin Hu
  • Liang Ling
  • Kaiyun WangEmail author
  • Wanming Zhai
Conference paper
  • 7 Downloads
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

China has been constructing a large high-speed railway network, which covers the high-speed railways including a large number of steep grades and curves in the mountain area. For example, there are 24 steep grades with gradient larger than 1.5% in Xi’an-Chengdu high-speed railway, in which the longest steep grade (2.5%) has a length of 45 km. Therefore, the high-speed trains have to suffer large traction forces or dynamic braking forces for a long period when they pass through these severe grades. This paper presents a study of the effects of traction and braking on the curving performance of high-speed railway vehicles when the train passes through severe grades. A numerical model considering the track grade, the train traction and braking, and the train-track interaction is formulated. The dynamic curving performance of a high-speed train subjected to heavy traction and braking is investigated. The effects of tractive/braking force, the track gradient, and the train speed are reported. This study is shown to enhance the understanding of the combined effects of curving and traction/braking on the dynamics performances of high-speed trains.

Keywords

High speed railway Curving performance Steep grade Train–track interaction 

Notes

Acknowledgement

This research was supported by the National Key R&D Program of China (Grant No. 2016YFB1200401-102C), the R&D Program of China Railway Corporation (Grant No. P2018T001), the National Natural Science Foundation of China (Grant No. 51805452), the Application Basic Research Project of Sichuan Province (No. 2019YJ0232).

References

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    Ling, L.: 3D rigid-flexible coupling dynamics of high-speed train/track system [doctor thesis]. Southwest Jiaotong University, Chengdu (2015)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Yanlin Hu
    • 1
  • Liang Ling
    • 1
  • Kaiyun Wang
    • 1
    Email author
  • Wanming Zhai
    • 1
  1. 1.State Key Laboratory of Traction PowerSouthwest Jiaotong UniversityChengduChina

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