Chapter
Feb 8, 2022
Second International Conference on Rail Transportation

Influence of Curve Geometric Parameters on Dynamic Interactions of Side-Frame Cross-Braced Bogie

Publication: ICRT 2021

ABSTRACT

Based on the theory of vehicle-track coupled dynamics and the actual parameters of the 27 t axle load side-frame cross-braced bogie, the heavy haul railway vehicle-track dynamic model on curved track was established, and by utilizing the computer simulation method, the influence of some curve geometric parameters such as curve radius, rail superelevation, et al., on dynamic interactions were simulated and analyzed. It is found that the curve radius has obvious effects on dynamic interactions, especially at the range of 800 m; lengthening the transition curve can decrease the dynamic forces to some extent, but there is an inflexion, before that, the variation of the length of transition curve affects obviously, after that, does little; much too deficient or surplus superelevation will both aggravate the wheel/rail dynamic response; and almost every dynamic indicator has no changes with the length variation of circular curve. The results indicate that the curve radius is the key parameter affecting the dynamic interactions, the minimum curve radius should be more than 800 m; the influence of length of transition curve on dynamic interaction has an inflexion, normally the minimum length of transition curve can be determined by the inflexion (40~60 m); it is beneficial to negotiate a curve with the equilibrating superelevation or the proper deficient superelevation (≤ 20 mm); and the length of circular curve has almost no effects on dynamic interactions, its length can be determined by the actual engineering needs.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 51965016), the National Key Research & Development Funded Project (No. 2016YFB1200501) and the Doctoral Research Start-up Funded Project (No. MY2015B009).

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Go to ICRT 2021
ICRT 2021
Pages: 333 - 341
Editors: Wanming Zhai, Ph.D., Southwest Jiaotong University, Kelvin C. P. Wang, Ph.D., Oklahoma State University, and Shengyang Zhu, Ph.D., Southwest Jiaotong University
ISBN (Online): 978-0-7844-8388-6

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Published online: Feb 8, 2022

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Chunlei Yang, Ph.D. [email protected]
School of Information Engineering, Hubei Minzu Univ., Enshi. E-mail: [email protected]
Yunhua Huang, Ph.D. [email protected]
School of Mechanical Engineering, Southwest Jiaotong Univ., Chengdu. E-mail: [email protected]
Fu Li, Ph.D. [email protected]
School of Mechanical Engineering, Southwest Jiaotong Univ., Chengdu. E-mail: [email protected]

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