Journal of Applied Science and Engineering

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Qibin Wang1This email address is being protected from spambots. You need JavaScript enabled to view it., Jingying Ren1, and Mingwei Piao2

1College of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian, 116028, China

2Mechanical Engineering School, Dalian Jiaotong University, Dalian, 116028, China



Received: October 8, 2023
Accepted: November 29, 2023
Publication Date: December 29, 2023

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

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High-speed rail stocks need to seek a more suitable system design method for optimizing the design configuration in terms of system integrity as a typical research case of nonlinear systems. The self-adaptive improvement design based on ICE3 series bogie transforms the complex primary hunting phenomenon into simple carbody instability problem by means of big data mining such as orthogonal decomposition or modal design, and makes the minimum allowable equivalent conicity λemin reduced to (0.03 - 0.05). The linear stability analysis shows that the carbody instability problem of the self-adaptive improved design is caused by the complex interface singularity of the anti-rolling torsion bar, which can be effectively improved by the semi-active inter-vehicles damping technique. Due to the strong robustness of the self-adaptive improvement design, it can be realized to cross the railway dedicated lines with different speed grades, and then conditionally improve the self-cleaning ability of detrimental wear.

Keywords: Self-adaptive Bogie; carbody instability motion; linear stability analysis; complex interface singularity; semi-active damping technique

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