Journal of Hebei University of Science and Technology (Jun 2018)

Survey on the hunting stability of High-speed Trains

  • Weiwei LIU,
  • Ruijin JIANG,
  • Fengwei LIU,
  • Liangwei ZHANG

DOI
https://doi.org/10.7535/hbkd.2018yx03001
Journal volume & issue
Vol. 39, no. 3
pp. 198 – 203

Abstract

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The long-term service safety and reliability of high-speed trains are the primary guarantee for the construction of high-speed trains. Self-excited hunting movement is a unique form of instability for rail vehicles. In order to guarantee the hunting stability, high speed and safety traffic of high speed trains, on the basis of the theoretical research methods of high speed train hunting unstability, the main research methods and their deficiency are summarized, as well as the recent research hotspots. The research of non-smooth bifurcation and asymmetric operation stability is prospected. Without considering the nonlinear characteristics of the vehicle, the characteristic root method, the routh-hurwitz criterion method and the minimum damping coefficient can be used to analyze the certainty stability of high speed trains. When the wheel-rail contact and the nonlinear characteristics of the suspension system must be considered, the method of eigenvalue change, QR algorithm, binary method, center manifold method, shooting method and continuation algorithm can be used. In addition, stochastic nonlinear dynamics hamilton theory, monte-carlo method, semi-implicit milstein stochastic numerical simulation and small data quantity can be used to analyze random stability, random bifurcation and its types. Generally speaking, stochastic stability and random bifurcation can get closer to the real conditions of the critical speed of instability because of considering their own structure parametric excitation and wheeltrack contact irregularity excitation. This aspect of theoretical research and experimental research has been paid more attention to by researchers, and has become a hot topic of the hunting stability of high speed trains.

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