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Vehicle System Dynamics
International Journal of Vehicle Mechanics and Mobility
Volume 61, 2023 - Issue 1
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Research Articles

Effect of viscoelastic-plastic dynamic properties of rail pads on curved rail dynamic characteristics based on the modified SEM–SM hybrid method

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Pages 58-82 | Received 06 Aug 2021, Accepted 12 Dec 2021, Published online: 04 Apr 2022
 

Abstract

To accurately and efficiently investigate the influence of the viscoelastic-plastic dynamic properties of rail pads on curved rail vibration characteristics, a spatial model of an infinitely curved track was developed by combining the spectral element method (SEM) and symplectic method (SM). Specifically, a fractional derivative Zener model combined with a Berg friction model was used to describe the dynamic properties of the rail pad. Subsequently, the curved rail mobility and decay rate (DR) were analyzed by accounting for the frequency, preload, and amplitude dependence of the rail pad. In conclusion, the frequency dependence mainly influenced the low- and medium-frequency vibrations of the curved rail and made the vibration within this range to shift to higher frequencies. In terms of the curved rail DRs of different degrees of freedom, because of their coupling effects, the wave modes were converted mutually at the cross frequency of their DR curves, and the torsional (axial) wave had the maximum (minimum) DR. The preload dependence had a significant effect on the vertical and torsional vibrations of the curved rail. As the preload increased, the cut-on frequencies of the first vertical and torsional waves increased; consequently, the curved rail vibrations were transmitted more in the downward.

Acknowledgments

The authors would like to thank Prof. Ping Wang and Prof. Kai Wei for providing instructions and guidance in arranging this paper.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research was supported by the National Natural Science Foundation of China (grant number U1734207, 51978583), Technology Support Program of Sichuan Province (grant number 2021YFSY0061) and the Fundamental Research Funds for the Central Universities (grant number 2682018CX01).

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