Lateral Rail Unevenness Spectra Corresponding to the Damages of Different Components in the HSR Track-Bridge System Subjecting to Random Earthquakes

ABSTRACT

When the high-speed railway (HSR) bridge is subjected to earthquakes, some components in the HSR bridge are damaged, and these components’ damages will be reflected in the deterioration of the rail unevenness. In this study, a framework to address the lateral seismic rail unevenness corresponding to the damages of different components in the HSR track-bridge subjecting to earthquakes is developed. In the first place, a benchmark HSR track-bridge system is selected to conduct the nonlinear dynamic analysis, and the distribution law of the seismic residual drifts in the HSR track-bridge system subjecting to different earthquake intensity levels is proposed. Next, a refined mapping model is developed to assess the additional rail unevenness corresponding to the damages of different components in the system. The seismic rail unevenness sample is established by combining the initial and additional rail unevenness. Finally, the assessment method for the power spectrum density (PSD) of the seismic rail unevenness is introduced, and the PSD assessments of rail unevenness corresponding to the seismic damages of different components in the HSR track-bridge system are developed. The proposed methodology provides an innovative approach to assessing the seismic damage status of the HSR track-bridge subjecting to random earthquakes.

KEYWORDS:

• High-speed railway
• track-bridge system
• seismic rail unevenness
• damage
• power spectrum density

Acknowledgments

The authors greatly acknowledge the financial supports from the Natural Science Foundation of Hunan Province, China (2022JJ40587), the Science and Technology Innovation Program of Hunan Province (2021RC2011), the China Postdoctoral Science Foundation (2021M703648), and the National Natural Science Foundation of China (U193420118). The findings and opinions in the text are those of the authors.

Disclosure Statement

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

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [U193420118]; the Science and Technology Innovation Program of Hunan Province [2021RC2011]; the China Postdoctoral Science Foundation [2021M703648]; the Natural Science Foundation of Hunan Province, China (2022JJ40587).