Seismic response prediction models of high-speed railway track-bridge coupling system considering varying pier heights

He, Chang; Guo, Yanyan; Zhu, Wang; Liu, Bolun; Lai, Zhipeng; Jiang, Lizhong

doi:10.1016/j.istruc.2024.107455

Structures

2024

DOI: 10.1016/j.istruc.2024.107455

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Seismic response prediction models of high-speed railway track-bridge coupling system considering varying pier heights

Chang He,

Yanyan Guo,

Wang Zhu

et al.

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Postearthquake train operation safety assessment model based on machine learning

Mao,

He,

Jiang

2024

Intelligent Transportation Infrastructure

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Assessing the seismic risk to high-speed rail systems with limited structural damage data is a challenging task. This study employs machine learning algorithms to predict the wheel-rail forces of high-speed trains operating under post-earthquake conditions, particularly when infrastructure along the railway is damaged. By developing a post-earthquake train operation safety assessment model, this paper effectively predicts the impact of track irregularities induced by different earthquake intensities on wheel-rail interactions. The results obtained through feature selection and regression analysis using the Random Forest algorithm provide valuable insights into key safety indicators for post-earthquake train operations. Compared to traditional multibody dynamic models, this approach significantly improves the efficiency of analysis and computation. An analysis of the results across multiple speed levels reveals that trains operating at 250 km/h face derailment risks when subjected to high-intensity earthquakes (PGA > 0.6 g). The proposed predictive safety assessment model demonstrates that adjusting train speeds according to seismic intensity can effectively enhance operational safety, offering critical support for post-earthquake emergency recovery efforts.

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Postearthquake train operation safety assessment model based on machine learning

Mao,

He,

Jiang

2024

Intelligent Transportation Infrastructure

View full text Add to dashboard Cite

show abstract

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Seismic response prediction models of high-speed railway track-bridge coupling system considering varying pier heights

Cited by 1 publication

References 24 publications

Postearthquake train operation safety assessment model based on machine learning

Postearthquake train operation safety assessment model based on machine learning

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