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Development of a two-level seismic performance indicator for a high-speed railway vehicle–track–tunnel system

Development of a two-level seismic performance indicator for a high-speed railway vehicle–track–tunnel system
Development of a two-level seismic performance indicator for a high-speed railway vehicle–track–tunnel system
The ongoing expansion of high-speed railway systems in seismically active regions necessitates improved methods for evaluating the seismic resilience of the railway infrastructure. This study aimed to develop and establish a seismic performance indicator for coupled vehicle–track–tunnel systems to facilitate the assessment of safety under earthquake conditions. A refined finite element model was created, capturing the intricate dynamical interactions between a high-speed train, the track, and the tunnel, with a particular focus on the heterogeneity of the soil stratum. The model, synthesized through a joint simulation using HyperMesh and ABAQUS, was validated with theoretical solutions and experimental data, enhancing its predictive reliability of the system’s seismic response. The research resulted in the innovation of a two-level seismic performance indicator, offering a quantitative tool for evaluating the integrity and safety of a high-speed railway tunnel during seismic events. Although the performance indicator has shown promise in initial validations, it is emphasized that continued verification and refinement are paramount for ensuring its adaptability across various seismic scenarios. The contribution of this research lies in providing a novel, rigorous approach for the seismic design evaluation, which is critical for advancing the safety standards of high-speed railway infrastructures.
Xia, Shengqi
514f68fa-d02e-4a02-86b8-599c4f838ace
Chen, Zhiyi
035970a8-f84f-42a1-864d-fe81e21b948d
Li, Liqun
38dca44b-c597-43cc-a774-7dac7299a344
Xia, Shengqi
514f68fa-d02e-4a02-86b8-599c4f838ace
Chen, Zhiyi
035970a8-f84f-42a1-864d-fe81e21b948d
Li, Liqun
38dca44b-c597-43cc-a774-7dac7299a344

Xia, Shengqi, Chen, Zhiyi and Li, Liqun (2024) Development of a two-level seismic performance indicator for a high-speed railway vehicle–track–tunnel system. International Journal of Computational Methods, 22 (03), [2342013]. (doi:10.1142/S0219876223420136).

Record type: Article

Abstract

The ongoing expansion of high-speed railway systems in seismically active regions necessitates improved methods for evaluating the seismic resilience of the railway infrastructure. This study aimed to develop and establish a seismic performance indicator for coupled vehicle–track–tunnel systems to facilitate the assessment of safety under earthquake conditions. A refined finite element model was created, capturing the intricate dynamical interactions between a high-speed train, the track, and the tunnel, with a particular focus on the heterogeneity of the soil stratum. The model, synthesized through a joint simulation using HyperMesh and ABAQUS, was validated with theoretical solutions and experimental data, enhancing its predictive reliability of the system’s seismic response. The research resulted in the innovation of a two-level seismic performance indicator, offering a quantitative tool for evaluating the integrity and safety of a high-speed railway tunnel during seismic events. Although the performance indicator has shown promise in initial validations, it is emphasized that continued verification and refinement are paramount for ensuring its adaptability across various seismic scenarios. The contribution of this research lies in providing a novel, rigorous approach for the seismic design evaluation, which is critical for advancing the safety standards of high-speed railway infrastructures.

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More information

Accepted/In Press date: 18 June 2024
Published date: 31 August 2024

Identifiers

Local EPrints ID: 498639
URI: http://eprints.soton.ac.uk/id/eprint/498639
PURE UUID: 97ef3634-2e40-4ad0-8cf6-2894c6336c3c
ORCID for Shengqi Xia: ORCID iD orcid.org/0009-0006-4440-5730

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Date deposited: 24 Feb 2025 18:02
Last modified: 25 Feb 2025 03:13

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Contributors

Author: Shengqi Xia ORCID iD
Author: Zhiyi Chen
Author: Liqun Li

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