JOURNAL ARTICLE
The Effect of Soil–Structure Interaction on Vehicle Safety on High-Speed Rail Bridges Subjected to Near-Fault Ground Vibrations.
Published In: International Journal of Structural Stability & Dynamics, 2026, v. 26, n. 7. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Wang, Chao; Chen, Lingkun; Shi, Hongqi; Chen, Qizhi; Xu, Longjun; Jin, Hesong; Jiang, Lizhong; Ngo, Tuan 3 of 3
Abstract
There has been a growing interest in studying the impact of soil–structure interaction (SSI) on high-speed rail (HSR) bridges during near-fault earthquakes. A model of the HSR vehicle–track–bridge–soil–pile (HSR-VTBSP) system is created to compute its seismic response in both elastic and plastic states. The model is used to investigate how the SSI affects the elastic–plastic seismic response of bridges. The study reveals that SSI greatly affects the seismic response of bridges. Even when subjected to far-field earthquakes, SSI still significantly impacts the length of bridge girders. Consequently, the SSI effect has a notable influence on the safe operation of trains on bridges. This paper reports the following novel discoveries: The "derailment" condition is determined by the SSI effect, which is the safe limit amplitude of wheel–rail relative displacement with respect to the entire train derailment process in train track aggregation. r _ max / disYw ≤ 7 0 mm. The findings of this research may serve as a valuable reference for investigating the measurement of lateral displacement in the wheel–rail contact point. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Structural Stability & Dynamics. 2026/04, Vol. 26, Issue 7, p1
- Document Type:Article
- Subject Area:Applied Sciences
- Publication Date:2026
- ISSN:0219-4554
- DOI:10.1142/S0219455425410184
- Accession Number:191986146
- Copyright Statement:Copyright of International Journal of Structural Stability & Dynamics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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