Applied and Computational Engineering
- The Open Access Proceedings Series for Conferences
Proceedings of the 2023 International Conference on Functional Materials and Civil Engineering
Series Vol. 24 , 07 November 2023
Open
Access | Article
Seismic vulnerability analysis on an extra-large highway-railway dual-used arch bridge
* Author to whom correspondence should be addressed.
Abstract
The seismic vulnerability analysis is of great important for the design, operation and maintain. The selected extra-large highway and railway dual-used arch bridge contains high geometric nonlinearity and is one of the transportation junctions. Therefore, it is necessary to conduct seismic response analysis. The research results can provide reference for the seismic design and seismic response analysis of target bridge and similar typed bridges. Thus, it has high theoretical value for the design and promotion of similar bridges. This paper starts with a theoretical analysis, using the finite element software LS-DYNA to build a dynamic calculation model of the real bridge and carry out modal and time response analyses. The strength, vulnerable components and stability of the bridge under three-way seismic action at for different earthquake excitation waves (Wenchuan earthquake, Chichi earthquake, Kobe earthquake and El-Centro earthquake) are investigated. Through analysis and comparison of numerical calculations, the seismic performance of the target bridge was comprehensively evaluated.
Keywords
seismic vulnerability analysis, dual-used arch bridge, Wenchuan earthquake, LS-DYNA
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2023 International Conference on Functional Materials and Civil Engineering
- ISBN (Print)
- 978-1-83558-069-1
- ISBN (Online)
- 978-1-83558-070-7
- Published Date
- 07 November 2023
- Series
- Applied and Computational Engineering
- ISSN (Print)
- 2755-2721
- ISSN (Online)
- 2755-273X
- DOI
- 10.54254/2755-2721/24/20230672
- Copyright
- © 2023 The Author(s)
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited