Fiber Finite Element Analysis on Seismic Performance of Segment-Assembled CFST Bridge

Depeng Wang; Yikang Li; Chen Zhang; Dan Zhang; Yafei Zhang

doi:10.2991/978-94-6463-728-1_17

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Fiber Finite Element Analysis on Seismic Performance of Segment-Assembled CFST Bridge

Authors

Depeng Wang¹, Yikang Li², Chen Zhang³, Dan Zhang⁴^{, *}, Yafei Zhang⁵^{, 6}

¹Xingrun Construction Group Co., LTD, Shandong, Feicheng, 271600, China

²China Construction Sixth Engineering Bureau Corp., Ltd, Tianjin, 300012, China

³State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Liaoning, Dalian, 116024, China

⁴School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin, 300401, China

⁵School of Civil Engineering, Tianjin University, Tianjin, 300350, China

⁶School of Engineering & Built Environment, Griffith University, Gold Coast Campus, Southport, QLD, 4222, Australia

^*Corresponding author. Email: zd951767323@tju.edu.cn

Corresponding Author

Dan Zhang

Available Online 19 May 2025.

DOI: 10.2991/978-94-6463-728-1_17 How to use a DOI?
Keywords: Self-centering bridge; Fiber finite element; Seismic performance
Abstract: In recent years, the segmental self-centering bridge structure has emerged as a prominent research area in the field of bridge engineering due to its exceptional seismic performance and recoverability. This study establishes a fiber finite element model based on vibration table tests conducted on a segmental self-centerting concrete-filled steel tube (CFST) bridge. Then, the accuracy of the finite element model is verified by comparing the superstructure response and peak seismic acceleration obtained from finite element model simulation and vibration table test. Furthermore, enabling an analysis of its seismic behavior and response under large intense ground motion. The findings demonstrate that even when subjected to 60% amplitude ground motion, the segment-assembled self-resetting concrete-filled steel tube bridge maintains excellent seismic performance and recoverability with a minimal residual displacement ratio of only 0.67%.The lateral force-displacement hysteretic curve of the segmental self-centering CFST bridge shows a spindle shape, which can reflect its strong plastic deformation and energy consumption capacity in the high seismic fortification-resistant area.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 3rd International Conference on Green Building, Civil Engineering and Smart City (GBCESC 2024)
Series: Advances in Engineering Research
Publication Date: 19 May 2025
ISBN: 978-94-6463-728-1
ISSN: 2352-5401
DOI: 10.2991/978-94-6463-728-1_17 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Depeng Wang
AU  - Yikang Li
AU  - Chen Zhang
AU  - Dan Zhang
AU  - Yafei Zhang
PY  - 2025
DA  - 2025/05/19
TI  - Fiber Finite Element Analysis on Seismic Performance of Segment-Assembled CFST Bridge
BT  - Proceedings of the 3rd International Conference on Green Building, Civil Engineering and Smart City (GBCESC 2024)
PB  - Atlantis Press
SP  - 144
EP  - 154
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-728-1_17
DO  - 10.2991/978-94-6463-728-1_17
ID  - Wang2025
ER  -

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