Analysis of a Cable Stayed Bridge Using FEM Based Approach and Its Validation Using AI Algorithm

DOI

10.2991/978-94-6463-852-3_22How to use a DOI?

Keywords

Cable stayed bridge; TMD; Seismic Fragility Analysis; STAAD PRO; artificial intelligence; AI in civil engineering

Abstract

This paper explores the dynamic response of a cable-stayed bridge with a 500-m main span, focusing on the role of tuned mass dampers (TMDs) in controlling vibrations caused by wind, traffic, and seismic loads. By conducting a dynamic analysis, including time-history and modal studies, the natural frequencies and behavior of the bridge are evaluated, with an emphasis on improving performance through the use of TMDs. The fan-pattern cable and A-shaped pylons on the bridge expose it to dynamic challenges. The results indicate that at 0.1 Hz the first bending mode of the bridge appears, therefore the bridge responds sensitively to lateral sway induced by wind and seismic excitations. The introduction of TMDs, which specifically address this low-frequency mode, reduces vibration amplitudes by approximately 30%. That reduction is significant; it translates to greater comfort for users and contributes towards sturdier bridge construction. For seismic loading, with a peak ground acceleration of 0.3g, the maximum displacement at midspan reaches 1.2 m, while the pylons shift horizontally by 0.4 m. The low predicted likelihood of damage under moderate earthquake conditions is further confirmed through seismic fragility analysis of the bridge with a 65% confidence that significant damage would not occur. Finally, the calculated stresses in the cables are shown to be safely below these levels, with a fatigue life exceeding 100 years. The authors conclude that TMDs are effective in improving the dynamic response and serviceability of the bridge, and thus more reliable in service. It is possible for future works to optimize damper systems to obtain even higher efficiency.

Copyright

© 2025 The Author(s)

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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TY  - CONF
AU  - Inamdar Zakeer Ahamed Kadir Ahamed
AU  - Rajendra B. Magar
PY  - 2025
DA  - 2025/10/07
TI  - Analysis of a Cable Stayed Bridge Using FEM Based Approach and Its Validation Using AI Algorithm
BT  - Proceedings of the MULTINOVA: First International Conference on Artificial Intelligence in Engineering, Healthcare and Sciences (ICAIEHS- 2025)
PB  - Atlantis Press
SP  - 347
EP  - 364
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-852-3_22
DO  - 10.2991/978-94-6463-852-3_22
ID  - Ahamed2025
ER  -