Comparative Assessment of Cable Force Optimization Methods for Asymmetric Cable-Stayed Bridges
- DOI
- 10.2991/978-94-6463-726-7_26How to use a DOI?
- Keywords
- Cable-stayed bridges; post-tensioning; cable forces; structural optimization
- Abstract
Cable-stayed bridges have received extensive applications due to their superior structural efficiency for large spans and excellent aesthetic benefits. A well-optimized set of cable forces are critical for achieving the desired structural responses of a completed cable-stayed bridge under the specified loading conditions. In this study, the cable forces of an asymmetric cable-stayed bridge currently under construction are optimized and compared using genetic algorithms (GA) and particle swarm optimization (PSO) methods. The numerical model of the bridge is implemented in OpenSees in consideration of the cable sag effect and geometric nonlinearity. The strain energy-based and displacement-based objective functions are employed for the cable force optimization. Comparison of the results indicates that the PSO method tends to provide more reasonable force and displacement responses of the bridge at the expense of increased computational costs.
- 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.
Cite this article
TY - CONF AU - Yinzhi Zeng AU - Wenjie Li AU - Shiwei Zhao AU - Xiang Wang AU - Jian Wang AU - Jiankun Liu PY - 2025 DA - 2025/06/13 TI - Comparative Assessment of Cable Force Optimization Methods for Asymmetric Cable-Stayed Bridges BT - Proceedings of the 2024 6th International Conference on Hydraulic, Civil and Construction Engineering (HCCE 2024) PB - Atlantis Press SP - 257 EP - 265 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-726-7_26 DO - 10.2991/978-94-6463-726-7_26 ID - Zeng2025 ER -