Research on Cable Force Optimization of Long-Span Cable-Stayed Bridges Based on RBFNN+Improved Parti cle Swarm Optimization Algorithm

Authors

DENG Da, Southwest Section Branch of Ring Road, Hunan Investment Group Co ., Ltd., Changsha, Hunan 410000, ChinaFollow
HE Bowen, CCCC Second Highway Consultants Co ., Ltd., Wuhan, Hubei 430000, China
LIU Guokun, School of Architecture and Engineering, Hunan Institute of Engineering, Xiangtan, Hunan 411100, ChinaFollow

Corresponding Author

刘国坤, 男, 博士, 副教授. E-mail: 1425541054@qq.com

Abstract

In view of the cable force optimization problem of long-span cable-stayed bridges,a cable force optimization method considering the reliability index of stay cables was proposed based on the response surface fitted by the radial basis function neural network (RBFNN ).The RBFNN-based response surface model for solving the reliability index was established by fitting the structural implicit function through RBFNN training.The improved particle swarm optimization algorithm was used to search for the optimal solution of the cable force optimization model considering the reliability index.The research results show that RBFNN can accurately predict the structural responses and fit the structural implicit performance function,and the average fitting error of 20 test sets is only 3.25%.Compared with the standard particle swarm optimization algorithm,the improved particle swarm optimization algorithm has better adaptability to cable force optimization problems.The improved algorithm has higher convergence accuracy and faster convergence speed;the overall cable force distribution trend after optimization is roughly the same as the original one;the reliability index of stay cables at the midspan position calculated by using the optimized cable force is significantly improved.The average reliability increase of each stay cable has increased by about 3%;the main beam alignment is greatly improved,and the maximum deflection reduction amplitude is as high as 36%.

Publication Date

12-24-2025

DOI

10.14048/j.issn.1671-2579.2025.06.021

First Page

180

Last Page

188

Submission Date

December 2025

Recommended Citation

Da, DENG; Bowen, HE; and Guokun, LIU (2025) "Research on Cable Force Optimization of Long-Span Cable-Stayed Bridges Based on RBFNN+Improved Parti cle Swarm Optimization Algorithm," Journal of China & Foreign Highway: Vol. 45: Iss. 6, Article 21.
DOI: 10.14048/j.issn.1671-2579.2025.06.021
Available at: https://zwgl1980.csust.edu.cn/journal/vol45/iss6/21

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