现代交通技术2023，Vol.20Issue(6)：72-79,8.
基于粒子群算法的异形斜拉桥成桥索力优化
Cable Force Optimization of Special-shaped Cable-stayed Bridge Based on Particle Swarm Algorithm
邵林海 1赵文剑 1潘若妍 2张雷2
作者信息
- 1. 华汇工程设计集团股份有限公司,绍兴 312099
- 2. 浙江大学建筑工程学院,杭州 310058||公路数智养护浙江省工程研究中心,杭州 310058
- 折叠
摘要
Abstract
The structure of special-shaped cable-stayed bridge is complex,and the stress feature is different from that of con-ventional cable-stayed bridge,so the traditional method of cable force optimization is not applicable or the optimization process is tedious.Particle swarm algorithm can obtain reasonable bridge state efficiently and conveniently,realizing the auto-mation and intelligence of cable force optimization.In order to verify the feasibility of the cable force optimization method com-bined with particle swarm algorithm,a three-dimensional finite element model was established on the background of a special-shaped cable-stayed bridge project with the target of minimum potential energy.A MATLAB program was written with particle swarm algorithm to optimize the cable force at the completion stage of the bridge,and compared with the traditional ca-ble force optimization method.The results show that the traditional cable force optimization method is not applicable to the spe-cial-shaped cable-stayed bridge.The traditional minimum bending energy method which only reduces the stiffness of the main beam and bridge tower cannot get the feasible result.Although adding constrains can get a reasonable state of bridge forma-tion,the operation process is complicated.The cable-force optimization method based on particle swarm optimization can ob-tain the reasonable bridge state by using the cable to a greater extent,and the optimization process is simpler and more effi-cient.关键词
桥梁工程/异形斜拉桥/索力优化/粒子群优化/最小弯曲能量法Key words
bridge engineering/special-shaped cable-stayed bridge/cable force optimization/particle swarm optimization/minimum bending energy method分类
交通工程引用本文复制引用
邵林海,赵文剑,潘若妍,张雷..基于粒子群算法的异形斜拉桥成桥索力优化[J].现代交通技术,2023,20(6):72-79,8.
