基于改进粒子群算法的系杆拱桥成桥索力优化

doi:10.3969/j.issn.1674-0696.2022.09.10

重庆交通大学学报（自然科学版） ›› 2022, Vol. 41 ›› Issue (09): 70-75.DOI: 10.3969/j.issn.1674-0696.2022.09.10

基于改进粒子群算法的系杆拱桥成桥索力优化

杨雅勋，张宇航，柴文浩，吴富勇

(长安大学公路学院 ,陕西西安 710064)

收稿日期:2020-12-13 修回日期:2021-06-15 发布日期:2022-09-30
作者简介:杨雅勋（1979—），男，陕西西安人，副教授，博士，主要从事桥梁检测与安全评估等方面的研究。E-mail：47093678@qq.com
基金资助:
国家自然科学基金项目（51878059）

Optimization of Cable Force of a Tied Arch Bridge Based on Improved Particle Swarm Optimization

YANG Yaxun , ZHANG Yuhang, CHAI Wenhao, WU Fuyong

(School of Highway, Changan University, Xian 710064, Shaanxi, China)

Received:2020-12-13 Revised:2021-06-15 Published:2022-09-30

摘要/Abstract

摘要： 为确定系杆拱桥的合理成桥索力，通过对粒子群智能优化算法的惯性权重加以改善从而实现对算法的改进优化，将优化目标结合影响矩阵原理得到调索的目标函数，使用有限元和数值分析软件将算法与目标函数结合从而实现吊杆索力的自动调整，进而使拱桥成桥状态达到受力合理、线形均匀的目的。优化结果表明：将改进后的粒子群算法应用于系杆拱桥的索力求解中，能够达到收敛速度快、索力合理、并使误差落在允许范围内的效果，为实际施工控制中索力计算提供了一种高效的求解方案。

关键词: 桥梁工程；索力调整；改进粒子群算法；影响矩阵；系杆拱桥

Abstract: In order to determine the reasonable cable force of tied arch bridge, the improvement and optimization of the algorithm was realized by improving the inertia weight of particle swarm intelligence optimization algorithm. The objective function of the cable was obtained by combining the optimization objective with the influence matrix principle. Then, the proposed algorithm was combined with the objective function by using the finite element and numerical analysis software to realize the automatic adjustment of the suspender and cable forces, which achieved the purpose of reasonable stress and uniform linear shape of the completed state of the arch bridge. The optimization results show that applying the improved particle swarm optimization algorithm to solve the cable force of tied arch bridge can achieve the effect of fast convergence, reasonable cable force and error within the allowable range. The proposed method provides an efficient solution scheme for cable force calculation in practical construction control.

Key words: bridge engineering; cable force adjustment; improved particle swarm algorithm; influence matrix; tied arch bridg

中图分类号:

U448.22+5

杨雅勋，张宇航，柴文浩，吴富勇. 基于改进粒子群算法的系杆拱桥成桥索力优化[J]. 重庆交通大学学报（自然科学版）, 2022, 41(09): 70-75.

YANG Yaxun , ZHANG Yuhang, CHAI Wenhao, WU Fuyong. Optimization of Cable Force of a Tied Arch Bridge Based on Improved Particle Swarm Optimization[J]. Journal of Chongqing Jiaotong University(Natural Science), 2022, 41(09): 70-75.

参考文献

［1］肖汝城, 项海帆. 斜拉桥索力优化的影响矩阵法［J］. 同济大学学报（自然科学版）, 1998, 26(3): 3-5.
XIAO Rucheng, XIANG Haifang.Influence matrix method of cable tension optimization for lable-stayed bridges［J］. Journal of Tongji University（Natural Science）, 1998, 26(3): 3-5.
［2］肖汝诚, 项海帆. 斜拉桥索力优化及其工程应用［J］. 计算力学学报, 1998, 15(1): 120-128.
XIAO Rucheng, XIANG Haifan. Optimization method of cable pretresses of cable-stayed bridges and its engineering applications［J］. Chinese Journal of Computational Mechanics, 1998, 15(1): 120-128.
［3］梁鹏, 肖汝城, 张雪松. 斜拉桥索力优化实用方法［J］. 同济大学学报(自然科学版), 2003,31(11):1270-1274.
LIANG Peng, XIAO Rucheng, ZHANG Xuesong. Practical method of optimization of cable tensions for cable-stayed bridge［J］. Journal of Tongji University (Natural Science), 2003,31(11):1270-1274.
［4］陈志军, 刘洋, 杨立飞, 等. 基于粒子群优化算法的独塔斜拉桥成桥索力优化［J］. 桥梁建设，2016,46(3):40-44.
CHEN Zhijun, LIU Yang, YANG Lifei, et al. Optimization of stay cable tension of completed bridge of single-pylon cable-stayed bridge based on particle swarm optimization algorithm［J］. Bridge Construction, 2016, 46(3): 40-44.
［5］吴宵, 肖汝城. 基于遗传算法的大跨度混合梁斜拉桥索力优化［J］. 江苏大学学报(自然科学版), 2014, 35(6): 722-726.
WU Xiao, XIAO Rucheng.The long-span hybrid beam oblique pull bridge rope force optimization based on genetic algorithm［J］. Journal of Jiangsu University(Natural Science Edition), 2014, 35(6): 722-726.
［6］ KENNEDY J, EBERHART R. Particle swam optimization［C］∥Proceedings of ICNN95-International Conference on Neural Networks. IEEE, 1995: 1942-1948.
［7］淡丹辉, 杨通. 基于影响矩阵及粒子群算法的斜拉桥自动调索［J］. 同济大学学报(自然科学版), 2013, 41(3): 355-360.
DAN Danhui, YANG Tong.Automatic cable force adjustment for cable stayed bridge based on influence matrix and paricle swarm optimization algorithm［J］. Journal of Tongji University (Natural Science), 2013, 41(3): 355-360.
［8］姜增国，朱标. 基于改进粒子群的非对称斜拉桥成桥索力优化［J］. 公路工程,2018,43(6):117-121.
JIANG Zengguo, ZHU Biao. Cable force optimization of dissymmetric cable-stayed bridge based on improved particle swarm optimization［J］. Highway Engineering, 2018, 43(6): 117-121.
［9］张玉平, 刘雪松, 李传习. 基于MOPSO算法的斜拉桥索力优化分析［J］.土木与环境工程学报,2020,42(2):107-114.
ZHANG Yuping, LIU Xuesong, LI Chuanxi. Optimization of cable tension of cable-stayed bridges based on multi-objective particle swarm optimization algorithm［J］. Journal of Civil and Environmental Engineering, 2020, 42(2): 107-114.
［10］韩江洪, 李正荣, 魏振春. 一种自适应粒子群优化算法及其仿真研究［J］. 系统仿真学报, 2006, 18(10): 2969-2971.
HANG Jianghong, LI Zhengrong, WEI Zhenchun.Adaptive particle swarm optimization algorithm and simulation［J］. Journal of System Simulation, 2006, 18(10): 2969-2971.
［11］ AHMAD N, MOHAMMAD M E, REZA S. A novel particle swarm optimi-zation algorithm with adaptive inertia weight［J］. Applied Soft Computing, 2011, 11(4):3658-3670.
［12］ ZHAN Zhihui, ZHANG Jun, LI Yun, et al. Adaptive particle swarm optimi-zation［J］. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2009, 39(6): 1362-1381.
［13］ VANDENBERGH F, ENGELBRECHT A. A study of particle swarm op-timization particle trajectories［J］. Information Sciences, 2006, 176(8):937-971.

基于改进粒子群算法的系杆拱桥成桥索力优化

Optimization of Cable Force of a Tied Arch Bridge Based on Improved Particle Swarm Optimization

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