中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2026, Vol. 45 ›› Issue (7): 23-31.DOI: 10.3969/j.issn.1674-0696.2026.07.03

• 智慧交通基础设施 • 上一篇    

复杂竖曲线钢桁梁顶推过程支点标高调整方法

丁毅武1,高国城1,彭涛2,黄宇坤1,田仲初2   

  1. (1. 赣州高速公路有限责任公司,江西 赣州 341000; 2. 长沙理工大学 土木与环境工程学院,湖南 长沙 410114)
  • 收稿日期:2025-07-10 修回日期:2026-04-22 发布日期:2026-07-21
  • 作者简介:丁毅武(1983—),男,江西赣州人,高级工程师,主要从事路桥工程施工及管理方面的工作。E-mail:122330595@qq.com 通信作者:田仲初(1963—),男,湖南慈利人,教授,博士,主要从事桥梁结构与施工控制方面的研究。E-mail:382525361@qq.com
  • 基金资助:
    国家自然科学基金项目(52078058);江西省交通运输厅科技项目(2023C0009)

Method for adjusting support point elevation during incremental launching of steel truss girders with complex vertical curves

Ding Yiwu1, Gao Guocheng1, Peng Tao2, Huang Yukun1, Tian Zhongchu2   

  1. (1. Ganzhou Expressway Co., Ltd., Ganzhou 341000, Jiangxi, China; 2. School of Civil and Environmental Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan, China)
  • Received:2025-07-10 Revised:2026-04-22 Published:2026-07-21

摘要: 针对复杂竖曲线钢桁梁顶推施工中支点标高调整问题,提出一种基于改进MOPSO算法的优化方法。首先,以顶推过程中主梁最大Mises应力和支点标高调整次数为优化目标,以导梁及主梁应力在允许范围为约束条件,构建了钢桁梁顶推施工支点标高调整多目标优化模型;其次,采用动态调整惯性权重和学习因子,引入粒子高斯变异及基于拥挤度的外部存档维护策略对基础MOPSO算法进行改进,并验证了改进算法性能;最后,将笔者优化方法应用于赣州螺溪洲大桥顶推施工,以验证其适用性。研究结果表明:通过改进MOPSO算法所得的Pareto解集多样性与收敛性均明显优于基础算法;采用优化方法后,顶推过程中主梁最大Mises应力由原方案的118.762 MPa降至102.650 MPa(减小13.6%),总调整次数由原方案的36次减少为20次(降低44.4%)。笔者优化方法减少了支点标高调整次数,改善了结构受力状态,并提高了顶推施工效率。

关键词: 桥梁工程;钢桁梁;支点标高调整;多目标优化;改进MOPSO算法

Abstract: Aiming at the problem of support elevation adjustment during incremental launching of steel truss girders with complex vertical curves, an optimization method based on the improved MOPSO algorithm was proposed. Firstly, a multi-objective optimization model for support elevation adjustment in steel truss girder incremental launching was established, with the maximum Mises stress in the main girder and the number of support elevation adjustments as optimization objectives, and the stresses of the launching nose and main girder within allowable limits as constraints. Secondly, the basic MOPSO algorithm was improved by dynamically adjusting the inertia weight and learning factors, introducing particle Gaussian mutation, and implementing an external archive maintenance strategy based on crowding; and the performance of the improved algorithm was verified. Finally, the proposed optimization method was applied to the incremental launching of the Luoxizhou Bridge in Ganzhou to validate its applicability. The research results show that the diversity and convergence of the Pareto solution set obtained by the improved MOPSO algorithm are significantly better than those of the basic algorithm. With the optimized method, the maximum Mises stress of the main girder during launching decreases from 118.762 MPa in the original scheme to 102.650 MPa (a reduction of 13.6%), and the total number of adjustments is reduced from 36 to 20 (a decrease of 44.4%). The proposed optimization method effectively reduces the number of support elevation adjustments, improves the structural stress state, and enhances the efficiency of incremental launching construction.

Key words: bridge engineering; steel truss girder; support elevation adjustment; multi-objective optimization; improved MOPSO algorithm

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