摘要
针对目前“500吨”级桥梁三角挂篮结构优化问题,以重庆高家花园复线桥的三角挂篮为对象,应用结构力学力法推导挂篮各构件应力、形变简化计算公式,建立了挂篮设计参数的数学优化模型,并使用遗传算法实现挂篮最小用钢量的优化求解。通过优化分析,使原挂篮在满足受力要求的情况下用钢量减少32%。研究发现:使用数学优化模型方法可以高效、可靠地求解得到三角挂篮主桁架各构件的力学效应;三角挂篮主桁各构件工作应力不高,挂篮整体变形是控制设计的主要技术指标;前吊带刚度对挂篮整体变形影响显著,在不增加施工难度的前提下使用钢板或开孔钢板制作前吊带,可以减少主桁架的用钢量并最大限度地降低挂篮整体变形。
In order to optimize the form traveler structure at 500-ton level,the triangle form traveler used in the Chongqing Gaojia Garden Double-line Bridge was taken as an example,and a simplified calculating method was introduced to determine the stress and deformation of structural elements in form traveler.These simplified formulas were adopted to establish a mathematical optimization model for design parameters of triangle form traveler,which could be used to minimize the usage amount of steel by optimization analysis based on genetic algorithm.The optimization results show that the usage amount of steel of original scheme of Gaojia Garden Bridge may decrease by 32%without bearing and service performance degrading seriously.The results show that this proposed mathematical optimization model method can be used to get the mechanical effects of the primary truss efficiently and reliably.Besides,global deformation is the critical factor for from traveler design,but the service stress in primary truss is relatively low.Especially,front slings make a great contribution to from traveler stiffness,hence it is desirable to use steel plate or the perforated steel plate as front slings to simultaneously decrease the global deformation of form traveler.
作者
程皓
郭增伟
向中富
CHENG Hao;GUO Zengwei;XIANG Zhongfu(School of Civil Engineering,Chongqing Jiaotong University,Chongqing 400074,China)
出处
《结构工程师》
北大核心
2020年第4期210-217,共8页
Structural Engineers
基金
国家自然科学基金(51878106)
重庆市自然科学基金面上项目(cstc2019jcyj-msxmX0818)
重庆市人工智能技术创新重大主题专项重点研发项目(cstc2017rgzn-zdyfX0029)。
关键词
三角挂篮
主桁架
优化分析
目标函数
遗传算法
triangle form traveler
the primary truss
optimization analysis
objective function
genetic algorithm
作者简介
联系作者:程皓(1997-),男,在读硕士,主要从事桥梁振动及控制、长期性能方面研究。E-mail:15683812417@163.com。