兰州理工大学学报2024,Vol.50Issue(4) :142-146.

方钢管混凝土桁架结构优化的拟满内力遗传算法

Imitative full internal force genetic algorithm for structural optimization of concrete-filled square steel tubular truss

谢军 郭飞 郭卫彤 阎杰 王贺贺 杨永竹
兰州理工大学学报2024,Vol.50Issue(4) :142-146.

方钢管混凝土桁架结构优化的拟满内力遗传算法

Imitative full internal force genetic algorithm for structural optimization of concrete-filled square steel tubular truss

谢军 1郭飞 2郭卫彤 2阎杰 2王贺贺 2杨永竹2
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作者信息

  • 1. 河北建筑工程学院土木工程学院,河北张家口 075000;河北省寒冷地区交通基础设施工程技术创新中心,河北张家口 075000
  • 2. 河北建筑工程学院土木工程学院,河北张家口 075000
  • 折叠

摘要

为解决离散变量方钢管混凝土桁架的结构优化问题,以桁架杆件最低总造价为目标函数,采用拟满内力遗传算法对杆件截面进行结构尺寸优化.拟满内力遗传算法引入拟满内力算法作为遗传算子,并将部分初始种群由拟满内力算法产生以增加种群多样性.对传统遗传算法罚函数进行改进,以增强算法的寻优效率.通过两个算例的对比分析,结果表明运用拟满内力遗传算法进行方钢管混凝土桁架结构优化,相对于拟满内力算法和传统遗传算法其造价分别降低了15%、15%、45%、53%.拟满内力遗传算法进行方钢管混凝土桁架结构优化的是有效、可行的.

Abstract

To address the structural optimization problem of concrete-filled square steel tubular truss with discrete variables,the imitative full internal force genetic algorithm was used to optimize the structural size of the member section aimed at minimizing the total cost of truss member.The imitative full internal force algorithm was introduced into the imitative full internal force genetic algorithm as an operator,and some initial populations were generated by the imitative full internal force algorithm to increase population diversity.Meanwhile,the penalty function of the traditional genetic algorithm was improved to enhance the optimization efficiency of the algorithm.Comparative analysis of two case studies demonstrates that the cost of the square steel tube concrete truss structure is reduced by 15%,15%and 45%,53%respec-tively by using the imitative full internal force genetic algorithm compared with the imitative full internal force algorithm and the traditional genetic algorithm.It is effective and feasible of the imitative full inter-nal force genetic algorithm for optimizing the concrete-filled square steel tubular truss.

关键词

方钢管混凝土/桁架/拟满内力算法/结构优化/混合遗传算法

Key words

concrete-filled square steel tubular/truss/imitative full internal force algorithm/structural optimization/hybrid genetic algorithm

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基金项目

河北省自然基金(E2018404047)

张家口市科技重点研发计划"碳达峰、碳中和"创新专项(2322145D)

出版年

2024
兰州理工大学学报
兰州理工大学

兰州理工大学学报

CSTPCD北大核心
影响因子:0.57
ISSN:1673-5196
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