摘要
随着我国钢结构建筑比例的不断增长,钢框架结构建筑的比例也在逐年上升,采用传统的设计方式不再适合我国现今高质量发展的要求,因此本文使用新兴的蜣螂优化算法对钢框架结构进行优化。针对蜣螂优化算法在建筑结构优化这种复杂问题中可能会出现收敛速度慢甚至难以收敛的情况,本文提出了使用结构性能指标(k值)控制优化的方法改进蜣螂优化算法,大大加快了蜣螂优化算法在钢框架结构优化时的优化速率,之后加入佳点集法改进蜣螂算法的种群初始化阶段,帮助算法更高效地跳出局部最优解,提高全局寻优能力。本文借助Abaqus有限元分析软件,针对一个三维钢框架结构进行结构优化,优化结果显示相较于初始设计,本文提出的方法可以有效减重1 351.36kg,优化比例达48.37%,该算例证明了本文所提方法在钢框架结构优化方面的高效性和可行性。
With the continuous growth of the proportion of steel structure buildings in China,the proportion of steel frame structure buildings is also increasing year by year.Traditional design methods are no longer suitable for the requirements of high-quality development in China today.Therefore,this article uses the emerging Dung Beetle Optimization Algorithm to optimize steel frame structures.In response to the possibility of slow or even difficult convergence of the Dung Beetle Optimization Algorithm in complex problems such as building structure optimization,this paper proposes a method of using structural performance indicators(k)to control optimization to improve the Dung Beetle Optimization Algorithm.This greatly accelerates the optimization speed of the Dung Beetle Optimization Algorithm in steel frame structure optimization.Then,the best point set method is added to improve the population initialization stage of the Dung Beetle Algorithm,helping the algorithm more efficiently jump out of local optima and improve global optimization ability.This article uses Abaqus finite element analysis software to optimize the structure of a three-dimensional steel frame structure.The optimization results show that compared to the initial design,the proposed method can effectively reduce weight by 1351.36kg,with an optimization ratio of 48.37%.This example demonstrates the efficiency and feasibility of the proposed method in optimizing steel frame structures.
作者
任健浩
曲爽
Ren Jianhao;Qu Shuang(School of Civil Engineering,Shandong jianzhu University,Jinan 250101,China)
出处
《土木建筑工程信息技术》
2025年第2期46-51,共6页
Journal of Information Technology in Civil Engineering and Architecture
基金
教育部产学合作协同育人项(编号:202102600005)
山东省自然科学基金项目(编号:2014ZRBO19XI)。
关键词
改进的蜣螂算法
佳点集
三维钢框架结构
Abaqus有限元
结构优化
Improved Dung Beetle Algorithm
Good Point Set
3D Steel Frame Structure
Abaqus Finite Element Method
Structural Optimization
