土木与环境工程学报（中英文）2024，Vol.46Issue(1)：71-81,11.DOI:10.11835/j.issn.2096-6717.2022.071
基于多种群遗传算法的钢框架结构优化设计
Optimization design of steel frame structure based on multi-population genetic algorithm
摘要
Abstract
The traditional structural design method based on mechanical analysis software has some limitations,such as low efficiency and expert experience reliance.The efficient automatic structural optimization design can be achieved by using intelligent algorithms.However,due to the random search feature,the optimization result and convergence are highly dependent on the parameter settings of the algorithm whose reasonable values need to be determined by the trial-and-error procedure.It results in inefficient optimization and substantial computational cost.Therefore,this paper introduces the multi-population collaboration and information sharing mechanism to improve such problems and its applicability in the structural optimization design is studied.The finite element model of a steel frame is built by MSC.Marc and the equivalent horizontal load from earthquake obtained by base shear method is exerted on the structure.The automatic optimization process is established based on finite element software and the intelligent algorithm with the aim of mininizing the total material cost of the structure.Multiple structural constraints are considered including the inter-story drift ratio,the stress ratio,and the stability and width-thickness ratio of the component.Several strategies are used to improve the performance of the genetic algorithm,such as the fitness scaling,the direction-based crossover operator,the non-uniform mutation operator,the adaptive probability,the elite strategy,the duplicate substitution mechanism,and the constraint-based strategy.Then the multi-population mechanism is introduced to such an algorithm.The results of different algorithms are compared with each other,which shows that the multi-population genetic algorithm can improve the dependence of optimization results on algorithm parameters and the efficiency of structural optimization design.关键词
钢框架结构/结构优化设计/多种群遗传算法/智能算法Key words
steel frame structure/structural optimization design/multi-population genetic algorithm/intelligent algorithms分类
建筑与水利引用本文复制引用
周俊文,刘界鹏..基于多种群遗传算法的钢框架结构优化设计[J].土木与环境工程学报（中英文）,2024,46(1):71-81,11.基金项目
国家自然科学基金(52130801) （52130801）
重庆市博士后研究项目(2021XM2039)National Natural Science Foundation of China(No.52130801) （2021XM2039）
Chongqing Postdoctoral Science Foundation(No.2021XM2039) （No.2021XM2039）
