Multi-objective optimization of membrane structures based on Pareto Genetic Algorithm

被引:0
|
作者
伞冰冰 [1 ]
孙晓颖 [1 ]
武岳 [1 ]
机构
[1] School of Civil Engineering,Harbin Institute of Technology
基金
中国国家自然科学基金;
关键词
membrane structures; multi-objective optimization; Pareto solutions; multi-objective genetic algorithm;
D O I
暂无
中图分类号
TU383 [织物结构];
学科分类号
081304 ; 081402 ;
摘要
A multi-objective optimization method based on Pareto Genetic Algorithm is presented for shape design of membrane structures from a structural view point.Several non-dimensional variables are defined as optimization variables,which are decision factors of shapes of membrane structures.Three objectives are proposed including maximization of stiffness,maximum uniformity of stress and minimum reaction under external loads.Pareto Multi-objective Genetic Algorithm is introduced to solve the Pareto solutions.Consequently,the dependence of the optimality upon the optimization variables is derived to provide guidelines on how to determine design parameters.Moreover,several examples illustrate the proposed methods and applications.The study shows that the multi-objective optimization method in this paper is feasible and efficient for membrane structures;the research on Pareto solutions can provide explicit and useful guidelines for shape design of membrane structures.
引用
收藏
页码:622 / 630
页数:9
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