基于层次分析OC-GA算法的钢骨混凝土框架柱优化设计
doi: 10.13204/j.gyjz201501034
ANALYTIC HIERARCHY PROCESS-BASED OC-GA ALGORITHM FOR THE OPTIMIZATION OF SRC FRAME COLUMN
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摘要: 在工程结构优化理论的基础上,将钢骨混凝土框架柱的工程造价最小化和斜截面抗剪承载力最大化定为优化目标。根据型钢混凝土的受力特性,在多遇烈度地震下,应用最优性准则K-T条件对钢骨混凝土构件的混凝土截面尺寸进行优化设计;在基本烈度地震下应用层次分析遗传(GA)算法对钢骨混凝土构件中的型钢进行优化设计,从而建立层次分析OC-GA算法。综合考虑各种约束条件,运用层次分析OC-GA算法实施钢骨混凝土框架柱的优化设计,并通过优化设计实例证实所采用优化方法和设计思路的有效性和可行性。Abstract: Based on structural engineering optimization theory of composite structure,the minimum project cost and the maximum diagonal shear capacity were taken as the optimization objectives. According to the mechanical characteristics of the steel reinforced concrete,the concrete sectional sizes of the SRC member were optimized with application of optimality criteria K-T conditions under minor earthquakes,and the optimization of steel volume was implemented under moderate earthquake with application of hierarchy process genetic algorithm,thus,the analytic hierarchy process optimization criterion genetic algorithm ( OC-GA) was established. Considering the related design specifications and constraints,the SRC frame column was optimized by analytic hierarchy process OC-GA,and the optimization method and thought were proved by engineering example.
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