计算力学学报2017，Vol.34Issue(3)：303-311,9.DOI:10.7511/jslx201703007
遗传递增演化算法配筋优化设计
Reinforcement layout optimization design using the genetic adding evolutionary structural optimization
摘要
Abstract
The adding evolutionary structural optimization(AESO)started from an initial base,the effective material was gradually added,and the final optimal structural form emerged finally.It worked quickly but easily fell into a local optimal solution.In order to improve the ability to find the global optimal solution,the evolutionary structural optimization (ESO) is combined with the genetic algorithm (GA) in this paper,the genetic adding evolutionary structural optimization (GAESO) is proposed,using the genetic theory of biological evolution in the selection of adding materials.On the nonlinear analysis platform in ANSYS,GAESO was used in the reinforced-concrete separating model to explore the reinforcement layout optimization design of complex-stressed members.The reinforcement layout optimization design was completed intuitively of some deep beams,deep beams with opening and shear walls with opening under the loads and some stress constraints.The results agree with the loading mechanism,the evolving direction is right and the reinforcement layout is arranged clearly.Comparison with the outcome of the genetic evolutionary structural optimization (GESO),the similarity,feasibility,fast-convergence,and the stability of the algorithm were confirmed.The algorithm in this paper can provide a reference to the design of reinforcement in concrete.关键词
递增演化结构算法(AESO)/遗传递增演化算法(GAESO)/非线性分析/复杂应力构件/配筋优化设计Key words
adding evolutionary structural optimization (AESO)/genetic adding evolutionary structural optimization (GAESO)/nonlinear analysis/complex-stress members/reinforcement layout optimization design引用本文复制引用
张望喜,黄星,刘霞..遗传递增演化算法配筋优化设计[J].计算力学学报,2017,34(3):303-311,9.基金项目
国家自然科学基金(51578228) （51578228）
国家重点研发计划专项(2016YFC0701400)资助项目. （2016YFC0701400）
