OPTIMIZATION OF STRUCTURAL MEMBER OF CONCRETE-FILLED STEEL TUBE BASED ON GENETIC ALGORITHM

摘要：

For unnecessary expenses in the design process of CFST (concrete-filled steel tube) structures, GA (genetic algorithm) is used to optimize CFST members. In this paper, optimization models of axial compression members and pure bending members have been established with MATLAB GA toolbox. On the premise of meeting design requirements, effective results have been obtained by means of selecting functions and controlling parameters. GA can be used to CFST members without considering the complicated interaction between steel tube and core-concrete. This optimization method can provide necessary reference for the optimization design in the future.

关键词： CFST member GA MATLAB optimization software optimization

作者: Hua Wei Yun Zhao Xiao-Long Liu Hai-Jun Wang

作者单位: College of Architectural Engineering, ShenYang University of Technology, Shenyang 110178, P.R. China

会议类型: 国际会议

会议名称: 2009年土木工程结构创新与可持续发展国际会议(The International Symposium on Innovation & Sustainability of Structures in Civil Engineering)

会议地点: 广州

会议语种:英文

页码: 757-762

在线出版日期: 2009-11-28（万方平台首次上网日期，不代表论文的发表时间）