何政

个人信息Personal Information

教授

博士生导师

硕士生导师

主要任职:Professor

性别:男

毕业院校:哈尔滨工业大学

学位:博士

所在单位:土木工程系

学科:结构工程. 工程力学

办公地点:大连理工大学综合实验4号楼312室

联系方式:hezheng@dlut.edu.cn

电子邮箱:hezheng@dlut.edu.cn

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Performance-based multi-objective collaborative optimization of steel frames with fuse-oriented buckling-restrained braces

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论文类型:期刊论文

发表时间:2020-01-01

发表刊物:STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

收录刊物:EI、SCIE

卷号:61

期号:1

页面范围:365-379

ISSN号:1615-147X

关键字:Collaborative optimization; BRBF; NSGA-II; Energy dissipation ratio; Performance-based seismic design; Hybrid coding

摘要:A multi-objective collaborative optimal design procedure for steel frames equipped with buckling-restrained braces (BRBs) is proposed under the framework of performance-based seismic design (PBSD) in order to minimize the damage of the primary structure as well as the material cost. For this purpose, a so-called BRB energy dissipation ratio is defined and introduced in the optimization to characterize the involvement of fuse-type BRBs in hysteretic energy dissipation in building stories. Three groups of constraints obtained from the rules on geometrical and conceptual design, the requirements regarding strength and stability, and the PBSD-based story drift limits are considered. To address the discrete-continuous hybrid design variables, a hybrid coding scheme is proposed to modify the non-dominated sorting genetic algorithm II (NSGA-II). The rationality of the proposed procedure is demonstrated by a case study on a seven-story planar steel frame with BRBs. The demonstration indicates that the proposed optimization procedure can make BRBs play the role of a structural fuse successfully in steel frames. The BRB energy dissipation ratios of case C are distributed nearly uniformly along the structural height. The weak-beam-strong-column design principle can be satisfactorily achieved through the maximization of the story BRB energy dissipation ratios. Additionally, the modified hybrid coding NSGA-II algorithm is computationally efficient and stable.