Cable optimization of a cable-stayed bridge based on genetic algorithms and the influence matrix method

被引:31
作者
Feng, Yue [1 ,2 ]
Lan, Cheng [3 ]
Briseghella, Bruno [4 ]
Fenu, Luigi [5 ]
Zordan, Tobia [3 ]
机构
[1] Hainan Univ, Dept Civil Engn & Architecture, Haikou, Hainan, Peoples R China
[2] Lehigh Univ, ATLSS Engn Res Ctr, Dept Civil & Environm Engn, Bethlehem, PA USA
[3] BOLINA Consultant Engn Ltd, Venice, Italy
[4] Fuzhou Univ, Coll Civil Engn, Fuzhou, Peoples R China
[5] Univ Cagliari, Dept Civil Engn Environm Engn & Architecture, Cagliari, Italy
关键词
Structural optimization; cross-sectional area; pre-tension forces; genetic algorithm; influence matrix method; FORCES; DESIGN; SHAPE;
D O I
10.1080/0305215X.2020.1850709
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Structural optimization is an important tool for structural designers that helps them to find innovative design solutions and structural forms with a better exploitation of materials as well as decreased self-weight and minimum material costs. In this article, a design procedure coupling the influence matrix method and genetic algorithms to optimize stay cables in cable-stayed bridges is presented. Following that, the design procedure is utilized in the preliminary design of a twin towers double-cable planes cable-stayed bridge to be located in Ferrara, Italy. The cable cross-sectional areas and corresponding pre-tension forces are optimized simultaneously. The results demonstrate that the proposed procedure is a powerful tool for designing stay cables and predicting the optimum cross-sectional areas of stay cables under certain stress and displacement constraints.
引用
收藏
页码:20 / 39
页数:20
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