Cable optimization of a cable-stayed bridge based on genetic algorithms and the influence matrix method. Issue 1 (2nd January 2022)

• Record Type: Journal Article
• Authors: Feng, Yue; Lan, Cheng; Briseghella, Bruno; Fenu, Luigi; Zordan, Tobia
• Is Part Of: Engineering optimization. Volume 54:Issue 1(2022)
• Page Start: 20
• Page End: 39
• Publication Date: 2022-01-02
• Subjects: Structural optimization -- cross-sectional area -- pre-tension forces -- genetic algorithm -- influence matrix method; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2020.1850709
• Languages: English
• ISSNs: 0305-215X

Abstract

Abstract : 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.