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.

Cable optimization of a cable-stayed bridge based on genetic algorithms and the influence matrix method / Feng, Y.; Lan, C.; Briseghella, B.; Fenu, L.; Zordan, T.. - In: ENGINEERING OPTIMIZATION. - ISSN 0305-215X. - 54:1(2022), pp. 20-39. [10.1080/0305215X.2020.1850709]

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

Briseghella B.;
2022

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.
2022
54
1
20
39
Cable optimization of a cable-stayed bridge based on genetic algorithms and the influence matrix method / Feng, Y.; Lan, C.; Briseghella, B.; Fenu, L.; Zordan, T.. - In: ENGINEERING OPTIMIZATION. - ISSN 0305-215X. - 54:1(2022), pp. 20-39. [10.1080/0305215X.2020.1850709]
Feng, Y.; Lan, C.; Briseghella, B.; Fenu, L.; Zordan, T.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1287331
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