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author:

Feng, Yue (Feng, Yue.) [1] | Lan, Cheng (Lan, Cheng.) [2] | Briseghella, Bruno (Briseghella, Bruno.) [3] | Fenu, Luigi (Fenu, Luigi.) [4] | Zordan, Tobia (Zordan, Tobia.) [5]

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EI

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. © 2020 Informa UK Limited, trading as Taylor & Francis Group.

Keyword:

Bridge cables Cable stayed bridges Genetic algorithms Structural optimization

Community:

  • [ 1 ] [Feng, Yue]Department of Civil Engineering and Architecture, Hainan University, Hainan, China
  • [ 2 ] [Feng, Yue]Department of Civil and Environmental Engineering, ATLSS Engineering Research Center, Lehigh University, Bethlehem, United States
  • [ 3 ] [Lan, Cheng]BOLINA Consultant Engineering Ltd., Venice, Italy
  • [ 4 ] [Briseghella, Bruno]College of Civil Engineering, Fuzhou University, Fuzhou, China
  • [ 5 ] [Fenu, Luigi]Department of Civil Engineering, Environment Engineering, and Architecture, The University of Cagliari, Cagliari, Italy
  • [ 6 ] [Zordan, Tobia]BOLINA Consultant Engineering Ltd., Venice, Italy

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Source :

Engineering Optimization

ISSN: 0305-215X

Year: 2022

Issue: 1

Volume: 54

Page: 20-39

2 . 7

JCR@2022

2 . 2 0 0

JCR@2023

ESI HC Threshold:66

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 20

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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