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author:

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

Indexed by:

EI SCIE

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.

Keyword:

cross-sectional area genetic algorithm influence matrix method pre-tension forces Structural optimization

Community:

  • [ 1 ] [Feng, Yue]Hainan Univ, Dept Civil Engn & Architecture, Haikou, Hainan, Peoples R China
  • [ 2 ] [Feng, Yue]Lehigh Univ, ATLSS Engn Res Ctr, Dept Civil & Environm Engn, Bethlehem, PA USA
  • [ 3 ] [Lan, Cheng]BOLINA Consultant Engn Ltd, Venice, Italy
  • [ 4 ] [Zordan, Tobia]BOLINA Consultant Engn Ltd, Venice, Italy
  • [ 5 ] [Briseghella, Bruno]Fuzhou Univ, Coll Civil Engn, Fuzhou, Peoples R China
  • [ 6 ] [Fenu, Luigi]Univ Cagliari, Dept Civil Engn Environm Engn & Architecture, Cagliari, Italy

Reprint 's Address:

  • [Lan, Cheng]BOLINA Consultant Engn Ltd, Venice, Italy

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Source :

ENGINEERING OPTIMIZATION

ISSN: 0305-215X

Year: 2020

Issue: 1

Volume: 54

Page: 20-39

3 . 2 3

JCR@2020

2 . 2 0 0

JCR@2023

ESI Discipline: ENGINEERING;

ESI HC Threshold:132

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 18

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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