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author:

Xia, Zhanghua (Xia, Zhanghua.) [1] (Scholars:夏樟华) | Yu, Yingen (Yu, Yingen.) [2] | Xie, Jun (Xie, Jun.) [3] | Lai, Shiyong (Lai, Shiyong.) [4] | Lin, Youqin (Lin, Youqin.) [5] (Scholars:林友勤) | Wang, Zhifeng (Wang, Zhifeng.) [6]

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Abstract:

As the main force component of cable suspending structure, the cable would have the problems of aging and damage in the bridge operation stage. How to quickly identify the damage of the cable is of great significance to ensure the healthy and stable development of the traffic in China. According to different physical quantities, the damage identification methods such as dynamic based damage identification method, static based damage identification method, dynamic and static combined damage identification method were introduced, and the application of intelligent algorithms of neural network and genetic algorithm in cable damage identification were also discussed. Based on analysis on the damage identification methods for the cables, the problems existing in the damage identification of the cable were concluded. According to features of the actual bridge structural forms, such as external prestressed concrete bridges, long-span cable-stayed bridges, suspension bridges and concrete-filled steel tube arch bridges, etc., the corresponding adaptive identification method should be proposed, which will be more targeted and practical. With the development of big data technology, the combination of traditional indicators and intelligent algorithms will be the research development directions for cable damage identification. © Tongji University Press 2024.

Keyword:

Arch bridges Cables Cable stayed bridges Damage detection Genetic algorithms Prestressed concrete Tubular steel structures

Community:

  • [ 1 ] [Xia, Zhanghua]College of Civil Engineering, Fuzhou University, Fujian, Fuzhou; 350116, China
  • [ 2 ] [Yu, Yingen]Fujian Yongzhen Construction Quality Inspection Co., Ltd., Fujian, Fuzhou; 350001, China
  • [ 3 ] [Xie, Jun]College of Civil Engineering, Fuzhou University, Fujian, Fuzhou; 350116, China
  • [ 4 ] [Lai, Shiyong]College of Civil Engineering, Fuzhou University, Fujian, Fuzhou; 350116, China
  • [ 5 ] [Lin, Youqin]College of Civil Engineering, Fuzhou University, Fujian, Fuzhou; 350116, China
  • [ 6 ] [Wang, Zhifeng]College of Civil Engineering, Fuzhou University, Fujian, Fuzhou; 350116, China

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ISSN: 2366-2557

Year: 2024

Volume: 259

Page: 161-175

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 1

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