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Author:

Liu, Ying-Chun (Liu, Ying-Chun.) | Xue, Su-Duo (Xue, Su-Duo.) (Scholars:薛素铎) | Li, Xiong-Yan (Li, Xiong-Yan.)

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EI Scopus PKU CSCD

Abstract:

Mathematical model is usually established for optimization of cable tension by influence matrix method or unit load method now, without regard to mutual effect between adjusted cable-forces. Aimed at their shortcomings, double influence matrix method for optimization of cable tension is put forward and theoretical derivation is made in this paper. Minimum bending strain energy of arch ribs is considered as optimum object by means of two influence matrixes in this method. Without iterative calculation, exact cable forces could be obtained using this method immediately. Finally, taking a deck type arch bridge with diagonal cable as an example, optimization calculation of cable tension is conducted separately using three different kinds of method in this paper. The research result shows that double influence matrix method has the characteristic of fast operating speed and high precision.

Keyword:

Arches Cable stayed bridges Arch bridges Strain energy Iterative methods Bridge cables

Author Community:

  • [ 1 ] [Liu, Ying-Chun]Key Laboratory of Urban Security and Disaster Engineering of the Ministry of Education, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Liu, Ying-Chun]School of Civil Engineering and Architecture, East China Jiaotong University, Nanchang 330013, China
  • [ 3 ] [Xue, Su-Duo]Key Laboratory of Urban Security and Disaster Engineering of the Ministry of Education, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Li, Xiong-Yan]Key Laboratory of Urban Security and Disaster Engineering of the Ministry of Education, Beijing University of Technology, Beijing 100124, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2011

Issue: 9

Volume: 37

Page: 1343-1347

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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