Multimode-based evaluation of cable tension force in cable-supported bridges

G. Zheng, J. M. Ko, Yiqing Ni

Research output: Journal article publicationConference articleAcademic researchpeer-review

13 Citations (Scopus)

Abstract

For the purpose of developing a precise parameter identification procedure for bridge cables using measured multiple-mode parameters, a systematic investigation on the modal properties of cables is first carded out by using a three-dimensional finite element formulation taking into account the cable flexural rigidity, sag-extensibility, and non-constant dynamic tension force. The dimensionless frequencies are evaluated for free vibration of cables with their parameters lying in a wide range covering most of the cables in existing cable-supported bridges. The relation surfaces between the dimensionless frequencies and structural parameters are obtained for both lower and higher modes. Based on the systematic analysis of cable modal properties, a nonlinear least-squares method is then adopted to evaluate cable tension force by use of measured multiple-mode frequencies. The statistical processing method of identified cable tension forces under different noise levels is addressed. The importance and effect of specific high-order frequencies on the identification accuracy are discussed. It is expected that after some further extension, the proposed procedure can serve as a tool for evaluating cable tension force with high accuracy and reliability.
Original languageEnglish
Pages (from-to)511-522
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4330
DOIs
Publication statusPublished - 1 Jan 2001
EventSmart Systems for Bridges, Structures, and Highways-Smart Structures and Materials 2001- - Newport Beach, CA, United States
Duration: 5 Mar 20017 Mar 2001

Keywords

  • Bridge cable
  • Multimode approach
  • Parameter identification
  • Tension force evaluation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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