Cable Force Determination Using Phase-Based Video Motion Magnification and Digital Image Correlation

Wenbing Chen, Banfu Yan, Jingbo Liao, Lei Luo, You Dong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

The mode shape-aided method provides a simple and effective way for cable force determination, which, however, requires accurate parameter identification of the cable structure. This paper proposes a phase-based video motion magnification to process the image sequences of a cable. Digital image correlations were engaged to measure the dynamic displacement-time history, through tracking the surface characteristic features of the cable. Thereafter, a frequency-domain decomposition technique was applied to extract the natural frequency and mode shape of the cable from the displacement-time history measurements. The identified cable mode shapes, along with a tensioned pinned-pinned cable model, were used to estimate the cable force. The accuracy of the proposed methodology was subsequently verified through laboratory testing on an inclined cable model and field testing on a typical hanger cable of a real-world arch bridge. Overall, the study results indicated that the proposed methodology could expediently and cost-effectively estimate the tension forces of a cable with reasonably acceptable identification accuracy.

Original languageEnglish
Article number2250036
JournalInternational Journal of Structural Stability and Dynamics
Volume22
Issue number7
DOIs
Publication statusPublished - 15 Jun 2022

Keywords

  • Cable force
  • digital image correlation
  • mode shape
  • video motion magnification

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Aerospace Engineering
  • Ocean Engineering
  • Mechanical Engineering
  • Applied Mathematics

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