Wind and Structures

  • 제20권2호
  • /
  • Pages.315-326
  • /
  • 2015
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  • 1226-6116(pISSN)
  • /
  • 1598-6225(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Multi-point displacement monitoring of bridges using a vision-based approach

  • Ye, X.W. (Department of Civil Engineering, Zhejiang University) ;
  • Yi, Ting-Hua (School of Civil Engineering, Dalian University of Technology) ;
  • Dong, C.Z. (Department of Civil Engineering, Zhejiang University) ;
  • Liu, T. (Department of Civil Engineering, Zhejiang University) ;
  • Bai, H. (Tangram Electronic Engineering Co. Ltd.)
  • 투고 : 2014.10.16
  • 심사 : 2014.12.25
  • 발행 : 2015.02.25
⟨ 이전 논문 다음 논문 ⟩

초록

To overcome the drawbacks of the traditional contact-type sensor for structural displacement measurement, the vision-based technology with the aid of the digital image processing algorithm has received increasing concerns from the community of structural health monitoring (SHM). The advanced vision-based system has been widely used to measure the structural displacement of civil engineering structures due to its overwhelming merits of non-contact, long-distance, and high-resolution. However, seldom currently-available vision-based systems are capable of realizing the synchronous structural displacement measurement for multiple points on the investigated structure. In this paper, the method for vision-based multi-point structural displacement measurement is presented. A series of moving loading experiments on a scale arch bridge model are carried out to validate the accuracy and reliability of the vision-based system for multi-point structural displacement measurement. The structural displacements of five points on the bridge deck are measured by the vision-based system and compared with those obtained by the linear variable differential transformer (LVDT). The comparative study demonstrates that the vision-based system is deemed to be an effective and reliable means for multi-point structural displacement measurement.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundation of China

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