Smart Structures and Systems

  • 제24권5호
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  • Pages.649-657
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  • 2019
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR Code

Drift error compensation for vision-based bridge deflection monitoring

  • Tian, Long (School of Science, China University of Geosciences) ;
  • Zhang, Xiaohong (Institute of Solid Mechanics, Beihang University) ;
  • Pan, Bing (Institute of Solid Mechanics, Beihang University)
  • 투고 : 2019.06.05
  • 심사 : 2019.08.23
  • 발행 : 2019.11.25
⟨ 이전 논문 다음 논문 ⟩

초록

Recently, an advanced video deflectometer based on the principle of off-axis digital image correlation was presented and advocated for remote and real-time deflection monitoring of large engineering structures. In engineering practice, measurement accuracy is one of the most important technical indicators of the video deflectometer. However, it has been observed in many outdoor experiments that data drift often presents in the measured deflection-time curves, which is caused by the instability of imaging system and the unavoidable influences of ambient interferences (e.g., ambient light changes, ambient temperature variations as well as ambient vibrations) in non-laboratory conditions. The non-ideal unstable imaging conditions seriously deteriorate the measurement accuracy of the video deflectometer. In this work, to perform high-accuracy deflection monitoring, potential sources for the drift error are analyzed, and a drift error model is established by considering these error sources. Based on this model, a simple, easy-to-implement yet effective reference point compensation method is proposed for real-time removal of the drift error in measured deflections. The practicality and effectiveness of the proposed method are demonstrated by in-situ deflection monitoring of railway and highway bridges.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundation of China

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피인용 문헌

  1. Cost-Effective and Ultraportable Smartphone-Based Vision System for Structural Deflection Monitoring vol.2021, 2019, https://doi.org/10.1155/2021/8843857