Structural Engineering and Mechanics

  • 제42권2호
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  • Pages.229-245
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  • 2012
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Estimation of bridge displacement responses using FBG sensors and theoretical mode shapes

  • Shin, Soobong (Department of Civil Engineering, Inha University) ;
  • Lee, Sun-Ung (Department of Civil Engineering, Inha University) ;
  • Kim, Yuhee (Department of Civil Engineering, Inha University) ;
  • Kim, Nam-Sik (Department of Civil and Environmental Engineering, Pusan National University)
  • 투고 : 2011.01.10
  • 심사 : 2012.03.18
  • 발행 : 2012.04.25
⟨ 이전 논문 다음 논문 ⟩

초록

Bridge vibration displacements have been directly measured by LVDTs (Linear Variable Differential Transformers) or laser equipment and have also been indirectly estimated by an algorithm of integrating measured acceleration. However, LVDT measurement cannot be applied for a bridge crossing over a river or channel and the laser technique cannot be applied when the weather condition is poor. Also, double integration of accelerations may cause serious numerical deviation if the initial condition or a regression process is not carefully controlled. This paper presents an algorithm of estimating bridge vibration displacements using vibration strains measured by FBG (Fiber Bragg Grating) sensors and theoretical mode shapes of a simply supported beam. Since theoretically defined mode shapes are applied, even high modes can be used regardless of the quality of the measured data. In the proposed algorithm, the number of theoretical modes is limited by the number of sensors used for a field test to prevent a mathematical rank deficiency from occurring in computing vibration displacements.89The proposed algorithm has been applied to various types of bridges and its efficacy has been verified. The closeness of the estimated vibration displacements to measured ones has been evaluated by computing the correlation coefficient and by comparing FRFs (Frequency Response Functions) and the maximum displacements.

키워드

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  12. Data fusion approaches for structural health monitoring and system identification: Past, present, and future pp.1741-3168, 2018, https://doi.org/10.1177/1475921718798769
  13. A Comparison of Strain-Based Methods for the Evaluation of the Relative Displacement of Beam-Like Structures vol.5, pp.None, 2012, https://doi.org/10.3389/fbuil.2019.00118
  14. Multi-rate data fusion for dynamic displacement measurement of beam-like supertall structures using acceleration and strain sensors vol.19, pp.2, 2012, https://doi.org/10.1177/1475921719857043
  15. Long-term displacement measurement of full-scale bridges using camera ego-motion compensation vol.140, pp.None, 2012, https://doi.org/10.1016/j.ymssp.2020.106651
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