Structural Engineering and Mechanics

  • 제32권4호
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  • Pages.489-500
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  • 2009
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

A comparative analysis of structural damage detection techniques by wavelet, kurtosis and pseudofractal methods

  • Pakrashi, Vikram (Roughan & O'Donovan Consulting Engineers) ;
  • O'Connor, Alan (Department of Civil, Structural and Environmental Engineering, Trinity College Dublin) ;
  • Basu, Biswajit (Department of Civil, Structural and Environmental Engineering, Trinity College Dublin)
  • 투고 : 2008.03.25
  • 심사 : 2009.06.02
  • 발행 : 2009.07.10
⟨ 이전 논문 다음 논문 ⟩

초록

The aim of this paper is to compare wavelet, kurtosis and pseudofractal based techniques for structural health monitoring in the presence of measurement noise. A detailed comparison and assessment of these techniques have been carried out in this paper through numerical experiments for the calibration of damage extent of a simply supported beam with an open crack serving as an illustrative example. The numerical experiments are deemed critical due to limited amount of experimental data available in the field of singularity based detection of damage. A continuous detectibility map has been proposed for comparing various techniques qualitatively. Efficiency surfaces have been constructed for wavelet, kurtosis and pseudofractal based calibration of damage extent as a function of damage location and measurement noise level. Levels of noise have been identified for each technique where a sudden drop of calibration efficiency is observed marking the onset of damage masking regime by measurement noise.

키워드

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피인용 문헌

  1. Performance evaluation of wavelet and curvelet transforms based-damage detection of defect types in plate structures vol.60, pp.4, 2016, https://doi.org/10.12989/sem.2016.60.4.667
  2. Fractal Dimension as an Effective Feature for Characterizing Hard Marine Growth Roughness from Underwater Image Processing in Controlled and Uncontrolled Image Environments vol.9, pp.12, 2009, https://doi.org/10.3390/jmse9121344