2011
DOI: 10.1016/j.compstruc.2010.08.008
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Detection of cracks in simply-supported beams by continuous wavelet transform of reconstructed modal data

Abstract: This paper proposes a new approach for damage detection in beam-like structures with small cracks, whose crack ratio [r = Hc/H] is less than 5%, without baseline modal parameters. The approach is based on the difference of the continuous wavelet transforms (CWTs) of two sets of mode shape data which correspond to the left half and the right half of the modal data of a cracked simply-supported beam. The mode shape data of a cracked beam are apparently smooth curves, but actually exhibit local peaks or discontin… Show more

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Cited by 75 publications
(45 citation statements)
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References 29 publications
(29 reference statements)
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“…Single and two edge cracks were evaluated. Zong and Oyadiji [8] proposed a new approach for damage detection in beam-like structures with small cracks without baseline modal parameters. Jiang et al [9] stated a new method for crack detection in beams using the slop of mode shape.…”
Section: Introductionmentioning
confidence: 99%
“…Single and two edge cracks were evaluated. Zong and Oyadiji [8] proposed a new approach for damage detection in beam-like structures with small cracks without baseline modal parameters. Jiang et al [9] stated a new method for crack detection in beams using the slop of mode shape.…”
Section: Introductionmentioning
confidence: 99%
“…Kim and Sohn [137] developed a guided-wave-based nondestructive testing to detect crack damage in a thin metal structure without using prior baseline data. Zhong and Oyadiji [138,139] presented a crack detection method based on finding the difference between two sets of detail coefficients obtained by using the wavelet transform of two sets of mode shape data of a cracked beam. Rucevskis et al [140] described a method that requires only the mode shape curvature data of the damaged plate-like structures, in which the damage index is defined as the absolute difference between the measured curvature of the damaged structure and the smoothed polynomial representing the curvature of the healthy structure.…”
Section: Mapping Model and Meta-modelmentioning
confidence: 99%
“…In the last few decades, many damage identification methods have been developed using the vibration data in frequency domain [1][2][3][4]. Moreover, with the advantage of massive vibration data, methods in time domain [5][6][7][8] emerged serve as a more reliable but complicated aspect in damage identification.…”
Section: Introductionmentioning
confidence: 99%