Experimental wavelet analysis of flexural waves in beams

Inoue, Hirotsugu; Kishimoto, Kikuo; Shibuya, Toshikazu

doi:10.1007/bf02318009

Cited by 52 publications

(17 citation statements)

References 13 publications

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“…Here, they restricted their analysis only to beams. Inoue et al [116] experimentally validated the method suggested by Kishimoto et al [115]. In that study, a simply supported beam was impacted with a sphere, and strain gauges were used to measure the strain caused by the flexural waves.…”

Section: Passive Sensing Diagnosticsmentioning

confidence: 96%

Smart structure dynamics

Hurlebaus

Gaul

2006

Mechanical Systems and Signal Processing

204

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Section: Passive Sensing Diagnosticsmentioning

confidence: 96%

Smart structure dynamics

Hurlebaus

Gaul

2006

Mechanical Systems and Signal Processing

204

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“…This characteristic makes Gabor wavelet very suitable for damage detection. Although a Gabor wavelet of G S = 5 (also called Morlet wavelet) is used by a number of researchers [35], lower values of G S may sometimes give better results. Nevertheless, it should not be too low, as then it may breach the admissibility condition [34].…”

Section: Continuous Wavelet Transform (Cwt)mentioning

confidence: 99%

Separation of longitudinal and flexural wave in a cylindrical structure based on sensor arrangement for non-destructive evaluation

Subhani

Samali

2016

J Civil Struct Health Monit

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Low strain integrity testing is commonly used to assess the in situ condition of the poles or piles. For poles, it is important to calculate the embedment length and location of damage which is highly influenced by the accurate determination of the wave velocity. In general, depending on impact location and orientation, both longitudinal and bending waves may generate inside the pole, and these two waves have very distinct characteristics and wave velocity. These differences are even more prominent in the low frequency which is usually induced in the low strain non-destructive testing. Consequently, it will be useful if these two waves can be separated for the condition assessment of the poles. In this paper, a numerical analysis is performed on a pole considering that both waves are generated, and a method is proposed to differentiate these two waves based on an appropriate sensor arrangement that includes the location and the orientation of the sensors. Continuous wavelet transform is applied on the numerical signal to calculate the phase velocity of the waves and compared with analytical phase velocity curves. From the results, it can be seen that appropriate location and orientation of the sensors can separate the longitudinal and flexural waves as they match significantly well with the corresponding analytical phase velocity curves of these two waves.

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“…They demonstrated that the CWT is capable of analysing complex wave-interference patterns, which evolve over wide spectral ranges. Inoue et al [2] applied the CWT to analyse simulated flexural waves in an EulerBernoulli beam. They showed that the Gabor wavelet effectively decomposes the response into its time-frequency components and that the peaks of the time-frequency distribution indicate the arrival times of the waves.…”

Section: Introductionmentioning

confidence: 99%