On the continuous wavelet transforms applied to discrete vibrational data for detecting open cracks in damaged beams

Gentile, Angelo; Messina, Arcangelo

doi:10.1016/s0020-7683(02)00548-6

Cited by 147 publications

(128 citation statements)

References 13 publications

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“…The wavelet transform has obvious advantages when trying to detect these features from mode shape data due to its ability to analyze a local portion of a larger signal [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

An investigation into the acceleration response of a damaged beam-type structure to a moving force

González

Hester

2013

Journal of Sound and Vibration

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Publication information Journal of Sound and Vibration, 332 (13): 3201-3217Publisher Elsevier Item record/more information http://hdl.handle.net/10197/6212 Publisher's statementThis is the author's version of a work that was accepted for publication in Journal of Sound and Vibration. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Sound and Vibration (VOL 332, ISSUE 13, (2013) that did not appear in the healthy structure is present in the response of the damaged structure. This paper elucidates from first principles how the acceleration response can be assumed to consist of 'static' and 'dynamic' components, and where the beam has experienced a localised loss in stiffness, an additional 'damage' component. The combination of these components establishes how the damage singularity will appear in the total response.For a given damage severity, the amplitude of the 'damage' component will depend on how close the damage location is to the sensor, and its frequency content will increase with higher velocities of the moving force. The latter has implications for damage detection because if the frequency content of the 'damage' component includes bridge and/or vehicle frequencies, it becomes more difficult to identify damage. The paper illustrates how a thorough understanding of the relationship between the 'static' and 'damage' components contributes *Manuscript Click here to download Manuscript: Manuscript RevC.doc Click here to view linked References 2 to establish if damage has occurred and to provide an estimation of its location and severity.The findings are corroborated using accelerations from a planar finite element simulation model where the effects of force velocity and bridge span are examined.

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“…The wavelet transform has obvious advantages when trying to detect these features from mode shape data due to its ability to analyze a local portion of a larger signal [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

An investigation into the acceleration response of a damaged beam-type structure to a moving force

González

Hester

2013

Journal of Sound and Vibration

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“…However, the success of these techniques is affected by the noise present in experimental data (Gentile, 2003). A new research domain of structural damage is the application Wavelets transform to extract the signal spatial derivatives components.…”

Section: Methods Based On Wavelets Transformmentioning

confidence: 99%

Structural Health Monitoring in Composite Automotive Elements

Lopes¹,

Ribeiro²

2012

New Advances in Vehicular Technology and Automotive Engineering

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“…Hong et al [8] investigated the effectiveness of the continuous wavelet transform (CWT) in terms of its capability to estimate the Lipschitz exponent. Gentile and Messina [9] investigated mode shapes using CWT the position of the open crack in beam structures subjected to transverse vibration. A double-cracked beam was studied by Loutridis et al [10].…”

Section: Introductionmentioning

confidence: 99%

Monitoring breathing cracks of a beam-like bridge subjected to moving vehicle using wavelet spectrum

Nguyen

2013

Vietnam J. Mech.

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Abstract. In this paper a wavelet spectrum technique for monitoring the breathing crack phenomenon of a beam-like bridge subjected to moving vehicle is presented. The stiffness of element with a breathing crack is modeled as a time dependent stiffness matrix using the finite element method. The stiffness matrix of the structure at each moment depends on the curvature of the structure at the crack position. The breathing crack phenomenon can be detected by analysing the instantaneous frequency (IF) of the system using the wavelet spectrum. When the crack depth is large, the crack area might be determined by the significant peak in the IF. The simulation results show that when the crack "breaths" the amplitude of the vibration obtained from the vehicle is smaller than in the case of an open crack. This is a warning when using the amplitude of the dynamic response to estimate the crack depth when there is a breathing crack in the structure. Therefore, it is important to distinguish the open crack and breathing crack to obtain a more accurate estimation of the crack depth. The results showed that crack with a depth as small as 10% of the beam height can be detected by the method. The proposed method can be applied with a noise level up to 10%.

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On the continuous wavelet transforms applied to discrete vibrational data for detecting open cracks in damaged beams

Cited by 147 publications

References 13 publications

An investigation into the acceleration response of a damaged beam-type structure to a moving force

An investigation into the acceleration response of a damaged beam-type structure to a moving force

Structural Health Monitoring in Composite Automotive Elements

Monitoring breathing cracks of a beam-like bridge subjected to moving vehicle using wavelet spectrum

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