Multi-cracks detection of a beam-like structure based on the on-vehicle vibration signal and wavelet analysis

In this paper, a new method for detecting a multi-cracked beam-like structure subjected to a moving vehicle is presented. The crack model is adopted from fracture mechanics. The dynamic response of the bridge–vehicle system is measured directly from the moving vehicle. When moving along the structur...

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Published inJournal of sound and vibration Vol. 329; no. 21; pp. 4455 - 4465
Main Authors Nguyen, Khoa Viet, Tran, Hai Thanh
Format Journal Article
LanguageEnglish
Published Kidlington Elsevier Ltd 11.10.2010
Elsevier
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Abstract In this paper, a new method for detecting a multi-cracked beam-like structure subjected to a moving vehicle is presented. The crack model is adopted from fracture mechanics. The dynamic response of the bridge–vehicle system is measured directly from the moving vehicle. When moving along the structure, the moving vehicle causes small distortions in the dynamic response of the bridge–vehicle system at the crack locations. In general, these small distortions are difficult to detect visually. However, wavelet transform has recently emerged to be an effective method of detecting such small distortions. Large values (peaks) in the wavelet transform indicate the existence of the cracks. The locations of the cracks are pinpointed by positions of peaks of the wavelet transform and the velocity of the moving vehicle. Numerical results show that the method can detect cracks as small as 10% of the beam height. The proposed method is applicable for low velocity-movements while high velocity-movements are not recommended. The method presents an idea for measuring the vibration directly from the vehicle for crack detection problem in practice.
AbstractList In this paper, a new method for detecting a multi-cracked beam-like structure subjected to a moving vehicle is presented. The crack model is adopted from fracture mechanics. The dynamic response of the bridge-vehicle system is measured directly from the moving vehicle. When moving along the structure, the moving vehicle causes small distortions in the dynamic response of the bridge-vehicle system at the crack locations. In general, these small distortions are difficult to detect visually. However, wavelet transform has recently emerged to be an effective method of detecting such small distortions. Large values (peaks) in the wavelet transform indicate the existence of the cracks. The locations of the cracks are pinpointed by positions of peaks of the wavelet transform and the velocity of the moving vehicle. Numerical results show that the method can detect cracks as small as 10% of the beam height. The proposed method is applicable for low velocity-movements while high velocity-movements are not recommended. The method presents an idea for measuring the vibration directly from the vehicle for crack detection problem in practice.
Author Nguyen, Khoa Viet
Tran, Hai Thanh
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Issue 21
Keywords Crack array
Motor car
Vibration
Rupture
Crack detection
Modeling
Bridges
Short crack
Wavelet transformation
Moving load
High speed
Signal processing
Signal analysis
Structural analysis
Cracked beam
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Snippet In this paper, a new method for detecting a multi-cracked beam-like structure subjected to a moving vehicle is presented. The crack model is adopted from...
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SubjectTerms Distortion
Dynamical systems
Exact sciences and technology
Flaw detection
Fracture mechanics
Fracture mechanics (crack, fatigue, damage...)
Fundamental areas of phenomenology (including applications)
Mathematical models
Measurement and testing methods
Physics
Solid mechanics
Static elasticity (thermoelasticity...)
Structural and continuum mechanics
Vehicles
Vibration
Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...)
Wavelet transforms
Title Multi-cracks detection of a beam-like structure based on the on-vehicle vibration signal and wavelet analysis
URI https://dx.doi.org/10.1016/j.jsv.2010.05.005
https://www.proquest.com/docview/1762122410
https://www.proquest.com/docview/753683588
Volume 329
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