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

Nguyen, Khoa; Tran, Hai T.

doi:10.1016/j.jsv.2010.05.005

Cited by 124 publications

(76 citation statements)

References 31 publications

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“…The parameter used to quantify damage is chosen to be in line with those used in the literature when identifying damage in beams subject to a moving load. For example authors such as Zhu & Law (2006) and Nguyen & Tran (2010) express the severity of damage as a crack height to beam depth ratio. In both investigations, cracks as large as 50% of the depth of the section (equivalent to a 85% stiffness loss) are examined,.…”

Section: A(t) + C V(t) + K Y(t) = F(t)mentioning

confidence: 99%

A bridge-monitoring tool based on bridge and vehicle accelerations

Hester

González

2014

Structure and Infrastructure Engineering

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Previous research on damage detection based on the response of a structure to a moving load has reported decay in accuracy with increasing load speed. Using a 3-D vehicle-bridge interaction model, this paper shows that the area under the filtered acceleration response of the bridge increases with increasing damage, even at highway load speeds. Once a datum reading is established, the area under subsequent readings can be monitored and compared to the base line reading, if an increase is observed it may indicate the presence of damage. The sensitivity of the proposed approach to road roughness and noise is tested in several damage scenarios.The possibility of identifying damage in the bridge, by analysing the acceleration response of the vehicle traversing it is also investigated. While vehicle acceleration is shown to be more sensitive to road roughness and noise and therefore less reliable than direct bridge measurements, damage is successfully identified in favourable scenarios.

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Section: A(t) + C V(t) + K Y(t) = F(t)mentioning

confidence: 99%

A bridge-monitoring tool based on bridge and vehicle accelerations

Hester

González

2014

Structure and Infrastructure Engineering

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“…Reda Taha et al (2006) discuss the use of wavelets in health monitoring applications while Nair & Kiremidjian (2009) illustrate the potential of continuous wavelet transforms (CWTs) to be used in statistical pattern recognition approaches for structural damage detection. Their use has also been extended to numerical investigations of indirect approaches which aim to identify localised damage within a bridge from the wavelet transform of vehicle displacements (Nguyen & Tran 2010, Khorram et al 2012) and accelerations ; low speeds are found to be beneficial and the approach can be more effective than using fixed sensors on the bridge.…”

Section: Introductionmentioning

confidence: 99%

A wavelet based drive-by bridge inspection system

McGetrick¹,

Kim²

2014

Bridge Maintenance, Safety, Management and Life Extension

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“…Numerical investigations of indirect approaches incorporating wavelet theory have been carried out in order to identify localized damage within a bridge; Nguyen & Tran (2010) and Khorram et al (2012) used the wavelet transform of vehicle displacements, highlighting that such an approach can be more effective than using sensors directly on the bridge. In a parametric study, focused on the CWT of vehicle accelerations; noting in theoretical simulations that low speeds provide higher accuracy for damage detection, while in an experimental investigation it was difficult to accurately identify the damage location.…”

Section: Introductionmentioning

confidence: 99%