Wavelet-based crack identification of bridge beam from operational deflection time history

Zhu, Xinqun; Law, S.S.

doi:10.1016/j.ijsolstr.2005.07.024

Cited by 207 publications

(148 citation statements)

References 25 publications

(30 reference statements)

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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%

“…Noise is added here to the simulated acceleration using the additive model of Equation (6) (Zhu and Law, 2006).…”

Section: (Approx Location Figure 13)mentioning

confidence: 99%

“…In this regard, signal processing techniques have been used to identify a localized singularity in the structural response that would not be present if the structure was healthy (Zhu and Law, 2006, Zhang et al, 2009, Hester and González, 2011. Hester and Gonzalez (2011) show that for vehicle speeds approaching highway speeds, the singularity could be hindered to an extent that would make it unidentifiable.…”

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confidence: 99%

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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%

“…Noise is added here to the simulated acceleration using the additive model of Equation (6) (Zhu and Law, 2006).…”

Section: (Approx Location Figure 13)mentioning

confidence: 99%

mentioning

confidence: 99%

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A bridge-monitoring tool based on bridge and vehicle accelerations

Hester

González

2014

Structure and Infrastructure Engineering

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“…In recent years, many authors have placed emphasis upon identifying localised damage in a beam from its response to a moving force, e.g., through the application of wavelets to the beam displacement [21,22] or acceleration response [23]. Others have applied empirical mode decomposition to the acceleration response [24,25].…”

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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“…Bilello and Bergman [17] studied damaged beams under a moving load. Zhu and Law [18] used continuous wavelet transform for analyzing the operational deflection time history of the bridge subject to a moving vehicular load. However, most of the current works relating to crack detection of a bridge subject to a moving vehicle focuses on fully open cracks, while the breathing crack phenomenon has not been concerned.…”

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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Wavelet-based crack identification of bridge beam from operational deflection time history

Cited by 207 publications

References 25 publications

A bridge-monitoring tool based on bridge and vehicle accelerations

A bridge-monitoring tool based on bridge and vehicle accelerations

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

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

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