Studies on Wavelet Packet-Based Crack Detection for a Beam under the Moving Load

Zhang, Wei Wei; Wang, Zhi Hua; Wei, Hong

doi:10.4028/www.scientific.net/kem.413-414.285

Cited by 13 publications

(10 citation statements)

References 5 publications

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“…In recent years many authors have placed emphasis upon identifying localised damage in a bridge from its response to a moving load. Some authors use a wavelet transform of beam translation [3,4] or acceleration [5] response to a moving vehicle to identify damage in a beam, while other researchers have applied empirical mode decomposition to the acceleration response [6,7]. Most of these methodologies identify damage through the identification of a anomaly in a processed signal for the damaged bridge state which is not present for the healthy condition.…”

Section: Existing Bridge Damage Detection Approaches Using the Responmentioning

confidence: 99%

Bridge damage detection using rotation measurements – Experimental validation

Huseynov

Kim

O'Brien

et al. 2020

Mechanical Systems and Signal Processing

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This paper presents a novel bridge condition assessment methodology using direct rotation measurements. Initially, numerical analyses are carried out to develop the theoretical basis of the proposed bridge damage detection methodology. As a result of this study the difference in rotation influence lines obtained for healthy and damaged bridge states is proposed as a damage indicator. The sensitivity of rotation to damage and the effect of sensor locations on sensor sensitivities are investigated. Subsequently, extensive laboratory experiments are conducted on a 5.4 m long simply supported bridge structure in an effort to validate the results from the numerical analyses. The test structure is instrumented with rotation sensors and axle detectors and loaded with a fouraxle moving vehicle. In this study, rotations are measured using high grade uniaxial accelerometers. The procedure of measuring rotations using accelerometers is explained within the scope of this study. To test the robustness of the proposed bridge condition assessment methodology, a wide range of single and multiple damage scenarios is investigated and the results from this study show that the proposed methodology can successfully identify damage on a bridge. For the model considered, damage as low as 7% change in stiffness over an extent of 2.5% bridge span is shown to be detectable.

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Section: Existing Bridge Damage Detection Approaches Using the Responmentioning

confidence: 99%

Bridge damage detection using rotation measurements – Experimental validation

Huseynov

Kim

O'Brien

et al. 2020

Mechanical Systems and Signal Processing

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show abstract

“…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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“…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.…”

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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Studies on Wavelet Packet-Based Crack Detection for a Beam under the Moving Load

Cited by 13 publications

References 5 publications

Bridge damage detection using rotation measurements – Experimental validation

Bridge damage detection using rotation measurements – Experimental validation

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

A bridge-monitoring tool based on bridge and vehicle accelerations

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