A wavelet-based damage detection algorithm based on bridge acceleration response to a vehicle

Journal of Sound and Vibration

2013

Self Cite

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.

Section: Use Of the Beam Acceleration Due To A 2-axle Sprung Model Onmentioning

confidence: 99%

“…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

Journal of Sound and Vibration

2013

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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

Structure and Infrastructure Engineering

González

2014

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.

“…The model used in this study is similar to the model used in [16,21,32,33] and is intended to be representative of the kind of 2 axle trucks present in modern traffic fleets (i.e. it is not a special test vehicle).…”

Section: Vehicle Bridge Interaction (Vbi)mentioning

confidence: 99%

Isolating the location of scour-induced stiffness loss in bridges using local modal behaviour

Prendergast

Gavin

J Civil Struct Health Monit

2017

Detecting scour by analysing bridge vibrations is receiving an increasing amount of attention in the literature. Others have considered changes in natural frequency to indicate the presence of scour damage; however, little work has been reported on identifying the location of a scour hole based on vibration measurements. In this paper, a numerical study is carried out using a bespoke vehiclebridge-soil dynamic interaction model to examine how the first six vibration modes (Eigen frequencies) of a typical integral bridge are affected by scour at different locations. It is found that depending on the location of the scour hole, some modes are much more affected than others in terms of frequency changes. In fact, a clear pattern emerges as to which modes are affected by which scour location. Using this knowledge, the location of a scour hole can potentially be detected on a real bridge. However, recognising that it is not possible to undertake an eigenvalue analysis on an actual bridge, an analysis is performed by collecting acceleration signals from various points on the structure. The bridge is loaded by a realistic vehicle model, incorporating vehicle-bridge interaction effects, which leads to the generation of discrete acceleration signals at various 'sensor' locations on the bridge. In this paper, it is found that it is possible to detect the location of a scour hole using a relatively small number of 'sensors'. However, to achieve this, careful signal processing is necessary and advice on a number of pertinent issues is provided.