The Feasibility of Using Laser Doppler Vibrometer Measurements from a Passing Vehicle for Bridge Damage Detection

Malekjafarian, Abdollah; Martínez, Daniel; O’Brien, Eugene J.

doi:10.1155/2018/9385171

Cited by 14 publications

(10 citation statements)

References 35 publications

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“…Compared to the scanning LDVs are widely used for non-contact displacement or velocity measurements that do not require an absolute distance from the target. One major field that uses LDV is structural health monitoring and modal testing [8,9] for various structures, e.g., bridges [10][11][12], buildings [13][14][15], wind turbines [16,17], airplanes [18], and PCBs [19]. Another important focus is the biomedical field, where LDVs are used in otology [20], cardiology [21], and photo-acoustic imaging [22].…”

Section: Background and Working Principle Of Ldvmentioning

confidence: 99%

Miniaturization of Laser Doppler Vibrometers—A Review

Dieussaert

Baets

2022

Sensors

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Laser Doppler vibrometry (LDV) is a non-contact vibration measurement technique based on the Doppler effect of the reflected laser beam. Thanks to its feature of high resolution and flexibility, LDV has been used in many different fields today. The miniaturization of the LDV systems is one important development direction for the current LDV systems that can enable many new applications. In this paper, we will review the state-of-the-art method on LDV miniaturization. Systems based on three miniaturization techniques will be discussed: photonic integrated circuit (PIC), self-mixing, and micro-electrochemical systems (MEMS). We will explain the basics of these techniques and summarize the reported miniaturized LDV systems. The advantages and disadvantages of these techniques will also be compared and discussed.

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Section: Background and Working Principle Of Ldvmentioning

confidence: 99%

Miniaturization of Laser Doppler Vibrometers—A Review

Dieussaert

Baets

2022

Sensors

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“…Different damage mechanisms can affect bridge vibrations in different ways so there have been various efforts to examine how drive-by techniques can be used to identify these changes, e.g. for scour (Fitzgerald et al, 2019), cracking in the deck (Malekjafarian, Martinez, et al, 2018; or changes in boundary conditions (Cerda et al, 2014;Mei & Gül, 2019) amongst others. Drive-by techniques have also been used for different applications, including calculation of bridge damping (Keenahan et al, 2014), estimation of vehicle properties and investigation of pavement characteristics (McGetrick et al, , 2017.…”

Section: Introductionmentioning

confidence: 99%

Examining changes in bridge frequency due to damage using the contact-point response of a passing vehicle

Corbally

Malekjafarian

2021

Journal of Structural Integrity and Maintenance

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Ongoing inspection and maintenance of bridges poses a challenging task for infrastructure owners who must manage large bridge stocks with limited budgets. Drive-by monitoring approaches, using sensors in a vehicle, provide a promising solution to this challenge. This paper investigates the use of the response at the point-of-contact between the tyre and the bridge as a means of monitoring bridge frequency. An expression is derived to allow the contact-point (CP) response to be inferred directly from in-vehicle measurements, expanding on previous studies by allowing the vehicle suspension characteristics to be considered. The sensitivity of the CP-response to the pavement characteristics is investigated in detail and a rigid-disk model is used to overcome issues with how existing vehicle-bridge interaction models consider the interaction between the wheel and the pavement. The feasibility of the CP-response as a measure of bridge condition is investigated and results show that the CP-response significantly outperforms the response measured directly on the vehicle. The CP-response is successful in identifying the bridge frequency and changes caused by damage, without being influenced by the vehicle frequencies. Incorporating the CP-response into drive-by bridge monitoring will improve accuracy over existing methods which use the vehicle response alone.

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“…The effectiveness of most of the modal parameter-based techniques was only demonstrated through numerical simulations, and their outcomes can be affected by environmental conditions like temperature, especially in the case of damping and natural frequencies [15][16][17]. Conversely, non-modal parameter-based methods do not explicitly seek the computation of bridge modal parameters, but rather focus on the bridge deflection under passing loads (e.g., apparent profile [18,19] or change of curvature [20,21]) or on the dynamic response of the vehicle crossing the bridge [22][23][24][25][26][27], which is also the method investigated in this paper.…”

Section: Introductionmentioning

confidence: 99%

Damage Identification in Warren Truss Bridges by Two Different Time–Frequency Algorithms

2021

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Recently, a number of authors have been focusing on drive-by monitoring methods, exploiting sensors mounted on the vehicle rather than on the bridge to be monitored, with clear advantages in terms of cost and flexibility. This work aims at further exploring the feasibility and effectiveness of novel tools for indirect health monitoring of railway structures, by introducing a higher level of accuracy in damage modelling, achieve more close-to-reality results. A numerical study is carried out by means of a FE 3D model of a short span Warren truss bridge, simulating the dynamic interaction of the bridge/track/train structure. Two kinds of defects are simulated, the first one affecting the connection between the lower chord and the side diagonal member, the second one involving the joint between the cross-girder and the lower chord. Accelerations gathered from the train bogie in different working conditions and for different intensities of the damage level are analyzed through two time-frequency algorithms, namely Continuous Wavelet and Huang-Hilbert transforms, to evaluate their robustness to disturbing factors. Compared to previous studies, a complete 3D model of the rail vehicle, together with a 3D structural scheme of the bridge in place of the 2D equivalent scheme widely adopted in the literature, allow a more detailed and realistic representation of the effects of the bridge damage on the vehicle dynamics. Good numerical results are obtained from both the two algorithms in the case of the time-invariant track profile, whereas the Continuous Wavelet Transform is found to be more robust when a deterioration of track irregularity is simulated.

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The Feasibility of Using Laser Doppler Vibrometer Measurements from a Passing Vehicle for Bridge Damage Detection

Cited by 14 publications

References 35 publications

Miniaturization of Laser Doppler Vibrometers—A Review

Miniaturization of Laser Doppler Vibrometers—A Review

Examining changes in bridge frequency due to damage using the contact-point response of a passing vehicle

Damage Identification in Warren Truss Bridges by Two Different Time–Frequency Algorithms

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