A drive-by inspection system via vehicle moving force identification

O’Brien, Eugene J.; McGetrick, Patrick; González, Arturo

doi:10.12989/sss.2014.13.5.821

Cited by 80 publications

(50 citation statements)

References 64 publications

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“…Since the moving force has no mass and spring, it cannot be regarded as an appropriate moving load problem. In this section, a moving sprung mass with a constant velocity and an Euler-Beroulli beam are used as a numerical model of a simply supported beam under a quarter car [23,43,44]. A schematic view of the model is shown in Figure 4.…”

Section: The Numerical Model Of a Simply Supported Beam Subjected To mentioning

confidence: 99%

Beam Damage Detection Under a Moving Load Using Random Decrement Technique and Savitzky–Golay Filter

Kordestani

Zhang

Shadabfar

2019

Sensors

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In this paper, a two-stage time-domain output-only damage detection method is proposed with a new energy-based damage index. In the first stage, the random decrement technique (RDT) is employed to calculate the random decrement signatures (RDSs) from the acceleration responses of a simply supported beam subjected to a moving load. The RDSs are then filtered using the Savitzky–Golay filter (SGF) in the second stage. Next, the filtered RDSs are processed by the proposed energy-based damage index to locate and quantify the intensity of the possible damage. Finally, by fitting a Gaussian curve to the damage index resulted from the non-damage conditions, the whole process is systematically implemented as a baseline-free method. The proposed method is numerically verified using a simply supported beam under moving sprung mass with different velocities and damage scenarios. The results show that the proposed method can accurately estimate the damage location/quantification from the acceleration data without any prior knowledge of either input load or damage characteristics. Additionally, the proposed method is neither sensitive to noise nor velocity variation, which makes it ideal when obtaining a constant velocity is difficult.

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Section: The Numerical Model Of a Simply Supported Beam Subjected To mentioning

confidence: 99%

Beam Damage Detection Under a Moving Load Using Random Decrement Technique and Savitzky–Golay Filter

Kordestani

Zhang

Shadabfar

2019

Sensors

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“…A moving average filter is applied to the generated road profile heights, yi. It is over a distance of 0.24 m to simulate the attenuation of short wavelength disturbances by the tyre contact patch [7,9].…”

Section: Road Modelmentioning

confidence: 99%

“…The road condition is accurately classified by Fourier analysis which is used to calculate the power spectral density (PSD) function of the surface. OBrien et al present a drive-by method to monitor transport infrastructure (such as bridges and pavements) by analysing vehicle accelerations [7]. An algorithm is proposed to identify the dynamic vehicle-bridge interaction forces using the vehicle response.…”

Section: Introductionmentioning

confidence: 99%

Drive-by Damage Monitoring of Transport Infrastructure Using Direct Calculation of the Profile

Keenahan¹,

O’Brien²,

Ren³

2019

Proceedings of the 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Roads and railway tracks are a major focus of interest in transport infrastructure monitoring. Settlement in a road or railway track profile changes the dynamic excitation applied to passing vehicles. This, in turn, results in a changed dynamic response in the original source of loading, such as a passing vehicle. These changes in dynamic excitation make it possible to detect damage in transport infrastructure from the vehicle response. In this paper, the profile is calculated using accelerations in a passing vehicle and used to monitor transport infrastructure.

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“…OBrien et al [43] give details of truck-trailer modelling in MATLAB. The properties of the truck and trailers are given in Tables 4 and 5 respectively.…”

Section: Truck-trailers Passing Over a Bridge With A Class A Profilementioning

confidence: 99%

Identification of bridge mode shapes using Short Time Frequency Domain Decomposition of the responses measured in a passing vehicle

Malekjafarian¹,

O’Brien²

2014

Engineering Structures

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233

107

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Publication informationEngineering Structures, Publisher Elsevier Item record/more information http://hdl.handle.net/10197/6931 Publisher's statementThis is the author's version of a work that was accepted for publication in Engineering Structures. 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 Engineering Structures (VOL 81, ISSUE 2014, (2015 , several segments are defined on the bridge and the measurement is performed using two instrumented axles. Here, the FDD method is employed in a multi-stage procedure applied to the bridge segments in sequence. A rescaling process is used to construct the global mode shape vector. The performance of the proposed method is validated using numerical case studies. In other indirect bridge identification methods, the road profile may excite the vehicle, making it difficult to detect the bridge modes. This is addressed using two concepts: applying external excitation to the bridge and subtracting signals in the axles of successive trailers towed by the vehicle. The results obtained from the numerical investigation demonstrate that the proposed method can estimate the bridge mode shapes with acceptable accuracy. Sensitivity of the method to added white noise is also investigated.

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A drive-by inspection system via vehicle moving force identification

Cited by 80 publications

References 64 publications

Beam Damage Detection Under a Moving Load Using Random Decrement Technique and Savitzky–Golay Filter

Beam Damage Detection Under a Moving Load Using Random Decrement Technique and Savitzky–Golay Filter

Drive-by Damage Monitoring of Transport Infrastructure Using Direct Calculation of the Profile

Identification of bridge mode shapes using Short Time Frequency Domain Decomposition of the responses measured in a passing vehicle

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