Structural Health Monitoring Based on Vehicle-Bridge Interaction: Accomplishments and Challenges

Zhu, Xinqun; Law, S.S.

doi:10.1260/1369-4332.18.12.1999

Cited by 136 publications

(52 citation statements)

References 129 publications

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“…Time-domain deconvolution is one of the most widely used methods for structural dynamic force reconstruction [28]. By assuming zero initial conditions, the structural response ( ) can be expressed as a convolution integral of an external dynamic force ( ) and the corresponding impulse response function ℎ( − ) [20]:…”

Section: Time-domain Deconvolutionmentioning

confidence: 99%

Adaptive Reconstruction of a Dynamic Force Using Multiscale Wavelet Shape Functions

Yang

Zhu

2018

Shock and Vibration

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The shape function-based method is one of the very promising time-domain methods for dynamic force reconstruction, because it can significantly reduce the number of unknowns and shorten the reconstruction time. However, it is challenging to determine the optimum time unit length that can balance the tradeoff between reconstruction accuracy and efficiency in advance. To address this challenge, this paper develops an adaptive dynamic force reconstruction method based on multiscale wavelet shape functions and time-domain deconvolution. A concentrated dynamic force is discretized into units in time domain and the local force in each unit is approximated by wavelet scale functions at an initial scale. Subsequently, the whole response matrix is formulated by assembling the responses induced by the wavelet shape function forces of all time units which are calculated by the structural finite element model (FEM). Then, the wavelet shape function-based force-response equation is established for force reconstruction. Finally, the scale of the force-response equation is lifted by refining the wavelet shape function with high-scale wavelets and dynamic responses with more point data to improve the reconstruction accuracy gradually. Numerical examples of different structural types are analyzed to verify the feasibility and effectiveness of the proposed method.

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Section: Time-domain Deconvolutionmentioning

confidence: 99%

Adaptive Reconstruction of a Dynamic Force Using Multiscale Wavelet Shape Functions

Yang

Zhu

2018

Shock and Vibration

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“…Therefore, signal processing is necessary to provide a visible form of these signatures. Some of these signal processing-based methods are transformers [3][4][5][6][7][8], time-domain methods (e.g., random decrement technique (RDT)) [1,2,[9][10][11][12][13][14], and source separation methods (e.g., blind source separation (BSS)) [15][16][17][18][19]. To implement a systematic damage detection procedure, a nested loop of RDT and a Savitzky-Golay filter (SGF) is employed in the present paper.…”

Section: Introductionmentioning

confidence: 99%

“…Although they proved that the wavelet transform is a great tool in bridge health monitoring (BHM), the sensitivity of wavelet analysis in noisy environments could not be neglected [7]. In addition to noise sensitivity, the road irregularities, velocity variation, having small velocity, and wheel dimension were other issues that limit the application of wavelet analysis [8].…”

Section: Introductionmentioning

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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“…Law et al proposed a damage localization approach for a multispan continuous beam subjected to a moving vehicle. Subsequently, numerous moving‐load‐based damage detection methods have been proposed and developed . He and Zhu decomposed the moving‐load‐induced response of a beam into two components, namely, moving‐ and natural‐frequency components.…”

Section: Introductionmentioning

confidence: 99%

Damage quantification of beam structures using deflection influence lines

Chen

Cai

Zhu

2018

Struct Control Health Monit

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Summary Influence lines (ILs) have recently been proposed as an emerging index for structural damage localization. This study investigated a novel damage detection and quantification method that is based on deflection ILs (DILs) for beam structures. By reconstructing DIL matrices using a matrix decomposition method, the relationship between structural damage and changes in DILs was revealed. Subsequently, a DIL‐based method was proposed to locate and quantify damage in beam structures. Numerical case studies and laboratory experiments were conducted to investigate the effectiveness of the proposed method in different scenarios, namely, single or multiple damages in a one‐span simply supported beam and a two‐span continuous beam. Satisfactory damage localization and quantification results were achieved even with noise interference in the measurements. The influences of sensor number and locations were also examined in the numerical studies. In general, an increasing number of sensors and short distance from the measurement points to the damage locations benefited the damage detection accuracy. The numerical and experimental results demonstrated that the proposed DIL‐based method will be a promising field detection technique for the localization and quantification of damage in bridges.

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Structural Health Monitoring Based on Vehicle-Bridge Interaction: Accomplishments and Challenges

Cited by 136 publications

References 129 publications

Adaptive Reconstruction of a Dynamic Force Using Multiscale Wavelet Shape Functions

Adaptive Reconstruction of a Dynamic Force Using Multiscale Wavelet Shape Functions

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

Damage quantification of beam structures using deflection influence lines

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