Application of empirical mode decomposition to drive-by bridge damage detection

O’Brien, Eugene J.; Malekjafarian, Abdollah; González, Arturo

doi:10.1016/j.euromechsol.2016.09.009

Cited by 120 publications

(72 citation statements)

References 29 publications

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“…where θ = (EI) 1 /(EI) 2 , α = a/L, β = b/L and γ = c/L. Suppose L = 20 m, (EI) 1 = 3.33 × 10 9 Nm 2 , α = 0.5, β = 0.025, θ = 1.05, we can depict the distribution of k 0 /k in Figure 6a for different k according to Equations (9), (28), (30), and (32). It observes that the effective vehicle stiffness has an abrupt change at the damaged location, and this change is more sensitive to damage with larger k. This conforms with the conventional knowledge that stiffer vehicle is more sensitive to damage.…”

Section: The Deflection Of a Damaged Beam Under A Unit Point Loadmentioning

confidence: 99%

“…This idea was adopted in the work of OBrien and Malekjafarian . These authors also proposed to detect damage by intrinsic mode functions extracted from the vehicle responses …”

Section: Introductionmentioning

confidence: 99%

“…29 These authors also proposed to detect damage by intrinsic mode functions extracted from the vehicle responses. 30 The above methods use either the finite element model or the dynamic properties of intact bridges, which may not be easy to obtain in practice. To overcome these difficulties, Xiang et al 31 proposed the active Tap-scan damage detection method based on a passing vehicle mounted with a tapping device, a shaker for example.…”

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confidence: 99%

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Passive Tap‐scan damage detection method for beam structures

Xiang

2020

Struct Control Health Monit

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Summary Efficient damage detection technologies are highly demanded in the maintenance of bridge structures. For this purpose, the authors have developed the active Tap‐scan damage detection method, which can extract bridge damage from the acceleration of a passing vehicle mounted with a shaker. Although this method can be efficiently implemented in a noisy environment with normal traffic, the damage detection accuracy could be deteriorated by the fluctuation of vehicle velocity, and the portability of the vehicle is impeded by the cumbersome shaker system. To solve these problems, this paper proposes a passive Tap‐scan damage detection method, which uses an automatic driving vehicle with specially designed tire treads to scan the bridge. Instead of using the shaker, the tapping force is passively generated by coordinating the vehicle velocity with the periodic pattern of the tire tread. The theoretical basis of this method is firstly established on the analysis of the interaction between a simply supported beam and a passing vehicle with tapping contact forces, as well as the analytical solution of the deflection of a damaged beam subjected to a unit point force. Then, in‐house experimental damage detection results of a simply supported aluminium box beam are reported to demonstrate the effectiveness of the proposed method.

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Section: The Deflection Of a Damaged Beam Under A Unit Point Loadmentioning

confidence: 99%

“…This idea was adopted in the work of OBrien and Malekjafarian . These authors also proposed to detect damage by intrinsic mode functions extracted from the vehicle responses …”

Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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Passive Tap‐scan damage detection method for beam structures

Xiang

2020

Struct Control Health Monit

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“…Yang et. al [20,21] proposed drive-by or indirect bridge monitoring, in which the bridge condition is evaluated using the response measured on a passing vehicle [22]. It is particularly promising for short and medium span bridges.…”

Section: Introductionmentioning

confidence: 99%

Damage detection using curvatures obtained from vehicle measurements

O’Brien

Martínez

Malekjafarian

et al. 2017

J Civil Struct Health Monit

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This paper describes a new procedure for bridge damage identification through drive-by monitoring. Instantaneous Curvature (IC) is presented as a means to determine a local loss of stiffness in a bridge through measurements collected from a passing instrumented vehicle. Moving Reference Curvature (MRC) is compared with IC as a damage detection tool. It is assumed that absolute displacements on the bridge can be measured by the vehicle. The bridge is represented by a finite element (FE) model. A Half-car model is used to represent the passing vehicle. Damage is represented as a local loss of stiffness in different parts of the bridge. 1% random noise and no noise environments are considered to evaluate the effectiveness of the method. A generic road surface profile is also assumed. Numerical simulations show that the local damage can be detected using IC if the deflection responses can be measured with sufficient accuracy. Damage quantification can be obtained from MRC.

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“…OBrien et al [9] use empirical mode decomposition (EMD) of the accelerations measured on a passing vehicle for damage detection. It is shown that some components of the signal include the damage information.…”

Section: Introductionmentioning

confidence: 99%