Experimental Study of Multi-damage Detection in a Plate Based on Non-modal Method

Gao, Haiyang; Guo, Xing; Zhao, Yan

doi:10.1111/j.1747-1567.2012.00845.x

Cited by 5 publications

(5 citation statements)

References 18 publications

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“…Ratcliffe and Bagaria [71] successfully employed the GSM to locate a manufactured delamination in a small-scale glass-reinforced epoxy beam. The GSM approach was extended to two-dimensional structures, such as plates [21,[74][75][76], using a cubic polynomial with two variables to represent curvature of the plate. Subtracting the fitted curvature of the undamaged state from the calculated curvature of the damaged state of plates resulted in peaks at the damaged locations.…”

Section: Review Of Space Domain-based Techniques Using the Curve-fitt...mentioning

confidence: 99%

“…Recognizing these limitations, Gao et al [75,76] proposed a non-modal damage localization technique utilizing frequency response functions (FRF) [83] combined with a two-dimensional GSM to detect and localize damage in plate-like structures. Unlike mode shapes and their derivatives that were based on natural frequencies, the FRF shapes and their derivatives were based on a wide range of frequencies; hence, provided more information on the location of damage.…”

Section: Review Of Space Domain-based Techniques Using the Curve-fitt...mentioning

confidence: 99%

“…-GSM [21,[70][71][72][73][74]78] -GFM [97] -GDM [87][88][89] -Regression [20,77] -FRF [75,76,83] -ODS [69,81,84,86] -FE models [22,[90][91][92] • Detecting perturbations in:…”

mentioning

confidence: 99%

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Reference-Free Vibration-Based Damage Identification Techniques for Bridge Structural Health Monitoring—A Critical Review and Perspective

Moravvej,

El-Badry

2024

Sensors

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Bridges are designed and built to be safe against failure and perform satisfactorily over their service life. Bridge structural health monitoring (BSHM) systems are therefore essential to ensure the safety and serviceability of such critical transportation infrastructure. Identification of structural damage at the earliest time possible is a major goal of BSHM processes. Among many developed damage identification techniques (DITs), vibration-based techniques have shown great potential to be implemented in BSHM systems. In a vibration-based DIT, the response of a bridge is measured and analyzed in either time or space domain for the purpose of detecting damage-induced changes in the extracted dynamic properties of the bridge. This approach usually requires a comparison between two structural states of the bridge—the current state and a reference (intact/undamaged) state. In most in-situ cases, however, data on the bridge structural response in the reference state are not available. Therefore, researchers have been recently working on the development of DITs that eliminate the need for a prior knowledge of the reference state. This paper thoroughly explains why and how the reference state can be excluded from the damage identification process. It then reviews the state-of-the-art reference-free vibration-based DITs and summarizes their merits and shortcomings to give guidance on their applicability to BSHM systems. Finally, some recommendations are given for further research.

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Section: Review Of Space Domain-based Techniques Using the Curve-fitt...mentioning

confidence: 99%

Section: Review Of Space Domain-based Techniques Using the Curve-fitt...mentioning

confidence: 99%

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Reference-Free Vibration-Based Damage Identification Techniques for Bridge Structural Health Monitoring—A Critical Review and Perspective

Moravvej,

El-Badry

2024

Sensors

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“…It is difficult to obtain the baseline data due to the difference between the numerical simulation and the actual structure. Gao et al [21] employed two-dimensional GSM (Gapped Smoothing Method) with statistical noise suppression. Experimental study on the steel plate demonstrated the effectiveness of the proposed index.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Model Identification Method for Crane Damage Detection Without Baseline Data

2019

IEEE Access

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Damage in the structure may lead to significant reduction in local strength. It is of great significance to localize the damage in the early stage for integrity of the structure so as to prevent catastrophic failure. The traditional damage detection techniques is achieved through comparing the current data with the baseline data obtained from the healthy structure. However, the baseline data is not available as the structure is often subjected to operational and environmental variations that may adversely affect the measurement signals. In this paper, model identification method is adopted for crane damage detection. It only requires the data after the structure is damaged. An improved nonlinear model is proposed based on the traditional models. It is denoted as RBF-BL (RBF Network based State Dependent Bilinear) model. Different damage cases are considered in the girder of the crane. The girder is subjected to transient shock excitation. The nonlinear model is constructed based on the vibration response signals and parameter estimation is performed. The anomalous region is initially determined through the model characteristic parameter. Beamforming algorithm is then performed for precise position of the crack. Numerical simulation and experimental validation are implemented to prove the effectiveness of the proposed model for crane damage detection without baseline data.

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“…On the base of the authors' previous research [7], a novel efficient damage localization index from FRFs is formulated in this paper. For carrying out multi-damage localization in plate structures, two-dimensional gapped smoothing method (GSM) is employed.…”

Section: Introductionmentioning

confidence: 99%

Multi-damage localization in plate structure using frequency response function-based indices

Gao

Guo

Ouyang

et al. 2015

J. Phys.: Conf. Ser.

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Abstract. Vibration signal and its derivative have shown some promise in structural damage detection in previous research. However, the theoretical and practical difficulties of multi-damage detection in plate structures based on dynamic responses remain. In this paper, an efficient damage localization index based on frequency response function (FRF) is presented.The imaginary part of FRF (IFRF) is extracted to derive the new localization index due to its relation to modal flexibility. For avoiding the finite element model error, two-dimensional gapped smoothing method (GSM) is employed without the need for baseline data from a presumably undamaged structure. Experimental studies on a steel plate with two localized defects in different boundary conditions are performed. The results are compared with some typical damage indices in the literature, such as mode shapes, uniform load surface and IFRF.In order to mitigate the inherent disadvantages of GSM in anti-noise ability, a simple statistical treatment based on Thompson outlier analysis is finally used for noise suppression. The effect of damage level and boundary condition on the detection results is also investigated.

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Experimental Study of Multi-damage Detection in a Plate Based on Non-modal Method

Cited by 5 publications

References 18 publications

Reference-Free Vibration-Based Damage Identification Techniques for Bridge Structural Health Monitoring—A Critical Review and Perspective

Reference-Free Vibration-Based Damage Identification Techniques for Bridge Structural Health Monitoring—A Critical Review and Perspective

Nonlinear Model Identification Method for Crane Damage Detection Without Baseline Data

Multi-damage localization in plate structure using frequency response function-based indices

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