Identification of the location and size of cracks in beams by a piezoceramic actuator–sensor

Ritdumrongkul, Sopon; Fujino, Yozo

doi:10.1002/stc.204

Cited by 22 publications

(12 citation statements)

References 12 publications

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“…length and width). Mechanical probes and electronic sensors are generally used [3][4][5]. However, while such instruments offer high precision for crack measurement, most have significant limitations: (1) predefined permanent positions on the structure; (2) prefixed, uniaxial measurement; (3) limited measurement range; (4) physical access requirements, and/or (5) considerable cost.…”

Section: Introductionmentioning

confidence: 99%

Crack detection limits in unit based masonry with terrestrial laser scanning

Laefer

Truong-Hong

Carr

et al. 2014

NDT & E International

103

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This paper presents the fundamental mathematics to determine the minimum crack width detectable with a terrestrial laser scanner in unit-based masonry. Orthogonal offset, interval scan angle, crack orientation, and crack depth are the main parameters. The theoretical work is benchmarked against laboratory tests using 4 samples with predesigned crack widths of 1-7mm scanned at orthogonal distances of 5.0-12.5m and at angles of 0˚-30˚. Results showed that absolute errors of crack width were mostly less than 1.37mm when the orthogonal distance varied 5.0-7.5m but significantly increased for greater distances. Orthogonal distance had a disproportionately negative effect compared to the scan angle.2

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Section: Introductionmentioning

confidence: 99%

Crack detection limits in unit based masonry with terrestrial laser scanning

Laefer

Truong-Hong

Carr

et al. 2014

NDT & E International

103

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“…The SVR model and the estimated bias parameter of the crack monitoring sequence are expressed by formula (10) and formula (11), respectively, after the above quadratic optimization problem is solved. In the modeling of COD values, the vector of the inputs to the model, x, should be defined to consist of the crack-influencing factors, namely, the water pressure, the temperature, and the time-varying factor.…”

Section: Input Spacementioning

confidence: 99%

“…In conclusion, the steps of analyzing monitoring data for early warning of crack opening in a concrete dam using the B-SVR model can be summarized as follows. First, the prediction model expressed by formulas (10) and 11is established using support-vector-based modeling based on measured monitoring data consisting of a series of COD. Then, the optimal parameters of the model are deduced using formulas (14), (16), and (18).…”

Section: Kernel Function Layermentioning

confidence: 99%

“…The first one 2 Mathematical Problems in Engineering focuses on the nondestructive detection and characterization of cracks, including location, size, depth, and other information. Numerous sensing techniques are proposed and applied, such as strain gauges [8], optical fiber sensor [9], piezoceramic sensor [10], carbon nanotube thread [11], and other vibration-based methods [12,13]. The other one focuses on the assessment and prediction of crack propagation, as well as structural behavior, based on quantification monitoring data analysis.…”

Section: Introductionmentioning

confidence: 99%

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Time‐Varying Identification Model for Crack Monitoring Data from Concrete Dams Based on Support Vector Regression and the Bayesian Framework

Chen

Zhong-ru

Liang

et al. 2017

Mathematical Problems in Engineering

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The modeling of cracks and identification of dam behavior changes are difficult issues in dam health monitoring research. In this paper, a time-varying identification model for crack monitoring data is built using support vector regression (SVR) and the Bayesian evidence framework (BEF). First, the SVR method is adopted for better modeling of the nonlinear relationship between the crack opening displacement (COD) and its influencing factors. Second, the BEF approach is applied to determine the optimal SVR modeling parameters, including the penalty coefficient, the loss coefficient, and the width coefficient of the radial kernel function, under the principle that the prediction errors between the monitored and the model forecasted values are as small as possible. Then, considering the predicted COD, the historical maximum COD, and the time-dependent component, forewarning criteria are proposed for identifying the time-varying behavior of cracks and the degree of abnormality of dam health. Finally, an example of modeling and forewarning analysis is presented using two monitoring subsequences from a real structural crack in the Chencun concrete arch-gravity dam. The findings indicate that the proposed time-varying model can provide predicted results that are more accurately nonlinearity fitted and is suitable for use in evaluating the behavior of cracks in dams.

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“…, and an example of nonlinear system identification through particle and Kalman filters is covered by Nasrellah and Manohar . The local damage identification based on piezoelectric patch using impedance technique is dealt with by Ritdumrongkul and Fujino .…”

Section: Previous Investigations On Damage Assessmentmentioning

confidence: 99%

Damage identification of beam-like structures with contiguous and distributed damage

Raghuprasad

Lakshmanan

Gopalakrishnan

et al. 2012

Struct. Control Health Monit.

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Structural health monitoring of existing infrastructure is currently an active field of research, where elaborate experimental programs and advanced analytical methods are used in identifying the current state of health of critical structures. Change of static deflection as the indicator of damage is the simplest tool in a structural health monitoring scenario of bridges that is least exploited in damage identification strategies. In this paper, some simple and elegant equations based on loss of symmetry due to damage are derived and presented for identification of damage in a bridge girder modeled as a simply supported beam using changes in static deflections and dynamic parameters. A single contiguous and distributed damage, typical of reinforced or prestressed concrete structures, is assumed for the structure. The methodology is extended for a base-line-free as well as base-line-inclusive measurement. Measurement strategy involves application of loads only at two symmetric points one at a time and deflection measurements at those symmetric points as well as at the midspan of the beam. A laboratory-based experiment is used to validate the approach.

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Identification of the location and size of cracks in beams by a piezoceramic actuator–sensor

Cited by 22 publications

References 12 publications

Crack detection limits in unit based masonry with terrestrial laser scanning

Crack detection limits in unit based masonry with terrestrial laser scanning

Time‐Varying Identification Model for Crack Monitoring Data from Concrete Dams Based on Support Vector Regression and the Bayesian Framework

Damage identification of beam-like structures with contiguous and distributed damage

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