Piezoelectric actuator/sensor wave propagation based nondestructive active monitoring method of concrete structures

Zhu, Jie; He, Le

doi:10.1007/s11595-011-0264-7

Cited by 10 publications

(3 citation statements)

References 13 publications

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“…The grid size (l) in this simulation was 1/10 of Rayleigh wavelength λ, as shown in Equation (8). Due to the small size of the piezoelectric ceramics, the grid of piezoelectric ceramics and the horizontal space of concrete where the sensor was embedded were selected for local refinement.…”

Section: Grid Division and Analysis Stepsmentioning

confidence: 99%

“…The received signals were processed by time domain analysis and frequency domain analysis. Zhu et al [8] monitored the basic mechanical properties and interior damage of concrete structures with a piezoelectric actuator/sensor based on the wave propagation method. Xu et al [9] detected the debonding at the contact interface of concrete-filled steel tubes using the piezoelectric wave method and investigated the coupling effect of different arrangements of piezoelectric ceramics on the debonding of concrete and steel tubes.…”

Section: Introductionmentioning

confidence: 99%

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Defect Detection in Grouting Sleeve Grouting Material by Piezoelectric Wave Method

Qiao,

Wang,

Liu

et al. 2024

Buildings

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The construction defects in grouting sleeves can jeopardize the safety of precast reinforced concrete structures. Thus, efficient and accurate defect detection is critical in engineering construction. In this paper, a defect detection method based on piezoelectric wave theory was proposed. Two piezoelectric ceramics were arranged within the grouting sleeve. One piezoelectric ceramic was affixed on the top of the steel bar, while the other was embedded in the grouting material, serving as the driver and sensor, respectively. The compactness defects, air cavity defects, steel anchoring defects, and water–binder ratio defects were set in the grouting sleeves, and the trends in time domain signals and signal evaluation indicators based on the wavelet packet total energy value (WPTEV) of different specimens were investigated. Based on the WPTEV, the evaluation index (EI) was proposed. In addition, the effect of the grouting material’s age on the piezoelectric wave signal was verified. Furthermore, the influence of grouting material defects on signals was simulated in ABAQUS, and the time domain signals and wavelet packet energy of sensor signals for specimens with varying defect dimensions were evaluated. The results showed that: (1) The defects in the grouting materials reduced the stress waves propagated through the grouting materials, resulting in a decrease in attenuation and an increasing trend in the signal; (2) The peak-to-peak values of piezoelectric ceramic sensors and the WPTEV of the signal increased with the degree of defects, and the WPTEV was more pronounced. For specimen M68, the WPTEV was 3.3 times that of the healthy specimen, however, the peak-to-peak value was only 2.3 times that of the healthy specimen; (3) The degree of defects was accurately determined by the defect evaluation index (EI) based on the WPTEV; (4) The signal was significantly attenuated with the increase in the age of the grouting material, especially in the first three days, and finally the signal achieved a stable value; (5) The numerical simulation indicated that the defects in the length and thickness of the air cavity in the grouting material were efficiently detected by the proposed piezoelectric arrangement in this study.

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Section: Grid Division and Analysis Stepsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Defect Detection in Grouting Sleeve Grouting Material by Piezoelectric Wave Method

Qiao,

Wang,

Liu

et al. 2024

Buildings

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show abstract

“…At present, the boundary extraction algorithm is applied to single value surface that the boundary will not be overlap when projected in one plane. For example, the famous Graham algorithm [1] can detect boundary from 2D point cloud of convex hull surface effectively; Hanhua Zhu [2] put forward the triangle of the point cloud; Jiangxiong Li [3] of Zhejiang University proposed nets hole method and Tao Chen and Guangyao Li [4] of Hunan University proposed a minimum bounding box algorithm, and so on.…”

Section: Introductionmentioning

confidence: 99%

Novel Method for Extracting Body Boundary from Measured Point Cloud of Helical Surface

Guo

Pan

Zhu

et al. 2011

AMM

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A fast efficient method for extracting body boundary from helical surface is proposed in this paper in order to build the model of the measured surface. Firstly, according to the density of the point cloud, a divisional cylinder is built from an established model of the helical surface. Secondly, a center of the circle is get from the XY projection of the point cloud by the least-square method, and the points are sorted to make the point cloud in sequence. Then a vector method is used to test the remaining point cloud, which is separated by the divisional cylinder to obtain the rough body boundary points. The rough boundary is modified by the angles between the points to obtain the accurate body boundary points. Finally, a smooth boundary is formed through the B-spline method. The expereimental results show that the proposed method does not need grid partition and boundary grid detection and the efficiency is very high.

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Piezoelectric-based crack detection techniques of concrete structures: Experimental study

Zhu

Gao

2012

J. Wuhan Univ. Technol.-Mat. Sci. Edit.

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Piezoelectric actuator/sensor wave propagation based nondestructive active monitoring method of concrete structures

Cited by 10 publications

References 13 publications

Defect Detection in Grouting Sleeve Grouting Material by Piezoelectric Wave Method

Defect Detection in Grouting Sleeve Grouting Material by Piezoelectric Wave Method

Novel Method for Extracting Body Boundary from Measured Point Cloud of Helical Surface

Piezoelectric-based crack detection techniques of concrete structures: Experimental study

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