Noncontact laser vibrometry-based fence-like arrays with wavefield filtering-assisted adaptive imaging algorithms for detecting multiple pits in a compact cluster

Tian, Zhenhua; Ma, Zhaoyun; Xiao, Wenfeng; Yu, Lingyu

doi:10.1177/1475921720976926

Cited by 5 publications

(3 citation statements)

References 61 publications

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“…Existing methods for contour estimation are mainly based on high-resolution imaging algorithms. In some cases, the imaging results of the delay-and-sum method [26], minimum variance imaging method [27] and tomographic reconstruction [28] are similar to actual damage contour. However, this kind of contour estimation is based on subjective visual judgment of imaging results to a large extent, which implies that it cannot provide the specific boundary of damage.…”

Section: Introductionmentioning

confidence: 82%

Disbond contour estimation in aluminum/CFRP adhesive joint based on the phase velocity variation of Lamb waves

Tong¹,

Hua²,

Gao³

et al. 2022

Smart Mater. Struct.

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Adhesive lap joints between composite and metal plates have been widely used in industrial fields including the automotive industry, marine manufacturing and aerospace engineering. Low quality of operation, harsh environment, adhesive aging and other disadvantages may lead to disbonding. To assess the disbond contour at an adhesive interface, this study proposes a detection method based on the phase velocity variation of Lamb waves. First, the dispersion curves of Lamb waves in both single-layer and bonded multi-layer areas are acquired using the semi-analytical finite element (FE) method. Subsequently, numerical models of Lamb wave propagation in intact and disbonded joints are established. Due to the difference in phase velocity between relevant modes, the phase difference of Lamb wave between disbonded and intact joints is quantitatively linear with the disbond length under specific excitation, which is verified by the simulated signals based on FEs. Then, a probabilistic reconstruction algorithm based on phase delay is employed to localize the disbond center. On this basis, the edge points of the disbond are acquired, and the convex envelope of these points is sketched for disbond contour estimation. As a result, both the location and shape of the disbond can be obtained, thereby providing information for subsequent assessment. The experiment is carried out on an adhesive lap joint specimen composed of an aluminum plate and a quasi-isotropic carbon fiber reinforced plastic laminate, and the results demonstrate the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 82%

Disbond contour estimation in aluminum/CFRP adhesive joint based on the phase velocity variation of Lamb waves

Tong¹,

Hua²,

Gao³

et al. 2022

Smart Mater. Struct.

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“…Increasing the incidence direction can effectively improve imaging resolution [ 86 ]. To this end, Tian et al [ 87 ] used PZT incidents in four directions around the damaged region and used a fence array to acquire the wavefield. The densely distributed clusters of subwavelength corrosion pits were imaged.…”

Section: Detection Methods Based On the Small Amount Of Wavefield Datamentioning

confidence: 99%

A Review of Laser Ultrasonic Lamb Wave Damage Detection Methods for Thin-Walled Structures

Zheng

Luo

et al. 2023

Sensors

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Thin-walled structures, like aircraft skins and ship shells, are often several meters in size but only a few millimeters thick. By utilizing the laser ultrasonic Lamb wave detection method (LU-LDM), signals can be detected over long distances without physical contact. Additionally, this technology offers excellent flexibility in designing the measurement point distribution. The characteristics of LU-LDM are first analyzed in this review, specifically in terms of laser ultrasound and hardware configuration. Next, the methods are categorized based on three criteria: the quantity of collected wavefield data, the spectral domain, and the distribution of measurement points. The advantages and disadvantages of multiple methods are compared, and the suitable conditions for each method are summarized. Thirdly, we summarize four combined methods that balance detection efficiency and accuracy. Finally, several future development trends are suggested, and the current gaps and shortcomings in LU-LDM are highlighted. This review builds a comprehensive framework for LU-LDM for the first time, which is expected to serve as a technical reference for applying this technology in large, thin-walled structures.

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“…For example, a combination of dispersion compensation and deconvolution in phased-addition algorithm is used; therefore, simulated pitting corrosion could be well detected within the dynamic range of the array measurement [ 12 ]. Some studies have revealed that a method using scanning laser Doppler vibrometer (SLDV) can detect a cluster of pits which are arranged in 3 × 3 × 3 array and have the diameter of 2 mm and the interval of 2 mm in aluminum plate, but most pits except the one at the center of cluster can be identified [ 13 , 14 ]. Recently, Cao et al proposed the NI, which can link the degree of nonlinearity to the size of pitting damage, and both the PZTs network and RAPID algorithm are used to visualize pitting damage, but only an approximate range of pitting corrosion can be located [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Application of Sensor Path Weighting RAPID Algorithm on Pitting Corrosion Monitoring of Aluminum Plate

Zhang

Han

et al. 2022

Materials

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Aluminum alloy is widely used in aerospace structures. However, it often suffers from a harsh corrosion environment, resulting in different damage such as pitting corrosion, which leads to a reduction in the service life of aerospace structures. In the present study, the pitting corrosion with a radius of 1 mm and a depth of 0.6 mm was manufactured using hydrofluoric (HF) acid on a 2024-T3 aluminum alloy plate (400 mm × 400 mm × 2 mm) to simulate the corrosion state of equipment. A signal acquisition system with a square sensor network of 12 piezoelectric transducers (PZTs) was established. The sensor path weighting reconstruction algorithm for the probabilistic inspection of defects (SPW-RAPID) is proposed based on corrosion damage characteristic parameters including signal correlation coefficient (SDC), root mean squared error (RMSE), and signal energy damage index (E1) to explore the monitoring efficacy of pitting corrosion. The sensor path weight w, which is the product of value coefficient a and impact factor l, is established to modify the corrosion damage characteristic parameters. The results indicate that the SPW-RAPID algorithm can improve the accuracy and clarity of image reconstruction results based on SDC, RMSE and E1, which can locate the pitting corrosion with a radius of 1 mm and a depth of 0.6 mm, and the positioning error is controlled within 0.1 mm. The research work may provide an available way to monitor tiny corrosion damage on an aluminum alloy structure.

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Noncontact laser vibrometry-based fence-like arrays with wavefield filtering-assisted adaptive imaging algorithms for detecting multiple pits in a compact cluster

Cited by 5 publications

References 61 publications

Disbond contour estimation in aluminum/CFRP adhesive joint based on the phase velocity variation of Lamb waves

Disbond contour estimation in aluminum/CFRP adhesive joint based on the phase velocity variation of Lamb waves

A Review of Laser Ultrasonic Lamb Wave Damage Detection Methods for Thin-Walled Structures

Application of Sensor Path Weighting RAPID Algorithm on Pitting Corrosion Monitoring of Aluminum Plate

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