Dispersion curve regression – assisted wideband local wavenumber analysis for characterizing three-dimensional (3D) profile of hidden corrosion damage

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

doi:10.1016/j.ymssp.2020.107347

Cited by 29 publications

(6 citation statements)

References 30 publications

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“…Special attention was paid to the nondestructive evaluation of the corrosion degradation level, as it is one of the most common degradation types of structures subjected to aggressive environmental conditions. Pitting and general corrosion were recently investigated by [7][8][9][10][11][12][13][14]. The method of corrosion pit detection and visualisation using the dispersion curve regression method was proposed by Tian et al [9].…”

Section: Introductionmentioning

confidence: 99%

Guided Waves in Ship Structural Health Monitoring – A Feasibility Study

Roch,

Zima,

Woloszyk

et al. 2023

Polish Maritime Research

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Ships and offshore structures operate in a severe corrosion degradation environment and face difficulty in providing long-lasting corrosion protection. The Classification Societies recommend regular thickness measurements leading to structural component replacements, to ensure structural integrity during service life. The measurements are usually performed using ultrasonic thickness gauges and such an approach requires multiple measurements of the corroded structural components. Otherwise, the collected data are insufficient to precisely assess the corrosion degradation level. This study aims to perform numerical and experimental analyses to verify the use of guided ultrasonic waves in defining the corrosion degradation level of the corroded structural components of a ship. The study incorporates the fundamental antisymmetric Lamb mode, excited by piezoelectric transducers attached at the pre-selected points on stiffened panels, representing typical structural ship components. The specimens are exposed to accelerated marine corrosion degradation, the influence of the degree of degradation on the wave time of flight being analysed. The study indicates that guided waves are a promising approach for diagnosing corroded structural components. The signals characterised by a high signal-to-noise ratio have been captured, even for relatively long distances between the transducers. This proves that the proposed approach can be suitable for monitoring more extensive areas of ship structures by employing a single measurement.

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Section: Introductionmentioning

confidence: 99%

Guided Waves in Ship Structural Health Monitoring – A Feasibility Study

Roch,

Zima,

Woloszyk

et al. 2023

Polish Maritime Research

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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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“…Signal compensation is carried out according to the change of Lamb wave propagation distance, and the compensation signal is used to calculate the curvature of Lamb wavefield for imaging, to realize the identification of the location, size, and shape of delamination. Tian et al [13] used short-space Fourier transform to convert the wavefield signals from time-space domain to the frequency-wavenumber-space domain. Then, damage mapping can be established by relating the wavenumber distribution and structural effective thickness, to quantify the damage location, size, shape and depth.…”

Section: Introductionmentioning

confidence: 99%

Lamb wavefield-based monogenic signal processing for quantifying delamination in composite laminates

Sun

Shao²,

Song³

et al. 2022

Smart Mater. Struct.

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Delamination is one of the common damages affecting the safety of composite structures. In this paper, a Lamb wavefield-based monogenic signal processing algorithm is proposed to quantify the delamination parameters in composite laminates, including location, size, shape, and depth. A quality-guided fast phase unwrapping algorithm is developed to solve the problem of phase wrapping after Riesz transform-based monogenic signal processing. Then, space distribution of the phase of Lamb wavefield can be extracted for calculating wavenumber distribution, which is related to the structural thickness or delamination depth and can be used for delamination imaging. Simulated Lamb wavefield signals calculated by finite element simulation are employed to evaluate the parameters of delamination in composite laminates. Compared with other traditional methods, the damage identification algorithm based on Riesz transform has excellent identification effect and shorter calculation time. The results show that the algorithm can be used not only for single delamination recognition but also for multi-delamination recognition with good accuracy. In particular, the interaction between incident waves along different ply directions and delamination is explored, and its influence on delamination quantification is studied, whose results are worthy of attention in engineering application. Finally, a completely non-contact laser ultrasonic system is established to obtain the Lamb wavefield with delamination. Experiments show that the algorithm can accurately quantify the location, size, shape, and depth of delamination.

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Dispersion curve regression – assisted wideband local wavenumber analysis for characterizing three-dimensional (3D) profile of hidden corrosion damage

Cited by 29 publications

References 30 publications

Guided Waves in Ship Structural Health Monitoring – A Feasibility Study

Guided Waves in Ship Structural Health Monitoring – A Feasibility Study

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

Lamb wavefield-based monogenic signal processing for quantifying delamination in composite laminates

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