High-Order Wave-Damage Interaction Coefficients (WDIC) Extracted through Modal Decomposition

Mei, Hanfei; Giurgiutiu, Victor

doi:10.3390/s21082749

Cited by 7 publications

(2 citation statements)

References 39 publications

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“…Establishing finite element model (FEM) is a common method to analyze guided wave modes (Yu et al, 2019; Zhao et al, 2018). Mei and Giurgiutiu (2021) used the harmonic analysis of local FEM mesh with non-reflective boundaries (NRB) to simulate the scattering and mode conversion of guided waves interacting with damage in aluminum plate. Zhu et al (2022) built a propagation model of guided waves in pipes.…”

Section: Introductionmentioning

confidence: 99%

Detection of weld defects using ultrasonic-guided waves based on matching pursuit and density peak clustering

Mao

Ren

Tang

et al. 2023

Transactions of the Institute of Measurement and Control

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Due to the fish scale surface of the weld seam, the guided wave dispersion is intensified, resulting in serious mode aliasing problem of the detected signal. It is difficult to analyze defect echo signal and locate defect accurately. To solve this problem, a new method of ultrasonic guided wave detection is proposed for weld defects based on matching pursuit and density peak clustering. First, according to the characteristics of the guided wave echo signal, a matching pursuit algorithm based on Morlet wavelet dictionary is established. The time-frequency analysis and parameter analysis of the obtained wavelet atoms are carried out to realize the modal separation and identification of the guided wave signal. Then, the similarity weight is introduced into the density peak algorithm to cluster the atoms obtained by sparse decomposition. The obtained clustering center is used to locate the weld defect. The validity of the method is proved by simulation and experiment. Finally, the experimental results show that the positioning error is 0.261% when the proposed method is used to detect the weld defects of 3-mm wide steel plate.

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Section: Introductionmentioning

confidence: 99%

Detection of weld defects using ultrasonic-guided waves based on matching pursuit and density peak clustering

Mao

Ren

Tang

et al. 2023

Transactions of the Institute of Measurement and Control

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“…To assure the integrity of in-service engineering facilities, much work has been done for the inspection of complex load-carrying structures. The occurrence of structural damage is able to threaten the safety of structures and further lead to unacceptable catastrophic consequences, calling for the development of non-destructive testing (NDT) [ 1 ] and structural health monitoring (SHM) [ 2 ]. The current state of diverse methods for NDT and SHM has been reviewed carefully in [ 3 ], among various methods ultrasonic guided wave technology has been widely utilized because of the excellent stability over long propagation and high sensitivity to damage initiation [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Multi-Mode Ultrasonic Guided Waves Based Damage Detection in L-Bars with Asymmetric Cross-Section with Sum of Multiple Signals Method

Yang

Zhang

Liu

et al. 2022

Sensors

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Bars are significant load-carrying components in engineering structures. In particular, L-bars are typical structural components commonly used in truss structures and have typical irregular asymmetric cross-sections. To ensure the safety of load-carrying bars, much research has been done for non-destructive testing (NDT). Ultrasonic guided waves have been widely applied in various NDT techniques for bars as a result of the long-range propagation, low attenuation, and high sensitivity to damages. Though good for inspection of ultrasonic guided waves in symmetric cross-section bar-like structures, the application in asymmetric ones lacks further research. Moreover, traditional damage detection in bars using ultrasonic guided waves usually depends on a single-mode at a lower frequency with lower sensitivity and accuracy. To make full use of all frequencies and modes, a multi-mode characteristic-based damage detection method is presented with the sum of multiple signals (SoM) strategy for L-bars with asymmetric cross-section. To control the desired mode in multi-mode ultrasonic guided waves, excitation optimization and weighted gathering are carried out by the analysis of the semi-analytical finite element (SAFE) method and the normal mode expansion (NME) method. An L-bar example with the asymmetric cross-section of 35 mm × 20 mm × 3 mm is used to specialize the proposed method, and some finite element (FE) models have been simulated to validate the mode control. In addition, one PZT is applied as a contrast in order to validate the multielement mode control. Then, more FE simulations experiments for damage detection have been performed to validate the damage detection method and verify the improvement in detection accuracy and damage sensitivity.

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SHM/NDE Research at the Laboratory of Active Materials and Smart Structures

Giurgiutiu

2022

Lecture Notes in Civil Engineering

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High-Order Wave-Damage Interaction Coefficients (WDIC) Extracted through Modal Decomposition

Cited by 7 publications

References 39 publications

Detection of weld defects using ultrasonic-guided waves based on matching pursuit and density peak clustering

Detection of weld defects using ultrasonic-guided waves based on matching pursuit and density peak clustering

Multi-Mode Ultrasonic Guided Waves Based Damage Detection in L-Bars with Asymmetric Cross-Section with Sum of Multiple Signals Method

SHM/NDE Research at the Laboratory of Active Materials and Smart Structures

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