New Developments in Guided Waves (GW) and Nondestructive Testing (NDT): Propagation, Design and Applications

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Engineering and Materials".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 3840

Special Issue Editors

Associate Professor, School of Reliability and Systems Engineering, Beihang University, Beijing, China
Interests: structural health monitoring; guided waves; signal processing and data fusion

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Guest Editor
Associate Professor, School of Reliability and Systems Engineering, Beihang University, Beijing, China
Interests: structural health monitoring; lamb waves; signal processing

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Guest Editor
Assistant Professor, Ningbo Institute of Technology, Beihang University, Ningbo, China
Interests: structural health monitoring system integration and validation; embedding technology; sensor/structure integration technology

Special Issue Information

Dear Colleagues,

Guided waves in thin-walled structures have generated growing interest in the nondestructive testing field over the past several decades due to their long-distance propagation capacity, cost-effective actuating and sensing, and high sensitivity to various kinds of damage. There are two groups of wave modes in plates and shell components, that is, symmetric modes and anti-symmetric modes, which are divided according to the symmetry of particle motion. The physical properties of guided-wave propagation (i.e., multimodal, dispersive, scattering, attenuation, etc.) can advantageously be used in material characterization, nondestructive evaluation, and structural health monitoring. In order to fully utilize ultrasonic guided waves for practical applications, it is necessary to have a firm grasp of their propagation characteristics, actuating and sensing methods, signal processing and diagnosis tools, and other related techniques. The present Special Issue of Symmetry seeks new findings and novel developments of guided-wave-related methods and techniques. Toward this end, we welcome the submission of articles on the following topics: theoretical modeling, simulation, measurement and signal processing, and damage visualization. Articles on other relevant topics, including smart materials, acoustic sensors, and innovative applications, are also welcome.

Dr. Fei Gao 
Dr. Jiadong Hua 
Dr. Wenhao Li 
Guest Editors

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Keywords

  • guided-wave modeling and propagation
  • acoustic sensors and sensor networks
  • advanced sensing and signal processing
  • multimodal guided-wave representation
  • feature identification and extraction
  • damage localization and imaging
  • quantitative damage evaluation

Published Papers (2 papers)

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Research

13 pages, 3524 KiB  
Article
A Two-Step Model-Based Reconstruction and Imaging Method for Baseline-Free Lamb Wave Inspection
by Hang Fan, Fei Gao, Wenhao Li and Kun Zhang
Symmetry 2023, 15(6), 1171; https://doi.org/10.3390/sym15061171 - 30 May 2023
Viewed by 846
Abstract
Traditional Lamb wave inspection and imaging methods heavily rely on prior knowledge of dispersion curves and baseline recordings, which may not be feasible in the majority of real cases due to production uncertainties and environmental variations. In order to solve this problem, a [...] Read more.
Traditional Lamb wave inspection and imaging methods heavily rely on prior knowledge of dispersion curves and baseline recordings, which may not be feasible in the majority of real cases due to production uncertainties and environmental variations. In order to solve this problem, a two-step Lamb wave strategy utilizing adaptive multiple signal classification (MUSIC) and sparse reconstruction of dispersion reconstruction is proposed. The multimodal Lamb waves are initially reconstructed in the f-k domain using random measurements, allowing for the identification and characterization of multimodal Lamb waves. Then, using local polynomial expansion and derivation, the phase and group velocities for each Lamb wave mode could be computed. Thus, the steering vectors of all potential scattering Lamb waves for each grid in the scanning area can be established, thereby allowing for the formulation of the MUSIC algorithm. To increase the precision and adaptability of the MUSIC method, the local wave components resulting from potential scatters are extracted with an adaptive window, which is governed by the group velocities and distances of Lamb wave propagation. As a result, the reconstructed dispersion relations and windowed wave components can be used to highlight the scattering features. For the method investigation, both a simulation and experiment are carried out, and both the dispersion curves and damage locations can be detected. The results demonstrate that damage localization is possible without theoretical dispersion data and baseline recordings while exhibiting a considerable accuracy and resolution. Full article
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13 pages, 5482 KiB  
Article
Defect Detection inside a Rail Head by Ultrasonic Guided Waves
by Jingsong Xie, Wenxiang Ding, Wen Zou, Tiantian Wang and Jinsong Yang
Symmetry 2022, 14(12), 2566; https://doi.org/10.3390/sym14122566 - 05 Dec 2022
Cited by 9 | Viewed by 2524
Abstract
Early detection of defects inside a rail is of great significance to ensure the safety of rail transit. This work investigated the ability of ultrasonic guided waves (UGWs) to detect internal defects in a rail head. First, the model of UGW propagation in [...] Read more.
Early detection of defects inside a rail is of great significance to ensure the safety of rail transit. This work investigated the ability of ultrasonic guided waves (UGWs) to detect internal defects in a rail head. First, the model of UGW propagation in rail, which has an irregular cross-section, was constructed based on the semi-analytical finite element (SAFE) method. Fundamental characteristics, such as wavenumber, phase or group velocity, and wave structure inside the rail, were then calculated. Following modal and vibration energy distribution analysis, a guided wave mode that is sensitive to transverse fissure (TF) defects was selected, and its excitation method was proposed. The effectiveness of the excitation method was confirmed by simulations performed in the ABAQUS software. According to the simulation data, the dispersion curve calculated by using the two-dimensional Fourier fast transform (2D-FFT) coincided well with that of the SAFE method. After that, the sensitivity of the selected mode to internal rail defects was validated and its ability to locate defects was also demonstrated. Finally, the effects of excitation frequency, defect size, and vertical and horizontal defect depth on the reflection waveforms were investigated. Full article
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