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High Resolution Ultrasonic Non-Destructive Testing of Complex Structures

Submission Deadline: 10 July 2026 View: 343 Submit to Special Issue

Guest Editors

Dr. Guopeng Fan

Email: phdfanry@sues.edu.cn

Affiliation: School of Urban Railway Transportation, Shanghai University of Engineering Science, Shanghai 201620, China

Homepage:

Research Interests: ultrasonic nondestructive testing, ultrasonic imaging, ultrasonic phased array, acoustic signal processing, guided waves, Lamb waves, damage detection, inverse scattering

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Dr. Dongdong Chen

Email: chendongjt@163.com

Affiliation: School of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China

Homepage:

Research Interests: piezocramic materials, ultrasonic sensing, ultrasonic imaging, acoustic signal processing, wave propagation

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Dr. Mounir Tafkirte

Email: mounir.tafkirte@edu.uiz.ac.ma

Affiliation: Laboratory of Metrology and Information Processing, Faculty of Science, Ibn Zohr University, Kenitra 14000, Morocco

Homepage:

Research Interests: ultrasonic non-destructive testing, ultrasonic imaging, acoustic signal processing, longitudinal wave propagation, granular and stratified materials, wave–material interaction, modeling and simulation

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Summary

The ultrasonic detection technique is a very promising method for non-destructive testing (NDT) and structural health monitoring (SHM). Ultrasonic imaging is a key method for characterizing damages in complex structures (such as concretes, composites, and rails). Phased array ultrasonic testing (PAUT) has significant advantages in beam control, dynamic focusing, and visualization imaging. Ultrasonic guided waves (UGW) can be used for long-distance and large-scale monitoring of structures (such as pipelines, rails, and composites). Air coupled ultrasonic testing (ACUT) does not require liquid coupling or direct contact with the test object, making it a promising technology in the detection of sensitive materials (such as aerospace composites). Shear wave imaging based on dry point contact (DPC) ultrasonic sensors is widely used for detecting defects in concrete structures. Ultrasonic wavefield imaging (UWI) utilizes full field ultrasound measurements and advanced reconstruction algorithms to provide comprehensive spatial and temporal visualizations of the interaction between waves and defects. Laser ultrasonic testing can achieve a non-contact, high spatiotemporal resolution detection of structural surface defects. This Special Issue aims to provide highlight new research on the recent advances, technologies, solutions, applications in the field of ultrasonic sensors for SHM. Specific topics of interest include, but are not limited to, the following key areas:
- High resolution ultrasonic imaging of complex structures
- Ultrasonic NDT of concrete structures
- Ultrasonic NDT of composites
- Ultrasonic NDT of railway infrastructures
- Ultrasonic phased array for defect detection
- Ultrasound image reconstruction based on deep learning
- Wave–material interaction
- Integration of artificial intelligence (AI) with acoustic-based SHM


Keywords

ultrasonic detection, ultrasonic guided waves, ultrasonic imaging, ultrasonic phased array, defect detection, acoustic-based SHM, deep learning, artificial intelligence

Published Papers


  • Open Access

    ARTICLE

    Ultrasonic Defect Localization Correction Method under the Influence of Non-Uniform Temperature Field

    Jianhua Du, Shaofeng Wang, Ting Gao, Huiwen Sun, Wenjing Liu
    Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2025.071189
    (This article belongs to the Special Issue: High Resolution Ultrasonic Non-Destructive Testing of Complex Structures)
    Abstract In ultrasonic non-destructive testing of high-temperature industrial equipment, sound velocity drift induced by non-uniform temperature fields can severely compromise defect localization accuracy. Conventional approaches that rely on room-temperature sound velocities introduce systematic errors, potentially leading to misjudgment of safety-critical components. Two primary challenges hinder current methods: first, it is difficult to monitor real-time changes in sound velocity distribution within a thermal gradient; second, traditional uniform-temperature correction models fail to capture the nonlinear dependence of material properties on temperature and their effect on ultrasonic velocity fields. Here, we propose a defect localization correction method based on… More >

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