Application of Nondestructive Testing in the Structural Health Monitoring of Industrial Materials
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Materials Science and Engineering".
Deadline for manuscript submissions: 20 January 2026 | Viewed by 43
Special Issue Editors
Interests: nondestructive testing; signal processing; pulse compression; spintronics
Special Issues, Collections and Topics in MDPI journals
Interests: physical–mathematical models for magnetorheological fluids; thermodynamic theories for fluids; rheological models for biological fluids; nonlinear waves propagation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nondestructive testing (NDT) and structural health monitoring (SHM) are critical for ensuring the integrity, safety, and longevity of industrial materials across sectors such as aerospace, energy, and manufacturing. As aging infrastructure and complex engineering systems demand proactive maintenance, NDT techniques (e.g., ultrasonic testing, thermography, and eddy currents) enable the early detection of defects without compromising material performance. Meanwhile, SHM integrates sensor networks, data analytics, and AI to continuously assess structural conditions, reducing downtime and operational risks. This research area bridges materials science, mechanical engineering, and digital innovation, addressing global challenges in sustainability, safety, and cost efficiency.
We are pleased to invite you to contribute to this Special Issue. This Special Issue seeks to showcase cutting-edge advancements that enhance the reliability and resilience of industrial assets.
This Special Issue aims to foster interdisciplinary dialog by highlighting novel NDT methodologies, SHM systems, and real-world applications. Contributions should emphasize technical innovation, validation using case studies, and alignment with industry standards.
In this Special Issue, original research articles and reviews are welcome. The main focus of the articles includes, but not strictly limited to, the following areas:
- Advanced NDT techniques for defect characterization (e.g., phased array ultrasonics, infrared thermography);
- IoT-enabled SHM systems for real-time structural assessments;
- Machine learning and AI in NDT data interpretation;
- Hybrid SHM approaches combining NDT and sensor networks;
- Digital twins for the predictive maintenance of industrial components;
- NDT for composite materials and additive manufacturing;
- Standardization and certification in industrial SHM.
Prof. Pietro Burrascano
Dr. Mario Versaci
Guest Editors
Manuscript Submission Information
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Keywords
- nondestructive testing (NDT)
- structural health monitoring (SHM)
- industrial materials
- machine learning for NDT
- IoT in SHM
- composite materials
- digital twins in SHM
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