Innovative Methods for Structural Health Monitoring of Metallic Mechanical Components
A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Structural Integrity of Metals".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 3
Special Issue Editors
Interests: non-destructive evaluation; materials; components; sensors; vehicles
Interests: surface engineering; plasma nitriding; plasma carburizing; expanded austenite; expanded ferrite; expanded martensite
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The structural integrity of metallic components plays a pivotal role in the performance, safety, and longevity of mechanical systems across numerous industries, including aerospace, automotive, energy, and manufacturing. In recent years, the demand for more resilient, lightweight, and high-performance materials—ranging from conventional metallic alloys to advanced composites with metallic constituents—has catalyzed the need for innovative monitoring strategies. Traditional non-destructive testing techniques, while well established, face increasing limitations in capturing real-time, high-resolution data under complex service conditions. This growing challenge calls for the development and implementation of next-generation Structural Health Monitoring (SHM) methodologies tailored for metallic-based materials and components.
This Special Issue aims to showcase the latest advances in SHM technologies and techniques that enhance the reliability, accuracy, and applicability of structural monitoring in metallic systems. By bringing together cutting-edge research, case studies, and applied methodologies, we hope to foster interdisciplinary dialog and accelerate the adoption of intelligent monitoring solutions.
We welcome original research articles and review papers related to (but not limited to) the following:
- Novel sensing technologies (e.g., fiber optics, piezoelectric sensors, acoustic emission, contact and non-contact monitoring devices at any stage of development);
- Data-driven diagnostics and machine learning for SHM;
- Laser ultrasonics and vibrometry-based monitoring;
- Integrated SHM in smart materials and hybrid metallic composites;
- Prognostics and lifetime prediction models;
- Experimental validation and real-world industrial applications.
Dr. Michelangelo S. Gulino
Dr. Francesca Borgioli
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- structural diagnostics
- non-destructive evaluation
- fatigue damage detection
- real-time monitoring
- embedded sensor networks
- data fusion techniques
- vibration-based assessment
- AI-driven condition monitoring
- in situ inspection methods
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