Application of Acoustics as a Structural Health Monitoring Technology
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".
Deadline for manuscript submissions: 20 August 2025 | Viewed by 761
Special Issue Editors
Interests: condition monitoring; structural health monitoring; acoustics, and vibration
Special Issue Information
Dear Colleagues,
Acoustics plays a pivotal role in the evolving field of structural health monitoring (SHM), offering robost methods for the real-time and intermittent assessment of materials, structures, and machinery. Techniques such as sound, acoustic emission, ultrasonics, acousto-ultrasonics, and guided waves are essential in civil engineering, aerospace, automotive, energy, and manufacturing industries, amongst others. These technologies allow for early fault detection, reducing the need for expensive manual inspections while enhancing reliability and safety.
We invite contributions that examine advancements in acoustics for SHM, including the integration of machine learning, data processing algorithms, and new acoustic sensor technologies. Topics of interest include, but are not limited to, the following:
- Acoustic methods (sound, acoustic emission, ultrasonics, acousto-ultrasonics, guided waves, etc.) for SHM;
- Integration of artificial intelligence (AI) and machine learning with acoustic-based SHM;
- Real-time data processing and signal interpretation;
- Case studies in civil, aerospace, automotive, energy, manufacturing sectors, etc.;
- Hybrid systems combining acoustics with other SHM technologies;
- Advances in acoustic sensor technologies for SHM;
- Challenges of applying acoustics in complex environments;
- Sustainability and cost-effectiveness of acoustics-based SHM;
- Future trends in acoustic-based SHM applications.
We encourage original research articles, reviews, and case studies that advance the application of acoustics in SHM.
Dr. Gbanaibolou Jombo
Dr. Yu (Eve) Zhang
Guest Editors
Manuscript Submission Information
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Keywords
- sound
- acoustic emission
- ultrasonics
- acousto-ultrasonics
- guided waves
- machine learning
- artificial intelligence
- sensor technologies
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