Structural Health Monitoring and Prognostics for Aeronautical Structures
A special issue of Aerospace (ISSN 2226-4310). This special issue belongs to the section "Aeronautics".
Deadline for manuscript submissions: 28 February 2027 | Viewed by 32
Special Issue Editor
Interests: health monitoring of ultra-high temperature composite material structures; intelligent damage perception and failure prediction; structural strength and reliability of aero-engines; advanced high temperature composite material structural design and mechanical analysis; experimental mechanics of service environment
Special Issue Information
Dear Colleagues,
Structural health monitoring and prognosis for aerospace structures represents a critical technology for safeguarding flight safety and boosting operational efficiency. As modern aircraft evolve toward larger scales, wider adoption of composite materials, and longer service lives, damage accumulation and performance degradation under complex service environments have grown increasingly insidious, rendering conventional scheduled maintenance insufficient for real-time risk identification.
This Special Issue of Aerospace centers on cutting-edge developments and applications in intelligent sensing, data-driven modeling, and digital twin technologies. It covers the latest breakthroughs in real-time structural state sensing, accurate damage identification, and reliable remaining useful life prediction, thereby laying a scientific foundation for the shift from scheduled maintenance to predictive maintenance.
This paradigm shift is of great significance for lowering maintenance costs, extending the service life of critical aerospace structures, and ensuring aviation security. We anticipate that this Special Issue will serve as a frontier and timely academic exchange platform for scholars in this field, promoting interdisciplinary communication and integration.
Dr. Guoqiang Yu
Guest Editor
Manuscript Submission Information
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Keywords
- service environment monitoring
- remaining useful life (RUL) prediction
- damage identification digital twin
- damage self-sensing
- real-time monitoring
- on-board SHM systems
- physics-based modelling
- non-destructive evaluation
- data-driven method
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