Dr. Fuh-Gwo Yuan
Mechanical and Aerospace Engineering
MAE 787 Structural Health Monitoring
3 Credit Hours
The course will provide the students with in-depth knowledge of technologies in structural health monitoring using smart materials as sensing and actuating elements to interrogate the structures. Damage detection techniques such as wave, impedance, and vibration-based damage detection techniques will be discussed and applied to different types of structures. , Advanced signal processing techniques such as wavelet, neural network, principal component analysis will be used to make the damage more quantifiable.
Structural Vibrations, Advanced Solid Mechanics, or Theory of Elasticity.
By the end of the course, the students will be able to:
- Implement fundamental concepts in structural health monitoring,
- Demonstrate understanding of working principles of sensors and actuators made from smart materials,
- Describe and classify various diagnostic methods of structural health monitoring, with their associated advantages and disadvantages,
- Select a viable structural health monitoring methodology for a given application based on available technology,
- Describe the historical and current real-world applications of damage identification in the aerospace, civil, and mechanical engineering fields.
HOMEWORK – 30%
MID-TERM EXAM – 30%
FINAL EXAM – 40%
Computer and Software Requirements
Please review minimum computer specifications recommended by NC State University and Engineering Online.