Structural Health Monitoring (SHM) in Aerospace Structures

Professor Yuan is an internationally renowned expert in the field of structural health monitoring, fracture and life prediction of advanced materials and structures, smart materials and structures, and damage tolerance of composite structures. His research is leading to the development of advanced structural health monitoring systems that will fundamentally impact future design and maintenance of large and complex aerospace, mechanical, and civil structures. These systems will reduce maintenance costs and increase asset availability and extend remaining useful life of structures, such as aircraft and bridges, by providing accurate measurement and prediction of damage and degradation at early stages. He brings more than two decades of experience collaborating with NASA Langley Research Center scientists and engineers to his new role as Langley Professor. His research has played a major role toward the advancement of structural health monitoring systems and the understanding of damage tolerance of composite materials and structures.

• Part One: SHM Technologies for Damage Detection, Diagnosis and Prognosis in Aerospace Structures: Application and Efficient Use1. Integrated Vehicle Health Management (IVHM)2. A Novel Approach for Implementing Structural Health Monitoring Systems for Aerospace StructuresPart Two: Smart Materials for SHM in Aerospace Structures3. Piezoelectric Materials for SHM in Aerospace Structures4. Electroactive Polymers for SHM in Aerospace Structures5. Using Optical Fibers for Ultrasonic Damage Detection in Aerospace Structures6. Flexoelectricity in Aerospace Structures7. Energy Harvesting using Piezoelectric Materials in Aerospace Structures8. Diamagnetically Levitated Vibration Energy Harvester in Aerospace StructuresPart Three: Innovative SHM Technologies for Damage Diagnosis in Aerospace Structures9. Array Imaging with Guided Waves under Variable Environmental Conditions10. Phase Array Techniques for Damage Detection in Aerospace Structures11. Defect detection, classification and sizing using ultrasound12. Non-contact Laser Ultrasonics for SHM in Aerospace Structures13. Nonlinear Ultrasonics for Health Monitoring of Aerospace Structures using Active Sparse Sensor Networks14. Space-Wavenumber and Time-Frequency Analyses for Vibration- and Wave-based Damage DiagnosisPart Four: Innovative SHM Technologies for Damage Prognosis in Aerospace Structures15. Fatigue damage diagnosis and prognosis using EMI technique16. An Energy-based Prognostic Framework to Predict Evolution of Damage