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.

Prerequisite

Structural Vibrations, Advanced Solid Mechanics, or Theory of Elasticity.

Course Objectives

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.

Course Topics

Lecture weeks (75-min per lecture)	Topics
Week 1	Motivation and objectives of structural health monitoring. Working principles of smart materials used for sensors and actuators, advanced signal processing, system integration.
Week 2-3	Piezoelectric materials (Constitutive relation, piezoelectric stack, unimorph, bi-morph, load transfer, Electromechanical coefficient, resonance/anti-resonance)
Week 4	Electrostrictive materials (Constitutive relation, sensor, actuator, figures of merit), Magnetostrictive materials (Constitutive relation, sensor, actuator, figures of merit)
Week 5	Shape Memory Alloys (Constitutive relation, transition temperatures, shape memory effect, stress-induced phase transformation, pseduoelasticity, sensor, actuator)
Week 6-7	Optical Fiber (Fiber Bragg grating, single and multi-mode fiber, strain sensing, temperature compensation, ultrasonic sensing).
Week 8	Damage Diagnostic methods based on vibrational response Method based on modal frequency/shape/damping Curvature and flexibility method Modal strain energy method Sensitivity method Baseline-free method Cross-correlation method
Week 9	Damage Diagnostic methods based on electrical impedance method Beam model Plate model
Week 10-12	Damage Diagnostic methods based on wave propagation methods Bulk waves/Lamb waves Reflection and transmission Wave tuning/mode selectivity Migration imaging Phased array imaging Focusing array/SAFT imaging
Week 13	Advanced signal processing methods Wavelet, Hilbert-Huang transform. Neural networks, Support Vector machine Principal component analysis, Outlier analysis.
Week 14	Applications of structural health monitoring in airspace including sandwich composite structures, civil infrastructures, pipelines, rotating machinery
Week 15	Course review

Course Requirements

HOMEWORK – 30%

MID-TERM EXAM – 30%

FINAL EXAM – 40%

Textbook

None.

Computer and Software Requirements

Please review minimum computer specifications recommended by NC State University and Engineering Online.

October 08/2020