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Engineering Online

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)TopicsWeek 1Motivation and objectives of structural health monitoring. Working principles of smart materials used for sensors and actuators, advanced signal processing, system integration.Week 2-3Piezoelectric materials (Constitutive relation, piezoelectric stack, unimorph, bi-morph, load transfer, Electromechanical coefficient, resonance/anti-resonance)Week 4Electrostrictive materials (Constitutive relation, sensor, actuator, figures of merit), Magnetostrictive materials (Constitutive relation, sensor, actuator, figures of merit)Week 5Shape Memory Alloys (Constitutive relation, transition temperatures, shape memory effect, stress-induced phase transformation, pseduoelasticity, sensor, actuator)Week 6-7Optical Fiber (Fiber Bragg grating, single and multi-mode fiber, strain sensing, temperature compensation, ultrasonic sensing).Week 8Damage Diagnostic methods based on vibrational responseMethod based on modal frequency/shape/dampingCurvature and flexibility methodModal strain energy methodSensitivity methodBaseline-free methodCross-correlation methodWeek 9Damage Diagnostic methods based on electrical impedance methodBeam modelPlate modelWeek 10-12Damage Diagnostic methods based on wave propagation methodsBulk waves/Lamb wavesReflection and transmissionWave tuning/mode selectivityMigration imagingPhased array imagingFocusing array/SAFT imagingWeek 13Advanced signal processing methodsWavelet, Hilbert-Huang transform.Neural networks, Support Vector machinePrincipal component analysis, Outlier analysis.Week 14Applications of structural health monitoring in airspace including sandwich composite structures, civil infrastructures, pipelines, rotating machineryWeek 15Course review

Course Requirements

HOMEWORK – 30%

MID-TERM EXAM – 30%

FINAL EXAM – 40%

Textbook

None.

October 08/2020