ST4013 Structural Health Monitoring Syllabus:
ST4013 Structural Health Monitoring Syllabus – Anna University PG Syllabus Regulation 2021
OBJECTIVE:
To make the students familiar with various structural health monitoring tools and techniques.
UNIT I INTRODUCTION TO STRUCTURAL HEALTH MONITORING
Need for SHM, Structural Health Monitoring versus Non-Destructive Evaluation, Methods of SHM Local & Global Techniques for SHM, Short & Long-Term Monitoring, Active & Passive Monitoring, Remote Structural Health Monitoring- Advantages of SHM – Challenges in SHM
UNIT II SENSORS AND INSTRUMENTATION FOR SHM
Sensors for measurements: Electrical Resistance Strain Gages, Vibrating Wire Strain Gauges, Fiber Optic Sensors, Temperature Sensors, Accelerometers, Displacement Transducers, Load Cells, Humidity Sensors, Crack Propagation Measuring Sensors, Corrosion Monitoring Sensors, Pressure Sensors, Data Acquisition – Data Transmission – Data Processing – Storage of processed data – Knowledgeable information processing
UNIT III STATIC AND DYNAMIC MEASUREMENT TECHNIQUES FOR SHM
Static measurement – Load test, Concrete core trepanning, Flat jack techniques, Static response measurement, Dynamic measurement -Vibration based testing- Ambient Excitation methods, Measured forced Vibration-Impact excitation, step relaxation test, shaker excitation method.
UNIT IV DAMAGE DETECTION
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, 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
UNIT V DATA PROCESSING AND CASE STUDIES
Advanced signal processing methods -Wavelet, Hilbert-Huang transform, Neural networks, Support Vector Machine Principal component analysis, Outlier analysis. Applications of SHM on bridges and buildings, case studies of SHM in Civil/ Structural engineering.
OUTCOMES:
On completion of this course, the student is expected to be able to
CO1 Understand the need, advantages and challenges of SHM
CO2 Know the different types of sensors and instrumentation techniques
CO3 Gain knowledge of the static and dynamic measurement techniques
CO4 Compare the various damage detection techniques
CO5 Know the various data processing methods through case studies
REFERENCES
1. Daniel Balageas, Peter Fritzen, Alfredo Guemes, Structural Health Monitoring, John Wiley & Sons,2006.
2. Douglas E Adams, Health Monitoring of Structural Materials and Components Methods with Applications, Wiley Publishers, 2007
3. Hua-Peng Chen, Structural Health Monitoring of Large Civil Engineering Structures, Wiley Publishers, 2018
4. Ansari, F Karbhari, Structural health monitoring of civil infrastructure systems, V.M,Woodhead Publishing, 2009
5. J. P. Ou, H. Li and Z. D, “Duan Structural Health Monitoring and Intelligent Infrastructure”, Vol1, Taylor and Francis Group, London, UK, 2006.
6. Victor Giurglutiu, “Structural Health Monitoring with Wafer Active Sensors”, Academic Press Inc, 2007.