Structural Identification & Health Monitoring
Spring Semester 2023
This course will present methods for structural identification and health monitoring. We show how to exploit measurements of structural response (e.g. strains, deflections, accelerations) for evaluating structural condition, with the purpose of maintaining a safe and resilient infrastructure.
Lecturers Teaching Assistants
Prof. Dr. Eleni Chatzi Kyriakos Chondrogiannis
Date/Location
Wednesday 15:45-17:30 / HIL E 6
*The course is not offered in hybrid form. Attendance is in person, with recordings made available only as a learning material.
Course book
In class notes - posted lecture slides
General Information
Grading
- This course offers optional homework as learning tasks, which can improve the grade of the end-of-semester examination up to 0.25 grade points (bonus).
- The learning tasks will be taken into account if all 3 homeworks are submitted. The maximum grade of 6 can also be achieved by sitting the final examination only.
Moodle
This term we will be using Moodle for class discussion. The system is highly catered to getting you help fast and efficiently from classmates, the TA, and instructors. We encourage you to post your questions on the Moodle Q&A Forum.
Lecture Plan
Supplementary Material
Suggested Reading
Useful Links on MATLAB Programming Environment
- external page MATLAB Cheat Sheet
- Download An Introduction to MATLAB (PDF, 240 KB)
- external page 2h self-paced online introduction course for MATLAB
- external page 20h MATLAB fundamentals course
- external page Using The Live Editor
- external page E-Book: "Essential MATLAB for Engineers and Scientists, 8th edition"
- external page Numerical Computing with MATLAB