Structural Identification Technics
Civil Engineering
Institute of Natural and Applied Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Structural Identification Technics | INS559 | Elective | Master's degree | 1 | Fall | 8 |
Name of Lecturer(s)
Prof. Dr. Kemal BEYEN
Learning Outcomes of the Course Unit
1) Structural observation systems (structural Health monitorıng). instruments, sensivity of the sensors and their responses, locations on the structure, what is observed and for what purpose?.
2) Properties of the recorded data, digital signal proccessing for the structural identification for estimating the structural dynamic characteristics and important parameters.
3) Structural identification techniques
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ||
| Learning Outcomes | ||||||||||
| 1 | High | High | Low | Middle | No relation | High | High | High | High | |
| 2 | High | High | Low | Low | No relation | High | High | High | High | |
| 3 | High | High | Low | Middle | No relation | High | High | High | High | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Advanced Structural Dynamics
Course Contents
An introduction to the fundamentals of sensor usage and signal processing, and their application to civil systems. The interpretation of the data focuses on analysis of transient signals. Considerations for digital signal processing and data analysis. Fourier Transforms, convolution and correlation. Discrete linear systems, Z tranforms. Digital processing of structural data, structural identification methods to identify the mathematical models of the physical structural systems.
Weekly Schedule
1) Historical background of system identification and structural identification.2) Introduction to Dynamical systems and models
3) System identification procedure, structural identification procedure
4) Systems and Models, Time-invariant linear systems. Impulse responses. Transfer functions.
5) Equation of motion for SDOF system, equal expression and definition in Frequency domain.
6) Structural data in signal form, spectral forms.
7) Simulaton, prediction and control.
8) Mid term exam
9) Linear models and the family of transfer functions
10) State-Space models
11) Nonparametric time and frequency domain methods
12) Model structure selection and model validation
13) Integrations, derivations and forms of the motion (Acc., Vel., D,sp.)
14) Structural identification in day practice for civil engineers and verification in FEA
15) Statistical data analysis and applications
16) Term project presentations and discussions
Recommended or Required Reading
1- Ewins DJ. Modal testing: theory and practice. Research Studies Press Ltd; 1984
2- Juang JN, Phan M, Horta LG, Longman RW. Identi?cation of observer/Kalman ?lter Markov parameters: theory and experiments. J Guidance, Control Dyn 1993;16(2):320–9.
3- Bendat JS, Piersol AG. Engineering applications of corrolation and spectral analysis. New York: John Wiley and Sons; 1980.
4- Kemal Beyen. Ders notları
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Modelling
6) Case Study
7) Self Study
8) Problem Solving
9) Project Based Learning
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required