Vasileios Ntertimanis: Catalogue data in Spring Semester 2021

Name Dr. Vasileios Ntertimanis
Strukturmechanik und Monitoring
ETH Zürich, HIT G 42.2
Wolfgang-Pauli-Str. 27
8093 Zürich
Telephone+41 44 633 79 45
DepartmentCivil, Environmental and Geomatic Engineering

101-0008-00LStructural Identification and Health Monitoring3 credits2GE. Chatzi, V. Ntertimanis
AbstractThis 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.
ObjectiveThis course aims at providing a graduate level introduction into the identification and condition assessment of structural systems.

Upon completion of the course, the students will be able to:
1. Test Structural Systems for assessing their condition, as this is expressed through measurements of dynamic response.
2. Analyse vibration signals for identifying characteristic structural properties, such as frequencies, mode shapes and damping, based on noisy measurements of the structural response.
3. Formulate structural equations in the time and frequency domain
4. Identify possible damage into the structure by picking up statistical changes in the structural behavior
ContentThe course will include theory and algorithms for system identification, programming assignments, as well as laboratory and field testing, thereby offering a well-rounded overview of the ways in which we may extract response data from structures.

The topics to be covered are :

1. Elements of Vibration Theory
2. Transform Domain Methods
3. Digital Signals (P
4. Nonparametric Identification for processing test and measurement data
(transient, correlation, spectral analysis)
5. Parametric Identification (time series analysis, transfer functions)

A series of computer/lab exercises and in-class demonstrations will take place, providing a "hands-on" feel for the course topics.

- 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.
Lecture notesThe course script is composed by the lecture slides, which are available online and will be continuously updated throughout the duration of the course:
LiteratureSuggested Reading:
T. Söderström and P. Stoica: System Identification, Prentice Hall International:
Prerequisites / NoticeFamiliarity with MATLAB is advised.