Eleni Chatzi: Katalogdaten im Frühjahrssemester 2018

NameFrau Prof. Dr. Eleni Chatzi
LehrgebietStrukturmechanik und Monitoring
Adresse
Inst. f. Baustatik u. Konstruktion
ETH Zürich, HIL E 33.3
Stefano-Franscini-Platz 5
8093 Zürich
SWITZERLAND
Telefon+41 44 633 67 55
Fax+41 44 633 10 64
E-Mailchatzi@ibk.baug.ethz.ch
URLhttp://www.chatzi.ibk.ethz.ch/
DepartementBau, Umwelt und Geomatik
BeziehungAusserordentliche Professorin

NummerTitelECTSUmfangDozierende
101-0008-00LIdentification Methods for Structural Systems Information
Findet dieses Semester nicht statt.
3 KP2GE. Chatzi, V. Ntertimanis
KurzbeschreibungThis course will present methodologies for defining a structural system, and assessing its condition based on structural response data. This data is made available via measurements, which are nowadays available from low-cost and easily deployed sensor technologies. The course will explain how engineers may exploit technology for designing and maintaining a safe and resilient infrastructure.
LernzielThis course aims at providing a graduate level introduction into the modeling and identification of structural systems. The goal is to establish relationships governing the system behavior and to identify the characteristics (mechanical, geometrical properties) of the system itself, based on noisy or incomplete measurements of the structural response.

The course will include theory, as well as laboratory and actual-scale structural testing, thereby offering a well-rounded overview of the ways in which we may extract response data from structures.
InhaltThe topics to be covered are :

- Fundamentals of vibrational analysis, signal processing and structural system representation

- Modal Testing, Operational Modal Analysis

- Parametric & Nonparametric Identification: Frequency Domain decomposition, Least Squares methods, ARMA models, Bayesian approaches.

- Heuristic methods: Genetic Algorithms, Neural Networks.

The differences between linear and nonlinear system identification will also be addressed.

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

Grading:
The final grade will be obtained, either
- by 30% from the graded exercises and 70% from the written session examination, or
- by the written session examination exclusively.
The highest ranking of the above two options will be used, so that assignments are only used to strengthen the grade.
SkriptThe course script is composed by the lecture slides, which are available online and will be continuously updated throughout the duration of the course: http://www.chatzi.ibk.ethz.ch/education/identification-methods-for-structural-systems.html
LiteraturSuggested Reading:
T. Söderström and P. Stoica: System Identification, Prentice Hall International: http://user.it.uu.se/~ts/sysidbook.pdf
101-0114-00LBaustatik II Information 5 KP4GE. Chatzi
KurzbeschreibungStatisch unbestimmte Stabtragwerke (Verformungsmethode), Einflusslinien, Elastisch-plastische Systeme, Traglastverfahren (statische und kinematische Methode), Stabilitätsprobleme.
LernzielBeherrschen der Methoden zur Berechnung statisch unbestimmter Stabtragwerke
Erweiterung des Verständnisses des Tragverhaltens von Stabtragwerken unter Einbezug nichtlinearer Effekte
Fähigkeit, Resultate numerischer Berechnungen vernünftig zu interpretieren und zu kontrollieren
InhaltLineare Statik der Stabtragwerke
Verformungsmethode
Matrizenstatik

Nichtlineare Statik der Stabtragwerke
Elastisch-plastische Systeme
Traglastverfahren
Stabilitätsprobleme
LiteraturSimon Zweidler, "Baustatik II", 2017.
Peter Marti, "Baustatik", Wilhelm Ernst & Sohn, Berlin, 2012, 683 pp.
Voraussetzungen / BesonderesVoraussetzung: "Baustatik I"
101-0158-01LMethod of Finite Elements I4 KP2GE. Chatzi, P. Steffen
KurzbeschreibungThis course will introduce students to the fundamental concepts of the widely established Method of Finite Elements including element formulations, numerical solution procedures and modelling details. The course will also equip students with the ability to code algorithms (largely based on MATLAB) for the solution of practical problems in Infrastructure and Civil engineering.
LernzielThe Direct Stiffness Method is revisited and the basic principles of Matrix Structural Analysis are overviewed.
The basic theoretical concepts of the Method of Finite Elements are imparted and perspectives for problem solving procedures are provided.
Linear finite element models for truss and continuum elements are introduced and their application for structural elements is demonstrated.
The Method of Finite Elements is implemented on practical problems through accompanying demonstrations and assignments.
Inhalt1) Introductory Concepts
Matrices and linear algebra - short review.

2) The Direct Stiffness Method
Demos and exercises in MATLAB & Commercial FE software

3) Formulation of the Method of Finite Elements.
- The Principle of Virtual Work
- Isoparametric formulations
- 1D Elements (truss, beam)
- 2D Elements (plane stress/strain)
Demos and exercises in MATLAB & Commercial FE software

4) Practical application of the Method of Finite Elements.
- Practical Considerations
- Results Interpretation
- Final Project where a Real Test Case is modelled and analyzed
SkriptThe lecture notes are in the form of slides, available online from the course webpage
LiteraturBathe, K.J., Finite Element Procedures, Prentice Hall, 1996.
Voraussetzungen / BesonderesPrior knowledge of MATLAB is not necessary, but as the course develops the students are expected to actively engage in the coding of basic scripts.
101-0190-08LUncertainty Quantification and Data Analysis in Applied Sciences Information
The course should be open to doctoral students from within ETH and UZH who work in the field of Computational Science. External graduate students and other auditors will be allowed by permission of the instructors.
3 KP4GE. Chatzi, P. Chatzidoukas, P. Koumoutsakos, S. Marelli, V. Ntertimanis, K. Papadimitriou, B. Sudret
KurzbeschreibungThe course presents fundamental concepts and advanced methodologies for handling and interpreting data in relation with models. It elaborates on methods and tools for identifying, quantifying and propagating uncertainty through models of systems with applications in various fields of Engineering and Applied science.
LernzielThe course is offered as part of the Computational Science Zurich (CSZ) (http://www.zhcs.ch/) graduate program, a joint initiative between ETH Zürich and University of Zürich. This CSZ Block Course aims at providing a graduate level introduction into probabilistic modeling and identification of engineering systems.
Along with fundamentals of probabilistic and dynamic system analysis, advanced methods and tools will be introduced for surrogate and reduced order models, sensitivity and failure analysis, parallel processing, uncertainty quantification and propagation, system identification, nonlinear and non-stationary system analysis.
InhaltThe topics to be covered are in three broad categories, with a detailed outline available online (see Learning Materials).
Track 1: Uncertainty Quantification and Rare Event Estimation in Engineering, offered by the Chair of Risk, Safety and Uncertainty Quantification, ETH Zurich (20 hours)
Lecturers: Prof. Dr. Bruno Sudret, Dr. Stefano Marelli
Track 2: Bayesian Inference and Uncertainty Propagation, offered the by the System Dynamics Laboratory, University of Thessaly, and the Chair of Computational Science, ETH Zurich (20 hours)
Lecturers: Prof. Dr. Costas Papadimitriou, Dr. Panagiotis Hadjidoukas, Prof. Dr. Petros Koumoutsakos
Track 3: Data-driven Identification and Simulation of Dynamic Systems, offered the by the Chair of Structural Mechanics, ETH Zurich (20 hours)
Lecturers: Prof. Dr. Eleni Chatzi, Dr. Vasilis Dertimanis.
The lectures will be complemented via a comprehensive series of interactive Tutorials will take place.
SkriptThe course script is composed by the lecture slides, which will be continuously updated throughout the duration of the course on the CSZ website.
LiteraturSuggested Reading:
Track 2 : E.T. Jaynes: Probability Theory: The logic of Science
Track 3: T. Söderström and P. Stoica: System Identification, Prentice Hall International, Link see Learning Materials.
Xiu, D. (2010) Numerical methods for stochastic computations - A spectral method approach, Princeton University press.
Smith, R. (2014) Uncertainty Quantification: Theory, Implementation and Applications SIAM Computational Science and Engineering,
Lemaire, M. (2009) Structural reliability, Wiley.
Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M. & Tarantola, S. (2008) Global Sensitivity Analysis - The Primer, Wiley.
Voraussetzungen / BesonderesIntroductory course on probability theory
Fair command on Matlab
101-1187-00LKolloquium Baustatik und Konstruktion0 KP2KB. Stojadinovic, E. Chatzi, M. Fontana, A. Frangi, W. Kaufmann, B. Sudret, T. Vogel
KurzbeschreibungDas Institut für Baustatik und Konstruktion (IBK) lädt Professoren in- und ausländischer Hochschulen, Fachleute aus Praxis & Industrie oder wissenschaftliche Mitarbeiter des Institutes als Referenten ein. Das Kolloquium richtet sich sowohl an Studierende und weitere Hochschulangehörige, als auch an Ingenieure aus der Praxis.
LernzielNeue Forschungsergebnisse aus dem Fachbereich Baustatik und Konstruktion kennen lernen.