Eleni Chatzi: Catalogue data in Spring Semester 2018 |
| Name | Prof. Dr. Eleni Chatzi |
| Field | Structural Mechanics and Monitoring |
| Address | Inst. f. Baustatik u. Konstruktion ETH Zürich, HIL E 33.3 Stefano-Franscini-Platz 5 8093 Zürich SWITZERLAND |
| Telephone | +41 44 633 67 55 |
| Fax | +41 44 633 10 64 |
| chatzi@ibk.baug.ethz.ch | |
| URL | http://www.chatzi.ibk.ethz.ch/ |
| Department | Civil, Environmental and Geomatic Engineering |
| Relationship | Associate Professor |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 101-0008-00L | Identification Methods for Structural Systems  Does not take place this semester. | 3 credits | 2G | E. Chatzi, V. Ntertimanis | |
| Abstract | This 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. | ||||
| Objective | This 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. | ||||
| Content | The 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. | ||||
| Lecture notes | The 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 | ||||
| Literature | Suggested Reading: T. Söderström and P. Stoica: System Identification, Prentice Hall International: http://user.it.uu.se/~ts/sysidbook.pdf | ||||
| 101-0114-00L | Theory of Structures II | 5 credits | 4G | E. Chatzi | |
| Abstract | Statically indeterminate Systems (displacement method), influence lines, elastic-plastic systems, limit analysis (static and kinematic method), elastic stability. | ||||
| Objective | Mastering the methods of analysis for statically indeterminate beam and frame structures Extending the understanding of the response of beam and frame structures by accounting for nonlinear effects Ability to reasonably interpret and check the results of numerical analyses | ||||
| Content | Linear analysis of beam and frame structures Force (flexibility) method Displacement (stiffness) method Matrix analysis Nonlinear analysis of beam and frame structures Elastic - plastic systems Limit analysis Elastic stability | ||||
| Literature | Simon Zweidler, "Baustatik II", 2017. Peter Marti, "Theory of Structures", Wiley, 2013, 679 pp. | ||||
| Prerequisites / Notice | Prerequisite: "Theory of Structures I" | ||||
| 101-0158-01L | Method of Finite Elements I | 4 credits | 2G | E. Chatzi, P. Steffen | |
| Abstract | This 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. | ||||
| Objective | The 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. | ||||
| Content | 1) 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 | ||||
| Lecture notes | The lecture notes are in the form of slides, available online from the course webpage | ||||
| Literature | Bathe, K.J., Finite Element Procedures, Prentice Hall, 1996. | ||||
| Prerequisites / Notice | Prior knowledge of MATLAB is not necessary, but as the course develops the students are expected to actively engage in the coding of basic scripts. | ||||
| 101-0190-08L | Uncertainty Quantification and Data Analysis in Applied Sciences 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 credits | 4G | E. Chatzi, P. Chatzidoukas, P. Koumoutsakos, S. Marelli, V. Ntertimanis, K. Papadimitriou, B. Sudret | |
| Abstract | The 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. | ||||
| Objective | The 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. | ||||
| Content | The 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. | ||||
| Lecture notes | The course script is composed by the lecture slides, which will be continuously updated throughout the duration of the course on the CSZ website. | ||||
| Literature | Suggested 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. | ||||
| Prerequisites / Notice | Introductory course on probability theory Fair command on Matlab | ||||
| 101-1187-00L | Colloquium "Structural Engineering" | 0 credits | 2K | B. Stojadinovic, E. Chatzi, M. Fontana, A. Frangi, W. Kaufmann, B. Sudret, T. Vogel | |
| Abstract | Professors from national and international universities, technical experts from private industry as well as research associates of the Institute of Structural Engineering (IBK) are invited to present recent research results and specific projects. The colloquium is addressed to students, academics as well as practicing engineers. | ||||
| Objective | Become acquainted with recent research results in structural engineering. | ||||