Eleni Chatzi: Catalogue data in Spring Semester 2020

Name Prof. Dr. Eleni Chatzi
FieldStructural Mechanics and Monitoring
Inst. f. Baustatik u. Konstruktion
ETH Zürich, HIL E 33.3
Stefano-Franscini-Platz 5
8093 Zürich
Telephone+41 44 633 67 55
Fax+41 44 633 10 64
DepartmentCivil, Environmental and Geomatic Engineering
RelationshipAssociate Professor

101-0008-00LStructural Identification and Health Monitoring3 credits2GE. Chatzi, V. Ntertimanis
AbstractThis course will present methods for assessing the condition of structures based on monitoring. The term "monitoring" corresponds to measurements of structural response (e.g. strains, deflections, accelerations), which are nowadays available from low-cost and easily deployed sensor technologies. We show how to exploit sensing technology for 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 stiffness
2. Analyse sensor signals for identifying characteristic structural properties, such as frequencies, mode shapes and damping, based on noisy or incomplete measurements of the structural response.
3. Establish relationships governing structural response (e.g. dynamics equations)
4. Identify possible damage into the structure by picking up statistical changes in the structural "signature" (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. Fundamentals of dynamic analysis (vibrations)
2. Fundamentals of signal processing
3. Modal Testing for determining the modal properties of Structural Systems
4. Parametric & Nonparametric Identification for processing test and measurement data
i) in the frequency domain (Spectral Analysis, Frequency Domain decomposition)
ii) in the time domain (Autoregressive models, the Kalman Filter)
5. Damage Detection via Stochastic Methods

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

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 notesThe 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
LiteratureSuggested Reading:
T. Söderström and P. Stoica: System Identification, Prentice Hall International: http://user.it.uu.se/~ts/sysidbook.pdf
Prerequisites / NoticeFamiliarity with MATLAB is advised.
101-0114-00LTheory of Structures II Information 5 credits5GE. Chatzi
AbstractStatically indeterminate Systems (displacement method), influence lines, elastic-plastic systems, limit analysis (static and kinematic method), elastic stability.
ObjectiveMastering 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
ContentLinear 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
LiteratureSimon Zweidler, "Baustatik II", 2017.
Peter Marti, "Theory of Structures", Wiley, 2013, 679 pp.
Prerequisites / NoticePrerequisite: "Theory of Structures I"
101-0158-01LMethod of Finite Elements I4 credits2GE. Chatzi, P. Steffen
AbstractThis 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.
ObjectiveThe 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.
Content1) 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 notesThe lecture notes are in the form of slides, available online from the course webpage
LiteratureStructural Analysis with the Finite Element Method: Linear Statics, Vol. 1 & Vol. 2 by Eugenio Onate (available online via the ETH Library)

Supplemental Reading
Bathe, K.J., Finite Element Procedures, Prentice Hall, 1996.
Prerequisites / NoticePrior basic knowledge of MATLAB is necessary.
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 credits4GE. Chatzi, P. Koumoutsakos, S. Marelli, V. Ntertimanis, K. Papadimitriou
AbstractThe 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.
ObjectiveThe 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.
ContentThe 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 (18 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 (18 hours)
Lecturers: Prof. Dr. Costas Papadimitriou, Dr. Georgios Arampatzis, Prof. Dr. Petros Koumoutsakos
Track 3: Data-driven Identification and Simulation of Dynamic Systems, offered the by the Chair of Structural Mechanics, ETH Zurich (18 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 notesThe course script is composed by the lecture slides, which will be continuously updated throughout the duration of the course on the CSZ website.
LiteratureSuggested 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 / NoticeIntroductory course on probability theory
Fair command on Matlab
101-1187-00LColloquium "Structural Engineering"0 credits2KB. Stojadinovic, E. Chatzi, A. Frangi, W. Kaufmann, B. Sudret, A. Taras, T. Vogel
AbstractProfessors 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.
ObjectiveBecome acquainted with recent research results in structural engineering.