Bruno Sudret: Catalogue data in Autumn Semester 2016
|Name||Prof. Dr. Bruno Sudret|
|Field||Risk, Safety and Uncertainty Quantification in Civil Engineering|
Risiko, Sich., Ungew. im Bauing.w.
ETH Zürich, HIL E 22.3
|Telephone||+41 44 633 04 44|
|Department||Civil, Environmental and Geomatic Engineering|
|101-0187-00L||Structural Reliability and Risk Analysis||3 credits||2G||B. Sudret|
|Abstract||Structural reliability aims at quantifying the probability of failure of systems due to uncertainties in their design, manufacturing and environmental conditions. Risk analysis combines this information with the consequences of failure in view of optimal decision making. The course presents the underlying probabilistic modelling and computational methods for reliability and risk assessment.|
|Objective||The goal of this course is to provide the students with a thorough understanding of the key concepts behind structural reliability and risk analysis. After this course the students will have refreshed their knowledge of probability theory and statistics to model uncertainties in view of engineering applications. They will be able to analyze the reliability of a structure and to use risk assessment methods for decision making under uncertain conditions. They will be aware of the state-of-the-art computational methods and software in this field.|
|Content||Engineers are confronted every day to decision making under limited amount of information and uncertain conditions. When designing new structures and systems, the design codes such as SIA or Euro- codes usually provide a framework that guarantees safety and reliability. However the level of safety is not quantified explicitly, which does not allow the analyst to properly choose between design variants and evaluate a total cost in case of failure. In contrast, the framework of risk analysis allows one to incorporate the uncertainty in decision making.|
The first part of the course is a reminder on probability theory that is used as a main tool for reliability and risk analysis. Classical concepts such as random variables and vectors, dependence and correlation are recalled. Basic statistical inference methods used for building a probabilistic model from the available data, e.g. the maximum likelihood method, are presented.
The second part is related to structural reliability analysis, i.e. methods that allow one to compute probabilities of failure of a given system with respect to prescribed criteria. The framework of reliability analysis is first set up. Reliability indices are introduced together with the first order-second moment method (FOSM) and the first order reliability method (FORM). Methods based on Monte Carlo simulation are then reviewed and illustrated through various examples. By-products of reliability analysis such as sensitivity measures and partial safety coefficients are derived and their links to structural design codes is shown. The reliability of structural systems is also introduced as well as the methods used to reassess existing structures based on new information.
The third part of the course addresses risk assessment methods. Techniques for the identification of hazard scenarios and their representation by fault trees and event trees are described. Risk is defined with respect to the concept of expected utility in the framework of decision making. Elements of Bayesian decision making, i.e. pre-, post and pre-post risk assessment methods are presented.
The course also includes a tutorial using the UQLab software dedicated to real world structural reliability analysis.
|Lecture notes||Slides of the lectures are available online every week. A printed version of the full set of slides is proposed to the students at the beginning of the semester.|
|Literature||Ang, A. and Tang, W.H, Probability Concepts in Engineering - Emphasis on Applications to Civil and Environmental Engineering, 2nd Edition, John Wiley & Sons, 2007.|
S. Marelli, R. Schöbi, B. Sudret, UQLab user manual - Structural reliability (rare events estimation), Report UQLab-V0.92-107.
|Prerequisites / Notice||Basic course on probability theory and statistics|
|101-1187-00L||Colloquium in 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 the industry as well as research associates of the institute of structural engineering (IBK) are invited to present recent research results and specific projects from the practice. This colloquium is adressed to members of universities, practicing engineers and interested persons in general.|
|Objective||Learn about recent research results in structural engineering.|
|364-1058-00L||Risk Center Seminar Series |
Number of participants limited to 50.
|0 credits||2S||H. Gersbach, D. Basin, A. Bommier, L.‑E. Cederman, H. R. Heinimann, H. J. Herrmann, W. Mimra, G. Sansavini, F. Schweitzer, D. Sornette, B. Stojadinovic, B. Sudret, S. Wiemer|
|Abstract||This course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling complex socio-economic systems and crises. Students and other guests are welcome.|
|Objective||Participants should learn to get an overview of the state of the art in the field, to present it in a well understandable way to an interdisciplinary scientific audience, to develop novel mathematical models for open problems, to analyze them with computers, and to defend their results in response to critical questions. In essence, participants should improve their scientific skills and learn to work scientifically on an internationally competitive level.|
|Content||This course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling complex socio-economic systems and crises. For details of the program see the webpage of the colloquium. Students and other guests are welcome.|
|Lecture notes||There is no script, but a short protocol of the sessions will be sent to all participants who have participated in a particular session. Transparencies of the presentations may be put on the course webpage.|
|Literature||Literature will be provided by the speakers in their respective presentations.|
|Prerequisites / Notice||Participants should have relatively good mathematical skills and some experience of how scientific work is performed.|