Search result: Catalogue data in Autumn Semester 2020
Spatial Development and Infrastructure Systems Master  | ||||||
 1. Semester | ||||||
| Major Courses | ||||||
| Network Infrastructure | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|---|
| 101-0187-00L | Structural Reliability and Risk Analysis | W | 3 credits | 2G | S. Marelli | |
| 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. | |||||
| Learning 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 | |||||
| 103-0307-00L | Multi-Criteria Decision Analysis | W | 3 credits | 2G | A. Grêt-Regamey, M. J. Van Strien | |
| Abstract | Planners need to make decisions about the best possible mix of land uses. With increasing availability of spatial databases and the analytical capabilities of GIS, more effective decision support systems can be developed. The goal of the course is to provide the basics of spatial analysis and to teach the integration of spatial data into multicriteria decision-making systems. | |||||
| Learning objective | This course will: 1) introduce students to techniques and issues associated with spatial modeling and decision support systems, including analytical techniques that are unique to spatial analysis 2) provide hands-on training in the use of these spatial tools in R while addressing real planning problems. The emphasis is on concepts, resources, and analysis tools that students can use in science, private companies and government careers. | |||||
| Lecture notes | - Handouts of the lectures - Script - Exercise material Download: Link | |||||
| Prerequisites / Notice | The course will presume basic knowledge of the R software package. RE&IS Master students will acquire this knowledge during the "Basics of RE&IS" (103-0377-10L) course. Provided there are still available places, students from other disciplines can also join the part of "Basics of RE&IS" in which R is taught (i.e. first five lectures; no credit points will be awarded). These students can register for "Basics of RE&IS" by e-mailing Maarten van Strien (vanstrien@ethz.ch). Alternatively, they can acquire basic R knowledge with online tutorials, such as "Introduction to R" by W. N. Venables and D. M. Smith available online at http://cran.r-project.org/doc/manuals/R-intro.pdf. | |||||
| 101-0549-00L | Selected Topics on Legal Aspects in Civil Engineering | W | 3 credits | 2G | H. Briner, D. Trümpy | |
| Abstract | Basic knowledge in public and private law of civil engineering. Examples of the subjects treated: space management, protection of the environment, legal procedures, standards for building technology and contracts. | |||||
| Learning objective | Part 1: The students shall acquire basic knowledge of the public law concerning civil engineering: space management, conception of buildings, protection of the environment, procedures Part 2: The students shall acquire basic knowledge of the private law concerning civil engineering | |||||
| Content | Teil 1: Jede Lektion behandelt für ein bestimmtes Stadium des Projekts ein Thema des öffentlichen Baurechts wie Bau- und Zonenordnungen, Quartierpläne, Umweltverträglichkeitsprüfungen, Baubewilligungsverfahren etc.. Teil 2: Grundzüge des privaten Baurechts wie Abnahme und Genehmigung von Bauwerken, Vollmacht des Architekten / Ingenieurs zu Rechtshandlungen namens des Bauherrn, Mängelrüge im Bauwesen, Mehrheit ersatzpflichtiger Baubeteiligter, Generalunternehmervertrag, Haftung des Baumaterialverkäufers, Bauhandwerkerpfandrecht, Grundzüge der SIA-Norm 118, Baukonsortium, technische Normen, internationale Bauverträge, Architekten / Ingenieure als Gerichtsexperten, Aspekte des Bauzivilprozesses | |||||
| Lecture notes | D. Trümpy: Tafeln zu den Grundzügen des schweizerischen Bauvertragsrechts (Vorlesungsunterlage) H. Briner: Tafeln zu den Grundzügen des öffentlichen Raumplanungs-, Bau- und Umweltrechts (Vorlesungsunterlage) | |||||
| Literature | - Stöckli P./Siegenthaler Th. (Hrsg.) Die Planerverträge, Schulthess 2013 - Gauch Peter, Werkvertrag, 5. Auflage, Schulthess 2011 | |||||
| Prerequisites / Notice | Die Teilnehmer sollen stets ein Exemplar der SIA-Norm 118, der SIA-LHO 103 sowie die Gesetzesausgaben von OR und ZGB bei sich haben. | |||||
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