Suchergebnis: Katalogdaten im Frühjahrssemester 2022
|Master-Studium (Studienreglement 2020)|
|101-0138-11L||Bridge Design: Project Competition |
Findet dieses Semester nicht statt.
Number of participants limited to 20.
All students get on waiting list. Final registration based on application letter (information given in first lecture). Priority will be given to students attending “Bridge Design (101-0138-00 G)” and in the primary target group (Major in Structural Engineering or Projektbasierte Lehrveranstaltungen).
|W||4 KP||2S||W. Kaufmann|
|Kurzbeschreibung||This module offers the possibility to apply the fundamentals of the course Bridge Design in a conceptual design project. The scenario is set as a design competition: The students (group of two) will get a basic documentation (service criteria agreement, plans, digital terrain model, geotechnical report, photo documentation, etc.) and will develop a conceptual design suitable for the given site.|
|Lernziel||At the end of the course, students will have developed a convincing bridge design that satisfies following criteria:|
_ Consideration of governing boundary conditions and constraints.
_ Conception of an efficient structural system with an adequate aesthetic expression considering the environment.
_ Definition of the relevant actions and decisive load cases.
_ Proof of feasibility by dimensioning the main structural elements.
_ Schematic overview of construction processes.
_ Appropriate presentation and visualisation of the proposed bridge design.
|Inhalt||The module is built up as follows:|
0. Presentation of problem statement / project. (1st week of semester)
1. Team registration (teams of two students).
2. Issue of documents.
3. Introduction to design tools & working methods.
4. Working on project (milestones):
... a. Define requirements and boundary conditions.
... b. Study of references and possible concepts
... c. Choice of best variant
... d. Structural modelling & calculations
... e. Plans & visualisation
|Voraussetzungen / Besonderes||It is highly recommended to attend the course “Bridge Design (101-0138-00 G)” simultaneously.|
|101-0579-00L||Infrastructure Management 2: Evaluation Tools||W||6 KP||2G||S. Moghtadernejad|
|Kurzbeschreibung||This course provides tools to predict the service being provided by infrastructure in situations where the infrastructure is expected to |
1) to evolve slowly with relatively little uncertainty over time, e.g. due to the corrosion of a metal bridge, and
2) to change suddenly with relatively large uncertainty, e.g. due to being washed away from an extreme flood.
|Lernziel||The course learning objective is to equip students with tools to be used to the service being provided from infrastructure.|
The course increases a student's ability to analyse complex problems and propose solutions and to use state-of-the-art methods of analysis to assess complex problems
Availability and maintainability
|Skript||All necessary materials (e.g. transparencies and hand-outs) will be distributed before class.|
|Literatur||Appropriate reading material will be assigned when necessary.|
|Voraussetzungen / Besonderes||Although not an official prerequisite, it is perferred that students have taken the IM1:Process course first. Understanding of the infrastructure management process enables a better understanding of where and how the tools introduced in this course can be used in the management of infrastructure.|
|101-0523-00L||Industrialized Construction |
Findet dieses Semester nicht statt.
|W||4 KP||3G||D. Hall|
|Kurzbeschreibung||This course offers an introduction and overview to Industrialized Construction, a rapidly-emerging concept in the construction industry. The course will present the driving forces, concepts, technologies, and managerial aspects of Industrialized Construction, with an emphasis on current industry applications and future entrepreneurial opportunities in the field.|
|Lernziel||By the end of the course, students should be able to:|
1. Describe the characteristics of the nine integrated areas of industrialized construction: planning and control of processes; developed technical systems; prefabrication; long-term relations; logistics; use of ICT; re-use of experience and measurements; customer and market focus; continuous improvement.
2. Assess case studies on successful or failed industry implementations of industrialized construction in Europe, Japan and North America.
3. Propose a framework for a new industrialized construction company for a segment of the industrialized construction market (e.g. housing, commercial, schools) including the company’s business model, technical platform, and supply chain strategy.
4. Identify future trends in industrialized construction including the use of design automation, digital fabrication, and Industry 4.0.
|Inhalt||The application of Industrialized Construction - also referred to as prefabrication, offsite building, or modular construction – is rapidly increasing in the industry. Although the promise of industrialized construction has long gone unrealized, several market indicators show that this method of construction is quickly growing around the world. Industrialized Construction offers potential for increased productivity, efficiency, innovation, and safety on the construction site. The course will present the driving forces, concepts, technologies, and managerial aspects of Industrialized Construction. The course unpacks project-orientated vs. product-oriented approaches while showcasing process and technology platforms used by companies in Europe, the UK, Japan, and North America. The course highlights future business models and entrepreneurial opportunities for new industrialized construction ventures.|
The course is organized around a group project carried out in teams of 3-4. Each specific class will include some theory about industrialized construction from a strategic and/or technological perspective. There will be several external guest lectures as well. During the last hour of the course, students will work in project teams to propose a framework for a new industrialized construction venture. The teams will need to determine their new company’s product offering, business model, technical platform, technology solutions, and supply chain strategy.
It is intended to hold a group excursion to a factory for a 1/2 day visit. However in 2021, this will be determined pending the status of COVID-19 restrictions. planned course activities include a 1/2 day factory visit Students who are unable to attend the visit can make up participation through independent research and the writing of a short paper.
|Literatur||A full list of required readings will be made available to the students via Moodle.|
|101-0158-01L||Method of Finite Elements I||W||5 KP||3G||E. Chatzi, P. Steffen|
|Kurzbeschreibung||The course introduces students to the fundamental concepts of the Method of Finite Elements, including element formulations, numerical solution procedures and modelling details. We aim to equip students with the ability to code algorithms (based on Python) for the solution of practical problems of structural analysis.|
DISCLAIMER: the course is not an introduction to commercial software.
|Lernziel||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.
|Inhalt||1) Introductory Concepts|
Matrices and linear algebra - short review.
2) The Direct Stiffness Method
Demos and exercises in Python
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 Python
4) Practical application of the Method of Finite Elements.
- Practical Considerations
- Results Interpretation
- Exercises, where structural case studies are modelled and analyzed
|Skript||The lecture notes are in the form of slides, available online from the course webpage:|
|Literatur||Structural Analysis with the Finite Element Method: Linear Statics, Vol. 1 & Vol. 2 by Eugenio Onate (available online via the ETH Library)|
Bathe, K.J., Finite Element Procedures, Prentice Hall, 1996.
|Voraussetzungen / Besonderes||Prior basic knowledge of Python is necessary.|
|101-0178-01L||Uncertainty Quantification in Engineering||W||3 KP||2G||B. Sudret|
|Kurzbeschreibung||Uncertainty quantification aims at studying the impact of aleatory and epistemic uncertainty onto computational models used in science and engineering. The course introduces the basic concepts of uncertainty quantification: probabilistic modelling of data (copula theory), uncertainty propagation techniques (Monte Carlo simulation, polynomial chaos expansions), and sensitivity analysis.|
|Lernziel||After this course students will be able to properly pose an uncertainty quantification problem, select the appropriate computational methods and interpret the results in meaningful statements for field scientists, engineers and decision makers. The course is suitable for any master/Ph.D. student in engineering or natural sciences, physics, mathematics, computer science with a basic knowledge in probability theory.|
|Inhalt||The course introduces uncertainty quantification through a set of practical case studies that come from civil, mechanical, nuclear and electrical engineering, from which a general framework is introduced. The course in then divided into three blocks: probabilistic modelling (introduction to copula theory), uncertainty propagation (Monte Carlo simulation and polynomial chaos expansions) and sensitivity analysis (correlation measures, Sobol' indices). Each block contains lectures and tutorials using Matlab and the in-house software UQLab (www.uqlab.com).|
|Skript||Detailed slides are provided for each lecture. A printed script gathering all the lecture slides may be bought at the beginning of the semester.|
|Voraussetzungen / Besonderes||A basic background in probability theory and statistics (bachelor level) is required. A summary of useful notions will be handed out at the beginning of the course.|
A good knowledge of Matlab is required to participate in the tutorials and for the mini-project.
|101-0008-00L||Structural Identification and Health Monitoring||W||3 KP||2G||E. Chatzi, V. Ntertimanis|
|Kurzbeschreibung||This course will present methods for structural identification and health monitoring. We show how to exploit measurements of structural response (e.g. strains, deflections, accelerations) for evaluating structural condition, with the purpose of maintaining a safe and resilient infrastructure.|
|Lernziel||This 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 measurements of dynamic response.
2. Analyse vibration signals for identifying characteristic structural properties, such as frequencies, mode shapes and damping, based on noisy measurements of the structural response.
3. Formulate structural equations in the time and frequency domain
4. Identify possible damage into the structure by picking up statistical changes in the structural behavior
|Inhalt||The 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. Elements of Vibration Theory
2. Transform Domain Methods
3. Digital Signals (P
4. Nonparametric Identification for processing test and measurement data
(transient, correlation, spectral analysis)
5. Parametric Identification (time series analysis, transfer functions)
A series of computer/lab exercises and in-class demonstrations will take place, providing a "hands-on" feel for the course topics.
- This course offers optional homework as learning tasks, which can improve the grade of the end-of-semester examination up to 0.25 grade points (bonus).
- The learning tasks will be taken into account if all 3 homeworks are submitted. The maximum grade of 6 can also be achieved by sitting the final examination only.
|Skript||The course script is composed by the lecture slides, which are available online and will be continuously updated throughout the duration of the course: Link|
T. Söderström and P. Stoica: System Identification, Prentice Hall International: http://user.it.uu.se/~ts/sysidbook.pdf
|Voraussetzungen / Besonderes||Familiarity with MATLAB is advised.|
|102-0488-00L||Water Resources Management||W||3 KP||2G||A. Castelletti|
|Kurzbeschreibung||Modern engineering approach to problems of sustainable water resources, planning and management of water allocation requires the understanding of modelling techniques that allow to account for comprehensive water uses (thereby including ecological needs) and stakeholders needs, long-term analysis and optimization. The course presents the most relevant approaches to address these problems.|
|Lernziel||The course provides the essential knowledge and tools of water resources planning and management. Core of the course are the concepts of data analysis, simulation, optimization and reliability assessment in relation to water projects and sustainable water resources management.|
|Inhalt||The course is organized in four parts. |
Part 1 is a general introduction to the purposes and aims of sustainable water resources management, problem understanding and tools identification.
Part 2 recalls Time Series Analysis and Linear Stochastic Models. An introduction to Nonlinear Time Series Analysis and related techniques will then be made in order to broaden the vision of how determinism and stochasticity might sign hydrological and geophysical variables.
Part 3 deals with the optimal allocation of water resources and introduces to several tools traditionally used in WRM, such as linear and dynamic programming. Special attention will be devoted to optimization (deterministic and stochastic) and compared to simulation techniques as design methods for allocation of water resources in complex and competitive systems, with focus on sustainability and stakeholders needs.
Part 4 will introduce to basic indexes used in economical and reliability analyses, and will focus on multicriteria analysis methods as a tool to assess the reliability of water systems in relation to design alternatives.
|Skript||A copy of the lecture handouts will be available on the webpage of the course. Complementary documentation in the form of scientific and technical articles, as well as excerpts from books will be also made available.|
|Literatur||A number of book chapters and paper articles will be listed and suggested to read. They will also be part of discussion during the oral examination.|
|Voraussetzungen / Besonderes||Suggested relevant courses: Hydrologie I (or a similar content course) and Wasserhaushalt (Teil "Wasserwirtschaft", 4. Sem. UmweltIng., or a similar content course) for those students not belonging to Environmental Engineering.|
|101-0269-00L||River Morphodynamic Modelling||W||3 KP||2G||D. F. Vetsch, D. Vanzo|
|Kurzbeschreibung||The course teaches the basics of morphodynamic modelling, relevant for civil and environmental engineers. The governing equations for sediment transport in open channels and corresponding numerical solution strategies are introduced. The theoretical parts are discussed by examples.|
|Lernziel||The goal of the course is twofold. First, the students develop a throughout understanding of the basics of river morphodynamic processes. Second, they get familiar with numerical tools for the simulations in one- and two-dimensions of morphodynamics.|
|Inhalt||- fundamentals of river morphodynamics (Exner equation, bed-load, suspended-load)|
- aggradation and degradation processes
- river bars
- non-uniform sediment morphodynamics: the Hirano model
- short and long term response of gravel bed rivers to change in sediment supply
|Skript||Lecture notes, slides shown in the lecture and software can be downloaded|
|Literatur||Citations will be given in lecture.|
|Voraussetzungen / Besonderes||Exercises are based on the simulation software BASEMENT (www.basement.ethz.ch), the open-source GIS Qgis (www.qgis.org) and code examples written in MATLAB and Python. The applications comprise one- and two-dimensional approaches for the modelling of flow and sediment transport. |
Requirements: Numerical Hydraulics, River Engineering, MATLAB and/or Python programming skills would be an advantage.
|101-0368-00L||Constitutive and Numerical Modelling in Geotechnics |
The priority is given to the students with Major in Geotechnics.
|W||6 KP||4G||A. Puzrin, D. Hauswirth|
|Kurzbeschreibung||This course aims to achieve a basic understanding of conventional continuum mechanics approaches to constitutive and numerical modeling of soils in getechnical problems. We focus on applications of the constitutive models within the available numerical codes. Important issue of derivation of model parameters from the lab tests has also received considerable attention.|
|Lernziel||This course targets geotechnical engineers, who face these days more often the necessity of the numerical analysis in their practice. Understanding of the limitations of the built-in constitutive models is crucial for critical assessment of the results of numerical calculations, and, hence, for the conservative and cost efficient design of geotechnical structures. |
The purpose of this course has been to bridge the gap between the graduate courses in Geomechanics and those in Numerical Modeling. Traditionally, in many geotechnical programs, Geomechanics is not taught within the rigorous context of Continuum Mechanics. There is a good reason for that – the behavior of soils is very complex: it is more advantageous to explain it at a semi-empirical level, instead of scaring the students away with cumbersome mathematical models. However, when it comes to Numerical Modeling courses, these are often taught using commercially available finite elements (e.g. ABAQUS, PLAXIS) or finite differences (e.g. FLAC) software, which utilize constitutive relationships within the Continuous Mechanics framework. Quite often students have to learn the challenging subject of constitutive modeling from a program manual!
|Inhalt||This course is introductory - by no means does it claim any completeness and state of the art in such a dynamically developing field as constitutive and numerical modeling of soils. Our intention is to achieve a basic understanding of conventional continuum mechanics approaches to constitutive and numerical modeling, which can serve as a foundation for exploring more advanced theories. We focus on applications of the constitutive models within the available numerical codes. Important issue of derivation of model parameters from the lab tests has also received considerable attention.|
|Literatur||- Puzrin, A.M. (2012). Constitutive Modelling in Geomechanics: Introduction. Springer Verlag. Heidelberg, 312 p.|
|101-0378-00L||Soil Dynamics||W||4 KP||2G||I. Anastasopoulos, A. Marin, L. Sakellariadis, T. M. Weber|
|Kurzbeschreibung||Grundlagen bodendynamischer Problemstellungen, Einführung in das geotechnische Erdbebeningenieurwesen, Lösen einfacher Probleme|
|Lernziel||Vermittlung der Grundlagen, um bodendynamische Problemstellungen erkennen zu können, einfache Probleme selbständig zu lösen und bei komplexeren Aufgaben Spezialisten effizient beauftragen zu können.|
|Inhalt||Grundlagen der Dynamik und der Bodendynamik:|
Unterschiede und Gemeinsamkeiten Bodenmechanik-Bodendynamik. Repetition der Grundlagen am Beispiel des Einmassenschwingers; Wellenausbreitung im elastischen Halbraum und im realen Boden. Einfluss der geologischen Schichtung, des Grundwassers etc. auf Wellenausbreitung.
Dynamische Bodenkennziffern (Deformation und Festigkeit):
Konstitutive Modellierung des Bodens, Bodenkennziffern für Sand, Kies, Ton, Fels. Bestimmung der Bodenkennziffern im Labor und Feld.
Ausbreitungsprognose von Erschütterungen. Beurteilung von Erschütterungen bezüglich Gebäudeschäden und Belästigung des Menschen. Reduktion von Erschütterungen.
Grundbegriffe. Schäden infolge Erdbeben. Analyse der seismischen Gefährdung, Ermittlung von Bemessungsbeben. Einfluss der lokalen Geologie und Topographie auf die Bodenerschütterung. Grundlagen der Boden-Bauwerksinteraktion. Grundsätze der erdbebengerechten Dimensionierung von Fundationen, Stütz- und Erdbauwerken (Dämme). Bodenverflüssigung. Anwendung der SIA 261/267/269-8.
Probleme der Gebrauchstauglichkeit:
Bleibende Verformungen aufgrund wiederholter Belastung, Sackungen
|Skript||Buch Studer, J.; Laue, J. & Koller, M.: Bodendynamik, Springer Verlag 2007|
Ergänzt durch Aufsätze und Notizen die elektronisch zu Verfügung gestellt werden
|Literatur||Towhata, I. (2008) Geotechnical Earthquake Engineering. Springer Verlag, Berlin|
Kramer, S. L. (1996) Geotechnical earthquake engineering. Pearson Education India.
|Voraussetzungen / Besonderes||Voraussetzungen: Grundlagenwissen der Mechanik und der Geotechnik|
|101-0526-00L||Introduction to Visual Machine Perception for Architecture, Construction and Facility Management||W||3 KP||2G||I. Armeni|
|Kurzbeschreibung||The course is an introduction to Visual Machine Perception technology, and specifically Computer Vision and Machine Learning, for Architecture, Construction, and Facility Management (ACFM). It will explore fundamentals in these Artificial Intelligence (AI) technologies in a tight reference to three applications in ACFM, namely architectural design, construction renovation, and facility management.|
|Lernziel||By the end of the course students will develop computational thinking related to visual machine perception applications for the ACFM domain. Specifically, they will:|
-Gain a fundamental understanding of how this technology works and the impact it can have in the ACFM industry by being exposed to example applications.
-Be able to identify limitations, pitfalls, and bottlenecks in these applications.
-Critically think on solutions for the above issues.
-Acquire hands-on experience in creatively thinking and designing an application given a base system.
-Use this course as a “stepping-stone” or entry-point to Machine Learning-intensive courses offered in D-BAUG and D-ARCH.
|Inhalt||The past few years a lot of discussion has been sparked on AI in the Architecture, Construction, and Facility Management (ACFM) industry. Despite advancements in this interdisciplinary field, we still have not answered fundamental questions about adopting and adapting AI technology for ACFM. In order to achieve this, we need to be equipped with rudimentary knowledge of how this technology works and what are essential points to consider when applying AI to this specific domain.|
In addition, the availability of sensors that collect visual data in commodity hardware (e.g., mobile phone and tablet), is creating an even bigger pressure in identifying ways that new technology can be leveraged to increase efficiency and decrease risk in this trillion-dollar industry. However, cautious and well-thought steps need to be taken in the right direction, in order for such technologies to thrive in an industry that showcases inertia in technological adoption.
The course will unfold as two parallel storylines that intersect in multiple places:
1) The first storyline will introduce fundamentals in computer vision and machine learning technology, as building blocks that one should consider when developing related applications. These blocks will be discussed with respect to latest developments (e.g., deep neural networks), pointing out their impact in the final solution.
2) The second storyline consists of 3 ACFM processes, namely architectural design, construction renovation, and facility management. These processes will serve as application examples of the technological storyline.
In the points of connection students will see the importance of taking into account the application requirements when designing an AI system, as well as their impact on the building blocks. Guest speakers from both the AI and ACFM domains will complement the lectures.
|Voraussetzungen / Besonderes||The course does not require any background in AI, Computer Science, coding, or the ACFM domain. It is designed for students of any background and knowledge on these topics. Despite being an introductory class, it will still engage advanced students in the aforementioned topics.|
|101-0185-01L||CAD für Bauingenieure |
Maximale Teilnehmerzahl: 30
Es zählt der Zeitpunkt der Einschreibung.
|W||2 KP||2G||M. Miani, F. Ortiz Quintana|
|Kurzbeschreibung||Einführung in das Arbeiten mit CAD-Software.|
Anfertigung bautechnischer Zeichnungen in 2D und 3D.
|Lernziel||Nach Abschluss des Kurses können die Absolventen eine 2D-Konstruktion erstellen (Schalungsplan) und sie kennen das Prinzip eines Bewehrungsmoduls. Ferner haben sie eine Einführung in ein 3D-Programm enthalten (3D-Bewehren).|
Sie sind somit besser vorbereitet auf
- die Bachelorarbeit im 6. Semester,
- ein allfälliges Praktikum zwischen Bachelor- und Masterstudium,
- die Projektarbeiten im Masterstudium,
- die Masterarbeit.
Ausserdem schulen sie das räumliche Vorstellungsvermögen und erwerben sich Orientierungswissen als spätere Vorgesetzte von Zeichnern und Konstrukteuren.
Erzeugung von Schnitten und Ansichten.
Anwendung des Bewehrungsmoduls.
Erstellung abgabefertiger Pläne.
|101-0691-00L||Towards Efficient and High-Performance Computing for Engineers||W||4 KP||3G||D. Kammer, M. Pundir|
|Kurzbeschreibung||This course is an introduction to various programming techniques and tools for the development of scientific simulations (using C++). It provides the practical and theoretical basis for high-performance computing (HPC) including data structure, testing, performance evaluation and parallelization. The course bridges the gap between introductory and advanced programming courses.|
|Lernziel||This course provides an overview of programming techniques relevant for efficient and high-performance computing. It builds on introductory coding experience (e.g. matlab/python/java) and introduces the students to more advanced tools, specifically C++, external libraries, and supercomputers. The objective of this course is to introduce various approaches of good practice in developing your own code (for your research or engineering project) or using/modifying existing open-source programs. The course targets engineering students and seeks to provide a practical introduction towards performance-based computational simulation.|
|Inhalt||1. code versioning and DevOps lifecycle|
2. introduction to C++
3. structured programming
4. object-oriented programming
5. code testing
6. code performance (design, data structure, evaluating, using external libraries)
7. code parallelization
8. running simulations on supercomputers
|Skript||Will be provided during the lecture via moodle.|
|Literatur||Will be provided during the lecture.|
|Voraussetzungen / Besonderes||A good knowledge of MATLAB (or Python or java) is necessary for attending this course.|
|101-0278-00L||Hochwasserschutz||W||3 KP||2G||R. Boes, J. Eberli|
|Kurzbeschreibung||Konzepte und bauliche Massnahmen zur Verhinderung bzw. Verminderung von Hochwasserschäden sowie erfolgversprechende Methoden zur Umsetzung einer ganzheitlichen Planung in der Praxis.|
|Lernziel||Kennenlernen der Prozesse, die zu Hochwasserschäden führen, der verschiedenen Konzepte und baulichen Massnahmen, mit denen sie verhindert bzw. vermindert werden können sowie erfolgversprechende Methoden zur Umsetzung der Planung in der Praxis. Integrales Risikomanagement.|
|Inhalt||Erläuterung der massgebenden Prozesse: Überflutung, Auflandung, Übersarung, Seiten- und Tiefenerosion, Murgänge.|
Konzept der differenzierten Schutzziele für verschiedene Landnutzungen (von Naturland bis Industriegebiet).
Grundsätzliche Möglichkeiten des Hochwasserschutzes.
Raumplanung auf der Basis von Gefahrenzonen.
Klassische Massnahmen gegen Hochwasserschäden an Beispielen (Kapazitätserhöhung, Entlastungsbauwerke, Rückhaltbecken, Flutmulden, Polder).
Objektschutz als weiterführende Massnahme.
Betrachtung des Überlastfalls, Notfallmassnahmen.
Schadenbestimmung und Risikoabschätzung.
Umgang mit dem verbleibenden Risiko.
Zielkonflikte bei der Umsetzung der Massnahmen.
Bearbeiten von Fallstudien in der Gruppe.
|Literatur||Richtlinien und Wegleitungen der zuständigen Schweizer Bundesämter (insbesondere Bundesamt für Umwelt, BAFU)|
|101-0529-00L||Introduction to Extended Reality (XR) for Architecture, Engineering, Construction, and Operations||W||3 KP||2G||R. Kuttantharappel Soman|
|Kurzbeschreibung||The course introduces Extended Reality (XR) applied to Architecture, Engineering, Construction, and Operations (AECO). It will explore the fundamentals of XR (Virtual reality, augmented reality, mixed reality) in a tight reference to three applications in AECO, namely design, construction, and operations.|
|Lernziel||By the end of the course, students will learn the fundamentals of XR, its applications in the AECO sector, and the skills to identify, develop, and deploy XR applications for the AECO problems. Specifically, they will:|
-Gain a fundamental understanding of XR, including virtual reality continuum, characteristics of XR systems, perceiving digital information, etc.
-Be able to identify the opportunities for application of XR in different stages of a project such as conception, design, construction.
-Critically think about existing solutions and identify limitations, pitfalls, and bottlenecks in existing solutions.
-Acquire hands-on experience in creative thinking and designing an XR application.
-Be able to communicate with technology developers and translate AECO end-user requirements into system requirements for application development.
|Inhalt||Over the past decade, the Architecture, Engineering, Construction, and Operations (AECO) sector has undergone significant digital transformation. It has changed how AECO professionals have created, shared, and perceived information. The information has evolved from drawings to building information models and building information models to the digital twin. Since this information is in multiple dimensions, new methods are being developed to interact and visualize them in order to exploit it for better data-driven decisions. XR allows construction professionals to visualize, understand, and communicate such complex information easily. It helps AECO professionals “see” digital content in different ways and for different purposes. To utilize this to the full potential, AECO professionals should have the skills and be equipped with the rudimentary knowledge of how this technology works and vital points to consider when applying XR to this specific domain. The course will introduce students to:|
•Fundamental concepts of XR
•Emerging practice and problems in AECO domains that could leverage XR
•Developing XR systems to solve problems in the AECO domain
The course will unfold as two parallel tracks with numerous overlaps:
1) The first track will introduce fundamentals of XR, including but not limited to the virtual reality continuum, XR devices, perception, development of the virtual world, the interaction between real and virtual world, and development of XR systems.
2) The second track consists of the applications of XR in the AECO sector. It will discuss the evolution of information in the AECO sector and introduce digital twin concepts and how XR helps to interact with digital twins during design, construction, and operations. Finally, it will present the state-of-the-art in the industry (through guest speakers) and the future of XR in AECO (through research paper discussions).
The overlap will help the students understand the importance of considering the application requirements when designing an XR system and the opportunities and limitations of the technology when envisioning a new application.
|Skript||Throughout the course, students will be asked to solve assignments and mini-exercises that would require critical thinking, research in prior work, and critical review of the existing state-of-the-art.|
The course also includes a final group project. Students will be asked to creatively design and develop an application based on the material covered in the course lectures. The mini exercises throughout the semester are designed to complement the final project. In addition, slides and other material will be made available online.
|Voraussetzungen / Besonderes||Although desirable, the course does not require any background in coding. It is designed for students of any background and knowledge on these topics. Despite being an introductory class, it will still engage advanced students in the topics mentioned above.|
|101-0194-00L||Seismic Evaluation and Retrofitting of Existing Buildings||W||2 KP||1G||A. Tsiavos|
|Kurzbeschreibung||The aim of this course is to present the state of the art of the current procedures for seismic evaluation and retrofitting of existing buildings in Switzerland (Norm SIA 269/8) and worldwide. Emphasis will be given on the practical application of these procedures in real buildings located in Switzerland, through case studies presented by experts in the field.|
|Lernziel||A large percentage of the existing building inventory worldwide has been constructed before the introduction of the current seismic code provisions. The seismic deficiencies observed in many of these structures are a direct outcome of their non-compliance with these provisions and the established engineering practices in seismic design. Moreover, the unavoidable material deterioration in these structures could further inhibit their seismic performance. Therefore, the knowledge of the current procedures and common practices for the seismic evaluation and retrofitting of buildings is of paramount importance. This course presents an overview of these procedures through a wide spectrum of applied case studies in Switzerland and worldwide. The students will work on a project related to the presented case studies, thus obtaining deep understanding on the application of these procedures and a feeling on how to engineer practical retrofitting strategies towards the seismic upgrading of existing buildings.|
|Inhalt||1. Introduction to seismic hazard and seismic performance objectives.|
2. Common structural deficiencies and observed damage patterns in buildings due to strong earthquake ground motion excitation.
3. Seismic evaluation of buildings in Switzerland using Norm SIA 269/8: Presentation of the code in steps and discussion of the critical issues.
4. Seismic retrofitting of buildings in Switzerland using Norm SIA 269/8: Presentation of the code in steps and discussion of the critical issues.
5. Application of seismic evaluation using SIA 269/8 on an existing building in Switzerland.
6. Application of seismic retrofitting using SIA 269/8 on an existing building in Switzerland.
7. Seismic evaluation methodologies worldwide: State of the art. Presentation of illustrative examples.
8. Introduction to Yield Point Spectra and the Constant Yield Displacement Evaluation (CYDE) method.
9. Seismic retrofitting strategies worldwide: State of the art. Presentation of illustrative examples.
|Voraussetzungen / Besonderes||The attendance of the course Existing Structures (Erhaltung von Tragwerken-101-0129-00L) and the participation in the course Seismic Design of Structures I (101-0188-00L) in parallel with this course are highly recommended.|
|101-0149-01L||Advanced Analysis and Design of Steel Structures||W||3 KP||2G||A. Taras|
|Kurzbeschreibung||In „Advanced Analysis and Design of Steel Structures”, students will learn the background and practical application of simulation-based analysis and design methods in the design and assessment of steel and steel-concrete composite structures.|
|Lernziel||In „Advanced Analysis and Design of Steel Structures”, students will learn the background and practical application of simulation-based analysis and design methods in the design and assessment of steel and steel-concrete composite structures.|
|Inhalt||The course will begin with introductory lessons on the structural behaviour of plated and shell-like structures as they are found in bridges, crane girders, masts and tanks or other vessels, and the main design criteria used in standards and product specifications. This is followed by an introduction of numerical methods of analysis used for these design tasks. These include:|
- Materially nonlinear analysis of steel and composite elements in frames and trusses
- Linear buckling analysis
- Geometrically nonlinear analysis of perfect and imperfect structures
- Geometrically and materially nonlinear analysis
- Methods of fatigue analysis: stress design by global and local approaches
- Methods of fatigue analysis: calculation of stress intensity factors and J-integrals, crack propagation
- Fire structural engineering of steel elements: thermal and stress analysis.
|Skript||Lecture Slides, Notes on Worked Examples.|
|Voraussetzungen / Besonderes||Basic and Advanced Courses in Steel & Composite Construction, |
E.g. Stahlbau 1 + 2, Advanced Steel Construction (MSc course)
|101-0408-00L||Praktikum Siedlung und Verkehr |
Maximale Teilnehmerzahl: 25
|W||3 KP||2P||B. Vitins|
|Kurzbeschreibung||Dieses Praktikum wendet die Methoden der Verkehrsplanung basierend auf Raumstrukturen beispielhaft an. Die Studierenden erarbeiten anhand realen Daten einer Fallstudie die vier Schritte der Verkehrsnachfrageberechnung und erstellen Verbesserungsszenarien für Verkehrsinfrastruktur und Raumplanung.|
|Lernziel||- Vorgehen zur Analyse und Lösung verkehrsplanerischer Fragestellungen|
- Wechselwirkung zwischen Raum- und Verkehrsplanung
- Erstellung von Modellen zur Lösung planerischer Aufgaben
- Plausibilisierung und Kalibrierung der Modelle
- Ausarbeitung von Lösungen, Vorschlag von Massnahmen
- Beurteilung der Massnahmen und deren Auswirkungen
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