Technische Universität München

Details

Last Updated: 25 September 2018

Out now:

Borrmann, A., König, M., Koch, C., Beetz, J. (Ed.):

Building Information Modeling – Technology Foundations and Industry Practice

Springer International

ISBN 978-3-319-92861-6

https://link.springer.com/book/10.1007/978-3-319-92862-3

Building Information Modeling (BIM) refers to the consistent and continuous use of digital information throughout the entire lifecycle of a built facility, including its design, construction and operation. In order to exploit BIM methods to their full potential, a fundamental grasp of their key principles and applications is essential. Accordingly, this book combines discussions of theoretical foundations with reports from the industry on currently applied best practices.

The book’s content is divided into six parts: Part I discusses the technological basics of BIM and addresses computational methods for the geometric and semantic modeling of buildings, as well as methods for process modeling. Next, Part II covers the important aspect of the interoperability of BIM software products and describes in detail the standardized data format Industry Foundation Classes. It presents the different classification systems, discusses the data format CityGML for describing 3D city models and COBie for handing over data to clients, and also provides an overview of BIM programming tools and interfaces. Part III is dedicated to the philosophy, organization and technical implementation of BIM-based collaboration, and discusses the impact on legal issues including construction contracts. In turn, Part IV covers a wide range of BIM use cases in the different lifecycle phases of a built facility, including the use of BIM for design coordination, structural analysis, energy analysis, code compliance checking, quantity take-off, prefabrication, progress monitoring and operation. In Part V, a number of design and construction companies report on the current state of BIM adoption in connection with actual BIM projects, and discuss the approach pursued for the shift toward BIM, including the hurdles taken. Lastly, Part VI summarizes the book’s content and provides an outlook on future developments.

Powerful and sophisticated software products are now available that provide the technological basis for realizing BIM-based construction projects. The book was written both for professionals using or programming such tools, and for students in Architecture and Construction Engineering programs.

Details

Last Updated: 18 April 2018

On April 19th, 2018 the Leonhard Obermeyer Center (LOC) at TUM hosts the international planning commitee of the "Integrated Digital Built Environment" intitiative, a joint activity of buildingSMART International (bSI) and the Open Geospatial Consortium (OGC). LOC as the TUM Center of Digital Methods for the Built Environment shares the same vision and goals and is thus happy to act as host for this important international initiative.

Details

Last Updated: 18 October 2017

The chair of computational modeling and simulation provides a public access to its pedestrian simulator framework MomenTUM. The simulator war developed under the lead of Dr. Peter M. Kielar and links modern concepts of computer science with our in-depth background in microscopic pedestrian simulations.

The simulator enables research groups to rapidly develop and analyze pedestrian behavior models. This is enabled by the generic, extensible, and modular software architecture of the framework. Thus, MomenTUM is a perfect platform to research on new but also well-known behavior modeling approaches from the field of pedestrian dynamics.

Details regarding MomenTUM can be found on the chair’s homepage and on GitHub.

Details

Last Updated: 21 November 2016

The Chair of Computational Modeling and Simulation at Technical University Munich invites applications for the position of a Research Assistant (m/f) for performing fundamental research in the field of Building Information Modeling and teaching classes at Master level. The candidate has the opportunity to attain a doctoral degree (Ph.D.). Remuneration rate is according to the public sector rate TVL E13 resulting in approx. 2800-3000€ per month before tax. The initial term of appointment is three years, starting February 1st 2017. Application deadline is November 30, 2016.

Our interdisciplinary team at the CMS chair is investigating computational models and techniques for application in civil engineering. The main emphasis of our research activities is on geometric and semantic modeling (Building Information Modeling), simulation and monitoring of construction process, as well as pedestrian dynamics.

The offered position is part of the freshly established research unit 2363, which is funded by the German Research foundation. The project aims at using Building Information Models for evaluating different design options in early design phases. To this end, the formal representation and use of different levels of development / levels of detail in the model is investigated. For applying for this position, the candidate should possess in-depth skills and experiences in object-oriented programming. A background in Structural Engineering or Architecture is beneficial.

If you hold a diploma or Master's degree in civil or mechanical engineering, architecture or computer science, possess a sound knowledge of applied informatics and want to join a highly motivated research group, please submit your application including all relevant information (curriculum vitae, copies of testimonials, photo, etc.) to the email address provided below.

Excellent communication skills in English and the willingness to learn the German language are essential.

Granting equal opportunities is part of our personnel policy. TU München encourages applications from qualified female candidates. Handicapped applicants will be given preference in the case of equal qualifications.

Prof. Dr.-Ing. André Borrmann
Lehrstuhl für Computergestützte Modellierung und Simulation
Arcisstrasse 21
80290 München
This email address is being protected from spambots. You need JavaScript enabled to view it.
www.cms.bgu.tum.de

Kontakt: This email address is being protected from spambots. You need JavaScript enabled to view it.