OpenFOAM® is a widely-used open-source code and a powerful framework for solving a variety of problems mainly in the field of CFD. The five-day workshop gives an introduction to OpenFOAM® applied on CFD phenomena and is intended for beginners as well as for people with CFD background knowledge. The user will learn about case setup, meshing tools like snappyHexMesh and cfMesh. Available OpenFOAM® utilities and additional libraries like swak4Foam, that can be used for pre- and postprocessing tasks, are further aspects of this course. Additionally, basic solvers and major aspects of code structure are highlighted. Lectures and hands-on session with typical CFD examples will guide through this course including first steps in own coding.
This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves.
The course is organized by LRZ in cooperation with HLRS (University of Stuttgart) and ZIMT (University of Siegen).
The preliminary course outline can be found here (PDF).
To take full advantage of the course offering it would be advisable to have a standing knowledge of using Linux, as it is used for all exercises. Basics in programming will be required for some of the exercises as well as some insights into CFD theory. Beginners in CFD striving for more theoretical understanding may first visit the course "Introduction to CFD".
Dr.-Ing. Andreas Ruopp (Stuttgart),
Dipl.-Ing. Daniel Harlacher (Siegen),
Thorsten Zirwes (Karlsruhe)
The course language is English. The slides are in English.
Each participant will get a paper copy of all slides.
via online registration form on course page at LRZ. Please select course HIOF1W18.
for registration is Jan. 7, 2019.
Members of German universities: 50 EUR (course material)
Others: 800 EUR
(includes coffee breaks)
The course will be in the LRZ-building in Garching, see LRZ-travel-info.
Hotels see here. Early booking is strongly recommended (due to large fairs in Munich) / Bitte direkt beim Hotel frühzeitig buchen (wegen gleichzeitiger Messen in München).
Martin Ohlerich (LRZ)
http://www.hlrs.de/training/2019/OF-LRZ
and course pages at LRZ:
http://www.hlrs.de/training/ and http://www.hlrs.de/training/overview/
and at LRZ: https://www.lrz.de/services/compute/courses/