Spring School

3rd Spring School

Lattice Boltzmann Methods
with OpenLB Software Lab

18.-22. February 2019
Mannheim, Germany

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Executive committee

  • Mathias J. Krause, Karlsruhe Institute of Technology, Germany
  • Robin Trunk, Karlsruhe Institute of Technology, Germany
  • Natascha Heß-Mohr, Mannheim University of Applied Sciences, Germany
  • Matthias Rädle, Mannheim University of Applied Sciences, Germany

The field of Lattice Boltzmann Method

In recent years, Lattice Boltzmann Methods (LBM) turned into an established numerical tool for computational fluid dynamic (CFD) problems and beyond. The simulation of complex multi-physical problems benefits strongly from the comprehensive mesoscopic modelling underlying LBM and establishes LBM besides traditional numerical methods.

Target audience

The expected attendees are developers and researchers, from industry and academia interested to learn theoretical and practical aspects of LBM. The spring school addresses e.g. engineers, computer scientists, mathematicians and physicists as well as Master and PhD students. The course level is beginners in LBM. Based on their interest in CFD, this course provides a collaborative platform for LBM, both for developers and researchers.

Objective of the spring school

The spring school introduces scientists and applicants from industry to the theory of LBM and trains them on practical problems. The first three days are dedicated to the theoretical fundamentals of LBM up to ongoing research on selected topics. Followed by two days of mentored training on case studies using OpenLB, the participants gain deep insights into LBM and its applications.

This educational concept is probably unique in the LBM community and offers a comprehensive and personal guided approach to LBM. Participants also benefit from the knowledge exchange during poster session, coffee breaks and an excursion.

Lab room and requirements

In the computing lab sessions on Thursday and Friday, the participants are trained on practical applications, deploying the open source software OpenLB. Particular focus is placed on case studies, which are important to understand and verify the theory presented in the lectures, earlier in the spring school. By the help of experienced tutors, the computing lab sessions also enable to set up OpenLB simulations for relevant problems. To guaranty personal tutoring and intensive exchange between experienced mentors and novices, the lab is limited to 50 participants.

The attendees are responsible to bring their own laptop equipped with the software

  • GNU c++ compiler 4.8 and higher
  • OpenMPI 1.6 and higher
  • Paraview

Windows users prepare their laptop in advance following the Technical Report 4 or 5 (www.openlb.net/tech-reports).

Speakers (preliminary)

  • François Dubois, CNAM Paris, Université Paris-Sud, France (confirmed)
  • Mathias J. Krause, Karlsruhe Institute of Technology, Germany (confirmed)
  • Timm Krüger, The University of Edinburgh, United Kingdom (confirmed)
  • Timothy Reis, University of Greenwich, United Kingdom (confirmed)
  • Max Gaedtke, Nicolas Hafen, Marc Haussmann, Fabian Klemens, Marie-Luise Maier, Albert Mink, Markus Mohrhard, Robin Trunk, Karlsruhe Institute of Technology, Germany
  • Jesse Ross-Jones, Mannheim University of Applied Sciences

Course delivery

Printed lecture notes, lectures by invited speakers, software lab mentored by OpenLB developers, 5x lunch, 2x dinner, social excursion and Spring School dinner, all coffee breaks, certificate of participation

Pricing

Early registration

(by 14. January 2019)

Regular registration
Academia € 350 € 500
Industry € 1.700 € 1.850

 

Poster session award

The award is aiming at supporting excellent students working in the field of LBM.

Supported by

 

 

Mannheim University of Applied Sciences
 

kit

 

Karlsruhe Institute of Technology