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.
OpenLB Workshop 2019
Lattice Boltzmann Methods with OpenLB Software Lab
December 10-11, 2019
Structural Bioinformatics and Computational Biology Lab
Institute of Informatics
Federal University of Rio Grande do Sul
Institute of Informatics
Federal University of Rio Grande do Sul
The field of Lattice Boltzmann Method
Show Cases
Objective of the OpenLB Workshop
The OpenLB Workshop introduces scientists and applicants from industry to the theory of LBM and trains them on practical problems. The first day of the workshop is dedicated to the theoretical fundamentals of LBM up to ongoing research on selected topics. Followed by mentored training on case studies using OpenLB in the second day, the participants gain insights into LBM and its applications. Emphasis is placed on the modelling and simulation of particulate fluid flows.This educational concept is probably unique in the LBM community and offers a comprehensive and personal guided approach to LBM.
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.
Lab Room and Requirements
The participants will be 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. 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 5.0, clang compiler 3.4, icc compiler 17.0 or 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
Mathias J. Krause
Karlsruhe Institute of Technology
Stephan Simonis
Karlsruhe Institute of Technology
Robin Trunk
Karlsruhe Institute of Technology
Adrian Kummerländer
Karlsruhe Institute of Technology
Jonathan Jeppener
Karlsruhe Institute of Technology
| Time | Tuesday (December 10, 2019) | Wednesday (December 11, 2019) |
|---|---|---|
| 09:00–09:45 | Opening, LBM for Applications, Mathias J. Krause | 2. Setup Geometry and Meshing |
| 09:45–10:30 | Short Introduction by Participants | Exercise 2 |
| 10:30–11:00 | Coffee Break | Coffee Break |
| 11:00–11:45 | Introduction to LBM, Stephan Simonis | 3. Place LB Models, Initial and Boundary Conditions, Convergence |
| 11:45–12:30 | LBM for Turbulent Flows, Stephan Simonis | Exercise 3 |
| 12:30–14:00 | Lunch | Lunch |
| 14:00–14:45 | LBM for Particulate Flows, Robin Trunk | 4. Computation and Results |
| 14:45–15:30 | Efficient Parallel Implementation, Adrian Kummerländer | Exercise 4 |
| 15:30–16:00 | Coffee Break | Coffee Break |
| 16:00–16:45 | Introduction to OpenLB, Preliminaries | Option 1: Exercises 5 and 6 (Particulate flows) Option 2: OpenLB for Developers (Doxygen, Advanced Models) Option 3: Work on Your own Application |
| 16:45–17:30 | 1. Initialisation, Exercise 1 |
Executive Committee
Mathias J. Krause
mathias.krause@kit.edu
Karlsruhe Institute of Technology
Márcio Dorn
mdorn@inf.ufrgs.br
Federal University of Rio Grande do Sul
Registration
The registration system will be available from 01/11/2019 until 30/11/2019.
