Welcome to the Lattice Boltzmann Research Group
The Lattice Boltzmann Research Group (LBRG) is an interdisciplinary research group that aims to take advantage of novel mathematical modeling strategies and numerical methods to enable large-scale simulations and optimal control of fluid flows for applications in process engineering. The LBRG aims at a better fundamental understanding of suspensions in general and for the improvement of mechanical processes and medical treatments. In particular the LBRG designs and uses models, algorithms, and open source simulation tools such as OpenLB, always taking advantage of modern high performance computers for the simulation of, for example:
- Particulate fluid flows
- Thermal flows
- Turbulent flows
- Material transport and chemical reactive flows
- Light transport
- Fluid-structure interaction
- Flows in porous media and complex geometries
The LBRG’s teaching and education concept is project- and research-oriented, offering for example basic programming courses, lectures on parallel computing, software tutorials, and advanced seminars on particular fluid flow simulations as well as optimal control theory.
Read more
Latest News
2024/09/10 – New Video about Partcile Swarm Settling
We have just released a new video on our OpenLB YouTube Channel:.
Partcile Swarm Settling Behavior Spheres and Cubes Using Lattice Boltzmann Methods and OpenLB
For further information please visit the OpenLB Website
2024/07/08 – LBRG offers course on parallel computing in winter semester 2024/2025
In the winter semester 2024/2025, the LBRG will offer a course on parallel computing. Motivated by the increasing compute power of modern parallel hardware, the course will cover topics such as: parallel programming models, parallel solving of linear equation systems, parallel finite element/volume/difference methods, parallel lattice Boltzmann methods, domain decomposition, load balancing, parallel linear algebra operations, convergence and parallel cost analysis. Besides, applications in natural and engineering sciences are also studied. A focus is placed on efficient parallel algorithms to take advantage of massively parallel computers and enable novel physical insights, ground truth simulations or large-scale predictions.
More information is given on the course webpage2024/08/25 – New paper on UQ and LBM published in Journal of Computational Physics
For the first time, we combined the lattice Boltzmann method (LBM) with the stochastic Galerkin (SG) method. The article is published open access in the Journal of Computational Physics and is freely available at https://doi.org/10.1016/j.jcp.2024.113344 . SG LBM extends LBM into the field of uncertainty quantification. As a proof of concept, we implemented parts of the approach in OpenLB and validated it using classical fluid dynamics benchmark tests with multidimensional uncertainty. In our numerical experiments, we achieved a speedup factor of 5.72 compared to Monte Carlo sampling, which demonstrates the high efficiency of SG LBM.
2024/07/18 – Block seminar on computational fluid dynamics
The lectures in the block seminar on computational fluid dynamics took place this week. Topics included particle distribution in the air after coughing, boiling water in microchannels, wind simulations around individual buildings and in residential neighbourhoods with different tree cover (in Dubai). We studied models with compressibility, with springs and for non-spherical particles. On Monday, 22 July at 1 pm, we will present the topics for next semester's seminar in room 3.069.
MORE NEWS: Read more
Overview
About LBRG
Members & Guests
Research Projects
Publications
Podcasts
Teaching
Theses offered
News Archive