Objective

The spring school introduces researchers and users from industry to the theory of LBM and trains them on practical problems. Option B: the first half of the week is dedicated to theoretical fundamentals up to ongoing research on selected topics in kinetic theory, scientific computing, LBM, and Partial Differential Equations (PDE). Followed by mentored training on case studies using OpenLB in the second half of the week. Emphasis is placed on the modelling and simulation of particulate, multi-component, and turbulent fluid flows. Option A: Advanced OpenLB users and developers are enabled to solve their own application problems and implement their own solution approaches.

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

Executive committee

• John Bridgeman (UOL),
• Davide Dapelo (UOL),
• Mohaddeseh Mousavi Nezhad (UOL),
• Shota Ito (LBRG/KIT),
• Mathias J. Krause (LBRG/KIT),
• Stephan Simonis (ETH Zürich)

Host Organization

University of Liverpool (UOL)

Venue

University of Liverpool (UOL), Rendall Building, Liverpool L69 7WW, United Kingdom

The Field of Lattice Boltzmann Method

Lattice Boltzmann Methods (LBM) are an established numerical technique for Computational Fluid Dynamics (CFD) and beyond. The simulation of complex multi-physics benefits strongly from the mesoscopic modelling of LBM and positions it next to traditional numerical methods. The rapid development in LBM – also driven by the emergence of massive parallel computing infrastructure – enables engineers to solve relevant problems for academia as well as for industry.

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 either beginners (Option B) or advanced (Option A). Based on the interest in CFD, this course provides a collaborative platform for LBM, both for developers and researchers.