MS7: Lattice Boltzmann Method-Based Computational Fluid Dynamics and its Application

Amirul Khan and Alessandro de Rosis

Abstract

The lattice Boltzmann method (LBM) stands as a versatile and powerful computational tool for simulating fluid dynamics and related phenomena. With its unique mesoscopic approach, LBM has gained significant attention for its ability to accurately model complex flows, including multiphase flows, turbulent flows, and flows through porous media. This mini-symposium aims to provide a platform for researchers and practitioners to exchange ideas, discuss recent advancements, and explore emerging applications of the lattice Boltzmann method.

Topics of interest include:

• fundamental developments in LBM;
• novel computational techniques for enhancing simulation efficiency and accuracy, including hardware acceleration and parallelisation strategies;
• applications of LBM in industrial and environmental fluid dynamics;
• challenges associated with coupling LBM with other numerical methods;
• machine learning-based approaches for improving the efficiency, accuracy, and applicability of LBM.
  

Additionally, the mini-symposium will address issues related to the validation, verification, and benchmarking of LBM simulations, as well as initiatives in the development and dissemination of open-source LBM codes.

Researchers at all career stages are invited to contribute oral presentations. We welcome experts and enthusiasts from academia and industry. This mini-symposium seeks to advance our understanding of LBM, stimulate interdisciplinary discussions, and inspire future innovations in LBM-based computational fluid dynamics.

Amirul Khan - University of Leeds, School of Civil Engineering

Dr. Amirul Khan is a lecturer in Environmental Fluid Mechanics at the School of Civil Engineering, University of Leeds. His research is primarily focused on the application of the lattice-Boltzmann method (LBM) across various areas. These include turbulent flow simulation in both indoor and outdoor environments, fluid turbulence, and turbulent dispersion. Additionally, his research interests extend to theoretical and experimental investigations into the fundamental aspects of fluid turbulence and turbulent dispersion.

Alessandro De Rosis - The University of Manchester, Department of Fluids and Environment

Alessandro De Rosis is a Lecturer in Virtual Engineering at the Department of Fluids and Environment of The University of Manchester. His research activity deals mainly, tough not exclusively, with theory of the lattice Boltzmann method and numerical simulations to investigate a wide variety of problems (e.g., plasma flows, boiling processes, multicomponent flows, among the others).