Facing Challenges in Computational Fluid Mechanics with Lattice Boltzmann Methods

Explore cutting-edge approaches to computational fluid dynamics in this seminar talk by Prof. Dr. Mathias J. Krause from the Lattice Boltzmann Research Group at Karlsruhe Institute of Technology. Delve into an integrative strategy for numerical simulations and optimization of fluid flows, combining numerical simulation, high-performance computing (HPC), and novel mathematical optimization techniques based on mesoscopic model descriptions and Lattice Boltzmann Methods (LBM). Discover the implementation of these algorithms in the open-source framework OpenLB and learn about systematic approaches to addressing contemporary challenges in CFD. Gain insights into LBM as a generic technique for approximating Partial Differential Equations (PDE) and its implementation on heterogeneous HPC platforms. Examine various fluid flow simulation and optimization examples, with particular emphasis on particulate and turbulent flows. Benefit from Prof. Krause's extensive expertise in applied mathematics, HPC, CFD, and PDE-constrained optimization, as well as his role in developing the OpenLB software for solving large-scale engineering problems across multiple disciplines.