Members of RSM Win Computation 2020 Best Paper Award

Collaboration between experimentalists and numerical engineers awarded best contribution

2022/04/06 by

On March 31, 2022, the open access peer-reviewed journal Computation announced that members of RSM won the 2020 Best Paper Award for the paper entitled "Evaluation of a Near-Wall-Modeled Large Eddy Lattice Boltzmann Method for the Analysis of Complex Flows Relevant to IC Engines."

The award-winning paper was the work of a collaboration between researchers from Karlsruhe Institute of Technology (KIT) and Reactive Flows and Diagnostics at TU Darmstadt. Using high-resolution velocity data of engine-relevant flows obtained via high-speed particle image velocimetry for validation, this work demonstrated the benefits of using the lattice Boltzmann method (LBM) as an alternative to finite-volume methods (FVM) of near-wall-modelled large eddy simulation approaches.

The simulation using the open source platform OpenLB to implement the LBM was around 32 times faster than the conventional FVM simulation with similar accuracy. Therefore, LBM is shown to be a powerful tool in accurately modelling complex turbulent flows with inexpensive computation requirements.

Learn more about different research areas at RSM here.

Marc Haussmann, Florian Ries, Jonathan B. Jeppener-Haltenhoff, Yongxiang Li, Marius Schmidt, Cooper Welch, Lars Illmann, Benjamin Böhm, Hermann Nirschl, Mathias J. Krause, and Amsini Sadiki (from left to right and from up to down).