Rettinger C (2018)
Publication Type: Conference contribution, Abstract of a poster
Publication year: 2018
Particulate flows are encountered in various application fields, examples being fluidized beds in chemical engineering and sediment transport in riverbeds relevant in environmental engineering.
Here, simulations that feature geometrically fully resolved particles are desired since they enable accurate predictions from first principles.
The high computational costs, however, usually impose a strong limitation on the system size.
In many cases, the flow structures in the vicinity of the particles are of special interest since they influence the particle motion and thus need to be appropriately numerically resolved.
On the other hand, regions without particles have less restrictive resolution requirements and allow for coarser grids.
With adaptive grid refinement, we can significantly improve the efficiency of such simulations since the overall workload is reduced.
We present and evaluate different refinement approaches for particulate flows by comparing their accuracy and performance to simulations with uniform grids.
Furthermore, we discuss load balancing strategies to distribute the workload evenly among the available computing resources.
This is essential for efficient massively parallel simulations and requires accurate predictors for the local workload generated by the coupled simulation.
Illustrating examples from the aforementioned application fields will be presented to demonstrate the generality and flexibility of our approach.
Rettinger, C. (2018). Adaptive Grid Refinement Techniques for Particulate Flow Simulations with the Lattice Boltzmann Method. Poster presentation at Platform for Advanced Scientific Computing (PASC) Conference, Basel, CH.
Rettinger, Christoph. "Adaptive Grid Refinement Techniques for Particulate Flow Simulations with the Lattice Boltzmann Method." Presented at Platform for Advanced Scientific Computing (PASC) Conference, Basel 2018.