Coupling multibody dynamics and computational fluid dynamics on 8192 processor cores

Journal article


Publication Details

Author(s): Götz J, Iglberger K, Feichtinger C, Donath S, Rüde U
Journal: Parallel Computing
Publisher: Elsevier
Publication year: 2010
Volume: 36
Journal issue: 2-3
Pages range: 142-151
ISSN: 0167-8191


Abstract

This paper describes a method for the fully resolved simulation of particle laden flows. For this purpose, we discuss the parallelization of large scale coupled fluid structure interaction with up to 37 million geometrically modeled moving objects incorporated in the flow. The simulation is performed using a 3D lattice Boltzmann solver for the fluid flow and a so-called rigid body physics engine for the treatment of the objects. The numerical algorithms and the parallelization are discussed in detail. Furthermore, performance results are presented for test cases on up to 8192 processor cores running on an SGI Altix supercomputer. The approach enables a detailed simulation of large scale particulate flows that are relevant for many industrial applications. © 2010 Elsevier B.V. All rights reserved.


FAU Authors / FAU Editors

Donath, Stefan Dr.-Ing.
Lehrstuhl für Informatik 10 (Systemsimulation)
Feichtinger, Christian Dr.-Ing.
Lehrstuhl für Informatik 10 (Systemsimulation)
Götz, Jan Dr.-Ing.
Lehrstuhl für Informatik 10 (Systemsimulation)
Iglberger, Klaus Dr.-Ing.
Zentralinstitut für Scientific Computing (ZISC)
Rüde, Ulrich Prof. Dr.
Lehrstuhl für Informatik 10 (Systemsimulation)


Additional Organisation
Exzellenz-Cluster Engineering of Advanced Materials


Research Fields

A3 Multiscale Modeling and Simulation
Exzellenz-Cluster Engineering of Advanced Materials


How to cite

APA:
Götz, J., Iglberger, K., Feichtinger, C., Donath, S., & Rüde, U. (2010). Coupling multibody dynamics and computational fluid dynamics on 8192 processor cores. Parallel Computing, 36(2-3), 142-151. https://dx.doi.org/10.1016/j.parco.2010.01.005

MLA:
Götz, Jan, et al. "Coupling multibody dynamics and computational fluid dynamics on 8192 processor cores." Parallel Computing 36.2-3 (2010): 142-151.

BibTeX: 

Last updated on 2018-20-08 at 12:23