Damilola Adekanye
Graphics processing unit accelerated lattice Boltzmann method simulations of dilute gravity currents
Adekanye, Damilola; Khan, Amirul; Burns, Alan; McCaffrey, William; Geier, Martin; Schönherr, Martin; Dorrell, Robert
Authors
Amirul Khan
Alan Burns
William McCaffrey
Martin Geier
Martin Schönherr
Robert Dorrell
Abstract
Lattice Boltzmann method models offer a novel framework for the simulation of high Reynolds number dilute gravity currents. The numerical algorithm is well suited to acceleration via implementation on massively parallel computer architectures. Here, we present two lattice Boltzmann method models of lock-exchange dilute gravity currents in which the largest turbulent length scales are directly resolved. The three-dimensional simulations are accelerated by exporting computations to a graphics processing unit and are validated against experiments and high-resolution simulations for Reynolds numbers up to 30 000. The lattice Boltzmann method models achieve equivalent accuracy to conventional large-eddy simulation models in the prediction of key flow properties. A conservative analysis of computational performance relative to conventional methods indicates that the presented framework reduces simulation times by two orders of magnitude. Therefore, it can be used as a foundation for the development of depth-resolving models that capture more of the complexity of environmental gravity currents.
Citation
Adekanye, D., Khan, A., Burns, A., McCaffrey, W., Geier, M., Schönherr, M., & Dorrell, R. (2022). Graphics processing unit accelerated lattice Boltzmann method simulations of dilute gravity currents. Physics of Fluids, 34(4), Article 046602. https://doi.org/10.1063/5.0082959
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 7, 2022 |
Online Publication Date | Apr 7, 2022 |
Publication Date | Apr 1, 2022 |
Deposit Date | Feb 19, 2024 |
Publicly Available Date | Feb 20, 2024 |
Journal | Physics of Fluids |
Print ISSN | 1070-6631 |
Publisher | American Institute of Physics |
Peer Reviewed | Peer Reviewed |
Volume | 34 |
Issue | 4 |
Article Number | 046602 |
DOI | https://doi.org/10.1063/5.0082959 |
Keywords | Graphics processing units; Gravity currents; Lattice Boltzmann methods |
Public URL | https://hull-repository.worktribe.com/output/3903858 |
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Copyright Statement
© 2022 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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