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dc.contributor.authorQueteschiner, Daniel
dc.contributor.authorLichtenegger, Thomas
dc.contributor.authorSchneiderbaer, Simon
dc.contributor.authorPirker, Stefan
dc.date.accessioned2018-01-29T07:10:41Z
dc.date.available2018-01-29T07:10:41Z
dc.date.issued2017
dc.identifier.isbn978-82-536-1544-8
dc.identifier.issn2387-4295
dc.identifier.urihttp://hdl.handle.net/11250/2480100
dc.description.abstractThe large time and length scales and, not least, the vast number of particles involved in industrial-scale simulations inflate the computational costs of the Discrete Element Method (DEM) excessively. Coarse grain models can help to lower the computational demands significantly. However, for effects that intrinsically depend on particle size, coarse grain models fail to correctly predict the behaviour of the granular system. To solve this problem we have developed a new technique based on the efficient combination of fine-scale and coarse grain DEM models. The method is designed to capture the details of the granular system in spatially confined sub-regions while keeping the computational benefits of the coarse grain model where a lower resolution is sufficient. To this end, our method establishes two-way coupling between resolved and coarse grain parts of the system by volumetric passing of boundary conditions. Even more, multiple levels of coarse-graining may be combined to achieve an optimal balance between accuracy and speedup. This approach enables us to reach large time and length scales while retaining specifics of crucial regions. Furthermore, the presented model can be extended to coupled CFD-DEM simulations, where the resolution of the CFD mesh may be changed adaptively as well.
dc.language.isoeng
dc.publisherSINTEF Academic Press
dc.relation.ispartofProgress in Applied CFD – CFD2017 Selected papers from 12th International Conference on Computational Fluid Dynamics in the Oil & Gas, Metallurgical and Process Industries
dc.relation.ispartofseriesSINTEF Proceedings;2
dc.subjectDEM
dc.subjectMultilevel/Multiscale
dc.titleAdaptive coarse‐graining for large‐scale DEM simulations
dc.title.alternativeProgress in Applied CFD. Selected papers from 10th International Conference on Computational Fluid Dynamics in the Oil & Gas, Metallurgical and Process Industries
dc.typeChapter
dc.typeConference object
dc.typePeer reviewed
dc.description.versionpublishedVersion
dc.subject.nsiVDP::Technology: 500


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