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Adaptive model reduction for nonsmooth discrete element simulation
Umeå University, Faculty of Science and Technology, Department of Physics.
Umeå University, Faculty of Science and Technology, Department of Physics.
2016 (English)In: Computational Particle Mechanics, ISSN 2196-4386, Vol. 3, no 1, 107-121 p.Article in journal (Refereed) Published
Abstract [en]

A method for adaptive model order reduction for nonsmooth discreteelement simulation is developed and analysed in numerical experiments.Regions of the granular media that collectively move as rigid bodies aresubstituted with rigid bodies of the corresponding shape and mass dis-tribution. The method also support particles merging with articulatedmultibody systems. A model approximation error is defined used for de-riving and conditions for when and where to apply model reduction andrefinement back into particles and smaller rigid bodies. Three methodsfor refinement are proposed and tested: prediction from contact events,trial solutions computed in the background and using split sensors. Thecomputational performance can be i

Place, publisher, year, edition, pages
Springer, 2016. Vol. 3, no 1, 107-121 p.
Keyword [en]
Discrete elements Nonsmooth contact dynamics Adaptive model reduction Merge and split
National Category
Computational Mathematics Physical Sciences
Research subject
Physics; Numerical Analysis
Identifiers
URN: urn:nbn:se:umu:diva-116879DOI: 10.1007/s40571-015-0100-5OAI: oai:DiVA.org:umu-116879DiVA: diva2:903266
Funder
VINNOVA, 2014-01901
Available from: 2016-02-15 Created: 2016-02-15 Last updated: 2016-02-17Bibliographically approved

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