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Data-driven model order reduction for granular media
Umeå University, Faculty of Science and Technology, Department of Physics. (Digital fysik)
Umeå University, Faculty of Science and Technology, Department of Physics. (Digital Physics)ORCID iD: 0000-0002-0787-4988
2022 (English)In: Computational Particle Mechanics, ISSN 2196-4378, Vol. 9, p. 15-28Article in journal (Refereed) Published
Abstract [en]

We investigate the use of reduced-order modelling to run discrete element simulations at higher speeds. Taking a data-drivenapproach, we run many offline simulations in advance and train a model to predict the velocity field from the mass distributionand system control signals. Rapid model inference of particle velocities replaces the intense process of computing contactforces and velocity updates. In coupled DEM and multibody system simulation, the predictor model can be trained to outputthe interfacial reaction forces as well. An adaptive model order reduction technique is investigated, decomposing the mediain domains of solid, liquid, and gaseous state. The model reduction is applied to solid and liquid domains where the particlemotion is strongly correlated with the mean flow, while resolved DEM is used for gaseous domains. Using a ridge regressionpredictor, the performance is tested on simulations of a pile discharge and bulldozing. The measured accuracy is about 90%and 65%, respectively, and the speed-up range between 10 and 60. 

Place, publisher, year, edition, pages
Springer Nature, 2022. Vol. 9, p. 15-28
National Category
Other Physics Topics Applied Mechanics
Research subject
Physics
Identifiers
URN: urn:nbn:se:umu:diva-169604DOI: 10.1007/s40571-020-00387-6ISI: 000616428800001Scopus ID: 2-s2.0-85101460553OAI: oai:DiVA.org:umu-169604DiVA, id: diva2:1422771
Funder
Vinnova, 2019-04832eSSENCE - An eScience CollaborationAvailable from: 2020-04-08 Created: 2020-04-08 Last updated: 2023-03-24Bibliographically approved

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Wallin, ErikServin, Martin

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Output format
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