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dc.contributor.authorPacevič, Ruslan
dc.contributor.authorKačeniauskas, Arnas
dc.contributor.authorBarauskas, Rimantas
dc.date.accessioned2023-09-18T17:00:12Z
dc.date.available2023-09-18T17:00:12Z
dc.date.issued2018
dc.identifier.issn1822-2951
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/118777
dc.description.abstractThe paper presents novel GPGPU algorithm for fast DEM computations of granular flows. Modern implementation of the uniform grid method for collision detection significantly speed-ups DEM computations on GPU. The performance of the developed code is evaluated solving applications of gravity packing and hopper discharge. The performance measured on GPU is compared with that attained on CPU for different numbers of particles. The gravity packing of particles is simulated to test the robustness of the developed algorithms in terms of numerical stability. Kinetic energy of particle system decreases due to friction reaching quasi-static conditions. Granular hopper flows are examined computing the discharge rate.eng
dc.format.extentp. 126-130
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.titleFast computations of granular flows by the discrete element method
dc.typeStraipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publication
dcterms.references30
dc.type.pubtypeP1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings
dc.contributor.institutionKauno technologijos universitetas Vilniaus Gedimino technikos universitetas
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionKauno technologijos universitetas
dc.contributor.facultyTeritorijų planavimo mokslo institutas / Research Institute of Territorial Planning
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.enthe discrete element method
dc.subject.engranular flows
dc.subject.enGPGPU computing
dc.subject.encollision detection
dc.subject.enhopper discharge
dcterms.sourcetitleMechanika 2018: proceedings of the 23rd international scientific conference, 18 May 2018, Kaunas University of Technology, Lithuania / Kaunas University of Technology, Lithuanian Academy of Science, IFTOMM National Committee of Lithuania, Baltic Association of Mechanical Engineering
dc.publisher.nameKaunas university of technology
dc.publisher.cityKaunas
dc.identifier.elaba28837598


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