A GPGPU implementation of the discrete element method applied to modeling the dynamic particulate environment inside a tumbling mill

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dc.contributor.advisorGovender, Indresanen_ZA
dc.contributor.advisorWheaton, Spenceren_ZA
dc.contributor.authorHromnik, Mariusen_ZA
dc.date.accessioned2014-11-28T09:56:05Z
dc.date.available2014-11-28T09:56:05Z
dc.date.issued2013en_ZA
dc.descriptionIncludes bibliographical references.en_ZA
dc.description.abstractTumbling mills have been an integral part of the comminution circuit for more than a century. With the advent of better computing, discrete element modeling (DEM) has taken on the challenge to model the dynamic particulate environment inside these devices in the search for understanding and hence improving the process of the size reduction of ore. This process represents a large percentage of the energy consumption of a mine. In this work, a discrete element modeling tool was built on a GPU-based platform to perform simulations on a single commodity hardware PC. With a view to elucidating the governing mechanisms inside such devices, the extreme capabilities of the GPU are utilised to provide performance and accurate simulation. The simulation environment offers control that can never be achieved in an experimental setup. Notwithstanding, when agreement with physical experiment is achieved, confidence can be gained in the computational results. In this work the foundations and framework for a large scale GPU based discrete element modeling tool have been built with an emphasis on strict physics requirements, rather than on performance or appearance. In this regard we demonstrate the validity of the GPU implementation of a Hertz-Mindlin-based contact model.en_ZA
dc.identifier.apacitationHromnik, M. (2013). <i>A GPGPU implementation of the discrete element method applied to modeling the dynamic particulate environment inside a tumbling mill</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Physics. Retrieved from http://hdl.handle.net/11427/9813en_ZA
dc.identifier.chicagocitationHromnik, Marius. <i>"A GPGPU implementation of the discrete element method applied to modeling the dynamic particulate environment inside a tumbling mill."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Physics, 2013. http://hdl.handle.net/11427/9813en_ZA
dc.identifier.citationHromnik, M. 2013. A GPGPU implementation of the discrete element method applied to modeling the dynamic particulate environment inside a tumbling mill. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Hromnik, Marius AB - Tumbling mills have been an integral part of the comminution circuit for more than a century. With the advent of better computing, discrete element modeling (DEM) has taken on the challenge to model the dynamic particulate environment inside these devices in the search for understanding and hence improving the process of the size reduction of ore. This process represents a large percentage of the energy consumption of a mine. In this work, a discrete element modeling tool was built on a GPU-based platform to perform simulations on a single commodity hardware PC. With a view to elucidating the governing mechanisms inside such devices, the extreme capabilities of the GPU are utilised to provide performance and accurate simulation. The simulation environment offers control that can never be achieved in an experimental setup. Notwithstanding, when agreement with physical experiment is achieved, confidence can be gained in the computational results. In this work the foundations and framework for a large scale GPU based discrete element modeling tool have been built with an emphasis on strict physics requirements, rather than on performance or appearance. In this regard we demonstrate the validity of the GPU implementation of a Hertz-Mindlin-based contact model. DA - 2013 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2013 T1 - A GPGPU implementation of the discrete element method applied to modeling the dynamic particulate environment inside a tumbling mill TI - A GPGPU implementation of the discrete element method applied to modeling the dynamic particulate environment inside a tumbling mill UR - http://hdl.handle.net/11427/9813 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/9813
dc.identifier.vancouvercitationHromnik M. A GPGPU implementation of the discrete element method applied to modeling the dynamic particulate environment inside a tumbling mill. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Physics, 2013 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/9813en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Physicsen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.titleA GPGPU implementation of the discrete element method applied to modeling the dynamic particulate environment inside a tumbling millen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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