Print Email Facebook Twitter A hybrid particle-geometric scaling approach for elasto-plastic adhesive DEM contact models Title A hybrid particle-geometric scaling approach for elasto-plastic adhesive DEM contact models Author Mohajeri, M. (TU Delft Transport Engineering and Logistics) Helmons, R.L.J. (TU Delft Offshore and Dredging Engineering) van Rhee, C. (TU Delft Offshore and Dredging Engineering; TU Delft Rivers, Ports, Waterways and Dredging Engineering) Schott, D.L. (TU Delft Transport Engineering and Logistics) Date 2020 Abstract The computation time of Discrete Element Method (DEM) simulations increases exponentially when particle size is reduced or the number of particles increased. This critical challenge limits the use of DEM simulation for industrial applications, such as powder flow in silos. Scaling techniques can offer a solution to reduce computation time. In this paper, we have developed a hybrid particle-geometric scaling approach with a focus on Elasto-Plastic Adhesive contact models. It established relationships between particle scaling factors and DEM contact input parameters. The isolated effects of varying particle size and geometric dimensions on bulk properties were also evaluated using uniaxial consolidation, static angle of repose, and ring shear tests. This paper shows how the particle scaling can be applied together with geometric scaling to incorporate two important aspects of bulk materials, their Elasto-Plastic behaviour and their cohesive forces. Subject Angle of reposeCoarse grainingCohesive bulk materialsParticle-geometric scalingRing shear testUni-axial consolidation To reference this document use: http://resolver.tudelft.nl/uuid:4c951dde-de88-4133-89ab-675488531b59 DOI https://doi.org/10.1016/j.powtec.2020.05.012 ISSN 0032-5910 Source Powder Technology, 369, 72-87 Part of collection Institutional Repository Document type journal article Rights © 2020 M. Mohajeri, R.L.J. Helmons, C. van Rhee, D.L. Schott Files PDF 1_s2.0_S0032591020303739_main.pdf 3.44 MB Close viewer /islandora/object/uuid:4c951dde-de88-4133-89ab-675488531b59/datastream/OBJ/view