A comparison of discrete element simulations and experiments for ‘sandpiles’ composed of spherical particles

By Yanjie Li, Yong Xu, C. Thornton. 2005

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MATERIAL AND INTERACTION PROPERTIES OF SELECTED GRAINS AND OILSEEDS FOR MODELING DISCRETE PARTICLES (2010, methodology): “The model must use a critical time increment that achieves stability and simulates the true physics with a manageable number of iterations or calculations (O’Sullivan and Bray, 2004; Li et al., 2005).”
Numerical effects derived from en masse filling of agricultural silos in DEM simulations (2012, methodology): “Dtc was estimated from the Rayelight time (tR), which depends on the material in question (Li et al., 2005).”
Discrete element modelling (DEM) input parameters: understanding their impact on model predictions using statistical analysis (2015, background): “Macroscopic bulk behaviours during hopper discharge have been well investigated by other researchers by looking at pressure distribution [50], FR [49,51] and contact force chains [49,52,53].”
Investigation of adequacy of multi-sphere approximation of elliptical particles for DEM simulations (2010, background): “spherical particles is presented by Li et al. [ 63 ].”
Predicting the flow mode from hoppers using the discrete element method (2009, background): “These friction coefficients can be measured experimentally through high-speed video of binary collisions [29,30] or simple sliding experiments [31].”