SCALING OF DISCRETE ELEMENT MODEL PARAMETERS FOR COHESIONLESS AND COHESIVE SOLID
By S. C. Thakur, Jin Y. Ooi, Hossein Ahmadian. 2015
160 citations recorded by the source corpus.
Abstract One of the major shortcomings of discrete element modelling (DEM) is the computational cost required when the number of particles is huge, especially for fine powders and/or industry scale simulations. This study investigates the scaling of model parameters that is necessary to produce scale independent predictions for cohesionless and cohesive solid under quasi-static simulation of confined compression and unconfined compression to failure in uniaxial test. A bilinear elasto-plastic adhesive frictional contact model was used. The results show that contact stiffness (both normal and tangential) for loading and unloading scales linearly with the particle size and the adhesive force scales very well with the square of the particle size. This scaling law would allow scaled up particle DEM model to exhibit a bulk mechanical loading response in uniaxial test that is similar to a material comprised of much smaller particles. This is a first step towards a mesoscopic representation of a cohesive powder that is phenomenological based to produce the key bulk characteristics of a cohesive solid and has the potential to gain considerable computational advantage for industry scale DEM simulations.
Subfields: Computational Mechanics, Materials Chemistry, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/eda068643296b8b326c3076d63ab0d27988b9f1e
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In Computational Mechanics
In Materials Chemistry
In Mechanics of Materials
Citations in the corpus
- Probabilistic calibration of discrete element simulations using the sequential quasi-Monte Carlo filter (2018, background): “4 verifies a scaling rule [48]: the macroscopic behavior of a granular material can be recovered from a “prototype” DEM packing with a minimal number of grains, as long as the same bulk properties, such as initial void ratios and stress states, are”