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Sakai M. How should the discrete element method be applied in industrial systems?: a review. Kona Powder and Particle Journal, 2016, 33: 169–178
Guo Y, Curtis J S. Discrete element method simulations for complex granular flows. Annual Review of Fluid Mechanics, 2015, 47(1): 21–46
Zhu H, Zhou Z, Yang R, Yu A. Discrete particle simulation of particulate systems: a review of major applications and findings. Chemical Engineering Science, 2008, 63(23): 5728–5770
Jarray A, Habibi M, Scheper B J, Shi H, Luding S. Mixing of bidisperse cohesive granular materials in food processes. International Journal of Food Engineering, 2019, 5(3): 195–199
Coetzee C J. Review: calibration of the discrete element method. Powder Technology, 2017, 310: 104–142
Marigo M, Stitt E H. Discrete element method (DEM) for industrial applications: comments on calibration and validation for the modelling of cylindrical pellets. Kona Powder and Particle Journal, 2015, 32(0): 236–252
Roessler T, Katterfeld A. Scaling of the angle of repose test and its influence on the calibration of DEM parameters using upscaled particles. Powder Technology, 2018, 330: 58–66
Combarros M, Feise H, Zetzener H, Kwade A. Segregation of particulate solids: experiments and DEM simulations. Particuology, 2014, 12: 25–32
Yan Z, Wilkinson S, Stitt E, Marigo M. Discrete element modelling (DEM) input parameters: understanding their impact on model predictions using statistical analysis. Computational Particle Mechanics, 2015, 2(3): 283–299
Alizadeh M, Asachi M, Ghadiri M, Bayly A, Hassanpour A. A methodology for calibration of DEM input parameters in simulation of segregation of powder mixtures, a special focus on adhesion. Powder Technology, 2018, 339: 789–800
Wensrich C, Katterfeld A. Rolling friction as a technique for modelling particle shape in DEM. Powder Technology, 2012, 217: 409–417
Simons T A, Weiler R, Strege S, Bensmann S, Schilling M, Kwade A. A ring shear tester as calibration experiment for DEM simulations in agitated mixers—a sensitivity study. Procedia Engineering, 2015, 102: 741–748
Bednarek X, Martin S, Ndiaye A, Peres V, Bonnefoy O. Calibration of DEM parameters on shear test experiments using Kriging method. Powders and Grains 2017. Les Ulis: EDP Sciences, 2017, 15016
Schulze D. Powders and Bulk Solids: Behavior, Characterization, Storage and Flow. 1st ed. Berlin Heidelberg: Springer, 2008, 35–74
Huang H, Tutumluer E. Discrete element modeling for fouled railroad ballast. Construction & Building Materials, 2011, 25(8): 3306–3312
Rackl M, Hanley K J. A methodical calibration procedure for discrete element models. Powder Technology, 2017, 307: 73–83
Figard S D. The basics of experimental design for multivariate analysis. In: SAS Global Forum. Buckinghamshire: SAS Institute Inc., 2009, 284
Hanley K J, O’Sullivan C, Oliveira J C, Cronin K, Byrne E P. Application of Taguchi methods to DEM calibration of bonded agglomerates. Powder Technology, 2011, 210(3): 230–240
Johnstone M, Ooi J. Calibration of DEM models using rotating drum and confined compression measurements. In: 6th World Congress on Particle Technology. Nuremberg, 2010
Kloss C, Goniva C, Hager A, Amberger S, Pirker S. Models, algorithms and validation for opensource DEM and CFD-DEM. Progress in Computational Fluid Dynamics, an International Journal, 2012, 12(2–3): 140–152
Chen X, Elliott J A. On the scaling law of JKR contact model for coarse-grained cohesive particles. Chemical Engineering Science, 2020, 227: 115906
Johnson K, Kendall K, Roberts A. Surface energy and the contact of elastic solids. In: Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences. London: The Royal Society, 1971, 301–313
J M P. Version 15. Buckinghamshire: SAS Institute Inc., 2019
Ajmal M, Roessler T, Richter C, Katterfeld A. Calibration of cohesive DEM parameters under rapid flow conditions and low consolidation stresses. Powder Technology, 2020, 374: 22–32
Pachón-Morales J, Do H, Colin J, Puel F, Perre P, Schott D. DEM modelling for flow of cohesive lignocellulosic biomass powders: model calibration using bulk tests. Advanced Powder Technology, 2019, 30(4): 732–750
ASTM International. Standard Test Method for Bulk Solids Using Schulze Ring Shear Tester. West Conshohocken, PA: ASTM International, 2016
Proust M. Design of Experiments Guide. 1st ed. Cary, NC: SAS Institute Inc., 2010, 298–300
Box G E, Hunter W G, Hunter J S. Statistics for Experimenters. 1st ed. New York: John Wiley and Sons, 1978, 173–200
Johnson P A, Savage H, Knuth M, Gomberg J, Marone C. Effects of acoustic waves on stick-slip in granular media and implications for earthquakes. Nature, 2008, 451(7174): 57–60
Dorostkar O, Carmeliet J. Potential energy as metric for understanding stick-slip dynamics in sheared granular fault gouge: a coupled CFD-DEM study. Rock Mechanics and Rock Engineering, 2018, 51(10): 3281–3294
Lieou C K, Daub E G, Guyer R A, Ecke R E, Marone C, Johnson P A. Simulating stick-slip failure in a sheared granular layer using a physics-based constitutive model. Journal of Geophysical Research. Solid Earth, 2017, 122(1): 295–307
Klaumünzer D N M. Stick-slip shear banding in metallic glasses. Dissertation for the Doctoral Degree. Zurich: Eidgenössische Technische Hochschule Zürich, 2012, 25–56
Cabiscol R, Finke J, Zetzener H, Kwade A. Characterization of mechanical property distributions on tablet surfaces. Pharmaceutics, 2018, 10(4): 184
Guo Y, Buettner K, Lane V, Wassgren C, Ketterhagen W, Hancock B, Curtis J. Computational and experimental studies of flexible fiber flows in a normal-stress-fixed shear cell. AIChE Journal. American Institute of Chemical Engineers, 2019, 65(1): 64–74
Aigner A, Schneiderbauer S, Kloss C, Pirker S. Determining the coefficient of friction by shear tester simulation. In: Proceedings of the 3rd International Conference on Particle-Based Methods. Barcelona: CIMNE, 2013, 335–342
