The Discrete Element Method (DEM) is useful for modelling granular flow. The accuracy of DEM modelling is dependent upon the model parameter values used. Determining these values remains one of the main challenges. In this study a method for determining the parameters of cohesionless granular material is presented. The particle size and density were directly measured and modelled. The particle shapes were modelled using two to four spheres clumped together. The remaining unknown parameter values were determined using confined compression tests and angle of repose tests. This was done by conducting laboratory experiments followed by equivalent numerical experiments and iteratively changing the parameters until the laboratory results were replicated. The modelling results of the confined compression tests were mainly influenced by the particle stiffness. The modelling results of the angle of repose tests were dependent on both the particle stiffness and the particle friction coefficient. From these observations, the confined compression test could be used to determine the particle stiffness and with the stiffness known, the angle of repose test could be used to determine the particle friction coefficient. Usually DEM codes do not solve the equations of motion for so-called walls (non-granular structural elements). However, in this study a dynamic model of a dragline bucket is developed and implemented in a commercial DEM code which allows the dynamics of the walls to be modelled. The DEM modelling of large systems of particles is still a challenge and procedures to simplify and speed up the modelling of dragline bucket filling are presented. Using the calibrated parameters, numerical results of bucket filling are compared to experimental results. The model accurately predicted the orientation of the bucket. The model also accurately predicted the drag force over the first third of the drag, but predicted drag forces too high for the subsequent part of the drag.
[1]
Caroline Hogue,et al.
Shape representation and contact detection for discrete element simulations of arbitrary geometries
,
1998
.
[2]
Pieter A. Vermeer,et al.
Continuous and Discontinuous Modelling of Cohesive-Frictional Materials
,
2010
.
[3]
Schalk Willem Petrus Esterhuyse.
The influence of geometry on dragline bucket filling performance
,
1997
.
[4]
R. D. Mindlin.
Elastic Spheres in Contact Under Varying Oblique Forces
,
1953
.
[5]
J. C. Rowlands,et al.
Dragline bucket filling
,
1992
.
[6]
T Pöschel,et al.
Scaling properties of granular materials.
,
2001,
Physical review. E, Statistical, nonlinear, and soft matter physics.
[7]
P. Cundall,et al.
A discrete numerical model for granular assemblies
,
1979
.
[8]
W. J. Whiten,et al.
The calculation of contact forces between particles using spring and damping models
,
1996
.
[9]
John W. H. Price,et al.
Fracture mechanics of mining dragline booms
,
2004
.
[10]
R. L. Braun,et al.
Viscosity, granular‐temperature, and stress calculations for shearing assemblies of inelastic, frictional disks
,
1986
.
[11]
Paul W. Cleary,et al.
THREE-DIMENSIONAL MODELLING OF INDUSTRIAL GRANULAR FLOWS
,
1999
.
[12]
Edward McKyes,et al.
Soil Cutting and Tillage
,
1986
.
[13]
H. Landry,et al.
Discrete element modeling of machine-manure interactions
,
2006
.