Calibration of granular material parameters for DEM modelling and numerical verification by blade–granular material interaction

The discrete element method (DEM) is a promising approach to model blade–granular material interactions. The accuracy of DEM models depends on the model parameters. In this study, a calibration process was developed to determine the parameter values. The particle size was the same as the real materi...

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Veröffentlicht in:Journal of terramechanics 2009-02, Vol.46 (1), p.15-26
Hauptverfasser: Coetzee, C.J., Els, D.N.J.
Format: Artikel
Sprache:eng
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Zusammenfassung:The discrete element method (DEM) is a promising approach to model blade–granular material interactions. The accuracy of DEM models depends on the model parameters. In this study, a calibration process was developed to determine the parameter values. The particle size was the same as the real material and the particle shape was modelled using two spherical particles rigidly clumped together to form a single grain. Laboratory shear tests and compressions tests were used to determine the material internal friction angle and stiffness, respectively. These tests were replicated numerically using DEM models with different sets of particle friction coefficients and particle stiffness values. The shear test results are found to be dependent on both the particle friction coefficient and the particle stiffness. The compression test results show that it is only dependent on the particle stiffness. The combination of shear test and compression test results can be used to determine a unique set of particle friction and particle stiffness values. The calibration process was validated experimentally and numerically by modelling a blade moving through granular material. Results show that the forces acting on the blade can be accurately modelled with DEM and the maximum error is found to be 26%. The relative particle-blade displacements were used to predict the position and shape of the shear lines in front of the blade. A good qualitative correlation was achieved between the experiments and the DEM simulations.
ISSN:0022-4898
1879-1204
DOI:10.1016/j.jterra.2008.12.004