DEM modeling of cone penetration and unconfined compression in cohesive solids

Abstract We present a numerical study on the DEM modeling of cohesive solids using a visco-elasto-plastic frictional adhesive contact model [1]. The capabilities of the contact model to capture the mechanical macroscopic behavior of cohesive materials were investigated by means of cone penetration and unconfined compression simulations. The results show that the simulations are able to reproduce qualitatively the typical trend of the penetration resistance profile in cohesive solid characterized by a steady-state at large penetration depths. The contact model is also capable of capturing the dependence of the penetration resistance on the consolidation stress history. Furthermore, the simulations reproduce the relationship between the unconfined strength and the penetration resistance that has been reported in real cohesive materials. Finally, we investigated the scaling laws of the contact model parameters to produce the same load–deformation behavior invariant of the particle size used in the simulations. The results demonstrate the suitability of the proposed model to simulate complex processes involving cohesive solid at large engineering scale scenarios.

[1]  J. Bray,et al.  Selecting a suitable time step for discrete element simulations that use the central difference time integration scheme , 2004 .

[2]  K. Kendall,et al.  Surface energy and the contact of elastic solids , 1971, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.

[3]  T. Lunne,et al.  Correlation between cone resistance and vane shear strength in some Scandinavian soft to medium stiff clays: Reply , 1976 .

[4]  P. Eberhard,et al.  A discrete element model and its experimental validation for the prediction of draft forces in cohesive soil , 2014 .

[5]  P. Kurup,et al.  CALIBRATION CHAMBER STUDIES OF PIEZOCONE TEST IN COHESIVE SOILS. DISCUSSION AND CLOSURE , 1995 .

[6]  John P. Morrissey,et al.  Discrete element modelling of iron ore pellets to include the effects of moisture and fines , 2013 .

[7]  Fabien Cherblanc,et al.  Influence of liquid bridges on the mechanical behaviour of polydisperse granular materials , 2006 .

[8]  Jian Fei Chen,et al.  Assessment of rolling resistance models in discrete element simulations , 2011 .

[9]  Yoshitsugu Muguruma,et al.  Numerical simulation of particulate flow with liquid bridge between / particles simulation of centrifugal tumbling granulator , 2000 .

[10]  G. Tsiambaos,et al.  Empirical correlations of soil parameters based on Cone Penetration Tests (CPT) for Greek soils , 2003 .

[11]  Jin Y. Ooi,et al.  Micromechanical analysis of cohesive granular materials using the discrete element method with an adhesive elasto-plastic contact model , 2014, Granular Matter.

[12]  Akira Oida,et al.  Simulation of soil deformation and resistance at bar penetration by the Distinct Element Method , 2000 .

[13]  Peter K. Robertson,et al.  Cone-penetration testing in geotechnical practice , 1997 .

[14]  Rui Zhang,et al.  Simulation on mechanical behavior of cohesive soil by Distinct Element Method , 2006 .

[15]  S. Luding Cohesive, frictional powders: contact models for tension , 2008 .

[16]  Carlos Labra,et al.  Advances in the development of the discrete element method for excavation processes , 2012 .

[17]  Scott M. Johnson,et al.  Simulating the Effects of Interparticle Cohesion in Micron‐Scale Powders , 2009 .

[18]  Jin Y. Ooi,et al.  Scaling Of Discrete Element Model Parameters In Uniaxial Test Simulation , 2013 .

[19]  Jin Y. Ooi,et al.  Numerical investigation of particle shape and particle friction on limiting bulk friction in direct shear tests and comparison with experiments , 2011 .

[20]  Toshitsugu Tanaka,et al.  3-D DEM simulation of cohesive soil-pushing behavior by bulldozer blade , 2012 .

[21]  Wei Wu,et al.  Numerical study of miniature penetrometer in granular material by discrete element method , 2012 .

[22]  M F Randolph,et al.  A numerical study of cone penetration in clay , 2004 .

[23]  Hai-Sui Yu,et al.  Discrete element modelling of deep penetration in granular soils , 2006 .

[24]  Hehua Zhu,et al.  Modeling shear behavior and strain localization in cemented sands by two-dimensional distinct element method analyses , 2011 .

[25]  Vincent Richefeu,et al.  A model of capillary cohesion for numerical simulations of 3D polydisperse granular media , 2008 .

[26]  Joanna Butlanska,et al.  Cone penetration test in a virtual calibration chamber , 2014 .

[27]  S. Thakur,et al.  An experimental and numerical study of packing, compression, and caking behaviour of detergent powders , 2014 .

[28]  Jean-Noël Roux,et al.  Rheophysics of dense granular materials: discrete simulation of plane shear flows. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[29]  P. Cundall,et al.  A discrete numerical model for granular assemblies , 1979 .

[30]  David R. Owen,et al.  On upscaling of discrete element models: similarity principles , 2009 .

[31]  R. Nova,et al.  DEM analysis of bonded granular geomaterials , 2008 .

[32]  Torsten Gröger,et al.  Modelling and measuring of cohesion in wet granular materials , 2003 .

[33]  John H. Schmertmann,et al.  Measurement of In Situ Shear Strength , 1975 .

[34]  Peter K. Robertson,et al.  Interpretation of cone penetration tests. Part I: Sand , 1983 .