journal article·2016-08

Representative elementary volume analysis of polydisperse granular packings using discrete element method

Joanna Wiącek, Marek Molenda

Particuology· Volume 27
Publisher page

Abstract

Abstract The representative elementary volume (REV) for three-dimensional polydisperse granular packings was determined using discrete element method simulations. Granular mixtures of various sizes and particle size distributions were poured into a cuboid chamber and subjected to uniaxial compression. Findings showed that the minimum REV for porosity was larger compared with the REV for parameters such as coordination number, effective elastic modulus, and pressure ratio. The minimum REV for porosity and other parameters was found to equal 15, 10, and 5 times the average grain diameter, respectively. A study of the influence of sample size on energy dissipation in random packing of spheres has also confirmed that the REV size is about 15 times the average grain diameter. The heterogeneity of systems was found to have no effect on the REV for the parameters of interest for the narrow range of coefficient of uniformity analyzed in this paper. As the REV approach is commonly applied in both experimental and numerical studies, determining minimum REV size for polydisperse granular packings remains a crucial issue.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Granular flow and fluidized beds · Geotechnical Engineering and Soil Mechanics · Material Dynamics and Properties

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (47)

Show source-provided references
1. Experimental stick-slip behaviour in triaxial test on granular matter
2. Representative elementary volume analysis of porous media using X-ray computed tomography10.1016/j.powtec.2010.02.011 ↗
3. Discrete element modeling of the mechanical response of pigment containing coating layers under compression10.1016/j.commatsci.2007.06.007 ↗
4. On the concept and size of a representative elementary volume (REV)
5. Bear · 1972
6. Effects of size polydispersity on pharmaceutical particle packings
7. Biarez · 1994
8. Evaluation of laboratory dolomite core sample size using representative elementary volume concepts10.1029/2000WR900017 ↗
9. Representative elementary volume estimation for porosity, moisture saturation, and air–water interfacial areas in unsaturated porous media: Data quality implications10.1029/2010WR009655 ↗
10. A discrete numerical model for granular assemblies10.1680/geot.1979.29.1.47 ↗
11. Studies on direct compression of tablets. XVII. Porosity–pressure curves for the characterization of volume reduction mechanisms in powder compression10.1016/0032-5910(86)80100-0 ↗
12. EDEM · EDEM software platform · 2014
13. eFunda · General properties of steels · 2014
14. Representative volume element sizes for copper bulk polycrystals and thin layers
15. On the size of the representative volume element for isotropic polycrystalline copper
16. Analysis of the statistics of sandpile avalanches using soil-mechanics results and concepts10.1103/PhysRevA.43.2720 ↗
17. Macroscopic continuous approach versus discrete approach, fluctuations, criticality and SOC. A state of the question based on articles in Powders & Grains 2001
18. Eurocode 1—actions on structures. Part 4. Silos and tanks
19. Compression mechanics of granule beds: A combined finite/discrete element study10.1016/j.ces.2009.12.029 ↗
20. Quantification of stochastically stable representative volumes for random heterogeneous materials10.1007/s00419-005-0411-8 ↗
21. Representative volumes of materials based on micro-structural statistics10.1016/S1359-6462(02)00362-7 ↗
22. Discharge characteristics of polydisperse powders through conical hoppers. Part 1: Predictions for fine, granular, free flowing powders10.1080/02726350490501565 ↗
23. Experimental study of critical-mass fluctuations in an evolving sandpile10.1103/PhysRevLett.65.1120 ↗
24. Johnson · 1985
25. Kezdi · 1974
26. Lal · 2004
27. Experiments and numerical simulations with 2D discs assembly10.1016/S0032-5910(99)00237-5 ↗
28. Effect of particle mechanical properties on silo flow and stresses from distinct element simulations10.1016/S0032-5910(99)00234-X ↗
29. FEM×DEM modelling of cohesive granular materials: Numerical homogenization and multi-scale simulations10.2478/s11600-014-0228-3 ↗
30. Investigation of grain size effects on micro/macro-mechanical properties of intact rock using Voronoi element-discrete element method approach10.1080/02726351.2013.782929 ↗
31. Influence of particle shape and sample width on uniaxial compression of assembly of prolate spheroids examined by discrete element method10.1016/j.physa.2014.08.063 ↗
32. Representative elementary volume analysis of sands using X-ray computed tomography10.1520/GTJ100164 ↗
33. Uniaxial compression of rapeseed using apparatus with cuboid chamber
34. Elasto-plastic interpretation of oedometric test
35. Numerical aspects of computational homogenization10.7494/cmms.2013.2.0432 ↗
36. Representative volume element for non-uniform microstructure10.1016/S0927-0256(01)00257-9 ↗
37. Numerical studies of uniaxial powder compaction process by 3D DEM10.1108/02644400410519802 ↗
38. Computations of size effects in granular bodies within micro-polar hypoplasticity during plane strain compression10.1016/j.ijsolstr.2007.10.007 ↗
39. Numerical simulations of deviatoric shear deformation of granular media10.1680/geot.2000.50.1.43 ↗
40. Representative elementary volumes for 3D modeling of mass transport in cementitious materials10.1088/0965-0393/22/3/035001 ↗
41. Influence of grain shape and intergranular friction on material behavior in uniaxial compression: Experimental and DEM modeling10.1016/j.powtec.2011.10.060 ↗
42. Experimental and numerical determination of representative elementary volume for granular plant materials10.1007/s10035-012-0351-2 ↗
43. Effect of particle polydsipersity on micromechanical properties and energy dissipation in granular mixtures10.1016/j.partic.2013.11.006 ↗
44. Effect of particle size distribution on micro- and macromechanical response of granular packings under compression10.1016/j.ijsolstr.2014.06.029 ↗
45. Multiscale force networks in highly polydisperse granular media10.1103/PhysRevLett.102.178001 ↗
46. Effects of particle size distribution, surface area and chemical composition on Portland cement strength10.1016/0032-5910(94)02964-P ↗
47. Pore scale study of flow in porous media: Scale dependency, REV, and statistical REV10.1029/1999GL011101 ↗