Measuring and predicting the angle of repose of granular matter from clump and potential particles DEM approaches

Vasileios Angelidakis*, Sacha Duverger, Sadegh Nadimi, Stefano Utili, Stéphane Bonelli, Pierre Philippe, Jérôme Duriez

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Downloads (Pure)

Abstract

The angle of repose (AoR) is a widely employed measurement for granular materials that is currently used by various industries to characterise the behaviour of powders, soils and grains. This study proposes a new measurement technique for the AoR, and applies it on numerical models of two recently developed devices to measure the AoR by means of Discrete Element Simulations, for plane-strain and axisymmetric repose states. 3D-printed rounded tetrahedral particles are simulated using two numerical modelling strategies, namely concave multi-spheres (clumps) and convex potential particles, to explore the effect of particle shape on the AoR, and comparisons are drawn against experimental evidence. Then, a campaign of drained triaxial compression tests is carried out for a wide range of confining pressures to investigate if any correlations exist between the AoR and constitutive (peak and critical-state) friction angles.
Original languageEnglish
Title of host publicationBook of abstracts of the International Symposium on Geomechanics from Micro to Macro, IS-Grenoble 2024
EditorsChristophe Dano, Cino Viggiani, Pierre Besuelle
Pages196-197
Number of pages2
ISBN (Electronic)9791041551392
Publication statusPublished - 06 Sept 2024
Event5th International Symposium on Geomechanics from Micro to Macro - Grenoble, France
Duration: 23 Sept 202427 Sept 2024
Conference number: 5
https://is-grenoble2024.sciencesconf.org

Conference

Conference5th International Symposium on Geomechanics from Micro to Macro
Abbreviated titleIS-Grenoble 2024
Country/TerritoryFrance
CityGrenoble
Period23/09/202427/09/2024
Internet address

Fingerprint

Dive into the research topics of 'Measuring and predicting the angle of repose of granular matter from clump and potential particles DEM approaches'. Together they form a unique fingerprint.

Cite this