Grain-Size Effects on Mechanical Behavior and Failure of Dense Cohesive Granular Materials

Payam Poorsolhjouy, Anil Misra (Corresponding author)

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

5 Citaten (Scopus)
39 Downloads (Pure)

Samenvatting

The grain sizes can significantly influence the granular mechano-morphology, and consequently, the macro-scale mechanical response. From a purely geometric viewpoint, changing grain size will affect the volumetric number density of grain-pair interactions as well as the neighborhood geometry. In addition, changing grain size can influence initial stiffness and damage behavior of grain-pair interactions. The granular micromechanics approach (GMA), which provides a paradigm for bridging the grain-scale to continuum models, has the capability of describing the grain size influence in terms of both geometric effects and grain-pair deformation/dissipation effects. Here the GMA based Cauchy-type continuum model is enhanced using simple power laws to simulate the effect of grain size upon the volumetric number density of grain-pair interactions, and the parameters governing grain-pair deformation and dissipation mechanisms. The enhanced model is applied to predict the macroscopic response of cohesive granular solids under conventional triaxial tests. The results show that decreasing grain-sizes can trigger brittle-to-ductile transition in failure. Grain size is found to affect the compression/dilatation behavior as well as the post-peak softening/hardening of granular materials. The macro-scale failure/yield stress is also found to have an inverse relationship with grain-sizes in consonance with what has been reported in the literature.

Originele taal-2Engels
Pagina's (van-tot)193-207
Aantal pagina's15
TijdschriftKONA Powder and Particle Journal
Volume39
DOI's
StatusGepubliceerd - 2022

Bibliografische nota

Funding Information:
This research is supported in part by the United States National Science Foundation grant CMMI-1068528 and CMMI-1727433

Financiering

This research is supported in part by the United States National Science Foundation grant CMMI-1068528 and CMMI-1727433

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