2016
DOI: 10.1038/ncomms10630
|View full text |Cite
|
Sign up to set email alerts
|

A dilation-driven vortex flow in sheared granular materials explains a rheometric anomaly

Abstract: Granular flows occur widely in nature and industry, yet a continuum description that captures their important features is yet not at hand. Recent experiments on granular materials sheared in a cylindrical Couette device revealed a puzzling anomaly, wherein all components of the stress rise nearly exponentially with depth. Here we show, using particle dynamics simulations and imaging experiments, that the stress anomaly arises from a remarkable vortex flow. For the entire range of fill heights explored, we obse… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

5
48
2

Year Published

2017
2017
2024
2024

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 49 publications
(55 citation statements)
references
References 35 publications
5
48
2
Order By: Relevance
“…In flows such as simple shear, a density gradient is set up within the shear layers . The effect of dilatancy need not, however, be confined to the shear layers—we have recently shown in our group that dilatancy causes a large‐scale secondary flow in cylindrical Couette cells, thereby explaining a stress anomaly observed earlier . It is, therefore, of interest to study the distribution of ϕ in this problem.…”
Section: Resultsmentioning
confidence: 89%
See 2 more Smart Citations
“…In flows such as simple shear, a density gradient is set up within the shear layers . The effect of dilatancy need not, however, be confined to the shear layers—we have recently shown in our group that dilatancy causes a large‐scale secondary flow in cylindrical Couette cells, thereby explaining a stress anomaly observed earlier . It is, therefore, of interest to study the distribution of ϕ in this problem.…”
Section: Resultsmentioning
confidence: 89%
“…To mimic the interaction of hard particles like glass beads, which are most commonly used in experiments, the normal and tangential spring stiffness coefficients, knormaln and knormalt are chosen as 106 mnormalpg/dnormalp and 27knormaln, respectively, where mnormalp is the mass of a particle of diameter dnormalp, and g is the acceleration due to gravity. The values of the damping coefficients chosen as are normalγnormaln=180 g/dnormalp, normalγnormalt=1/2 normalγnormaln, and the friction coefficient as μ=0.5, which is in the range of typical values for glass beads .…”
Section: Simulation Methods and System Geometrymentioning
confidence: 99%
See 1 more Smart Citation
“…While being generally well-posed, the compressible µ(I)-rheology was also shown to be unstable for some flow conditions, both at large and small inertial number, calling for a deeper analysis of the unstable modes appearing in compressible flows. Indeed, secondary flows and resonances of dense inertial granular flows may originate from such instabilities (Börzsönyi et al 2009;Trulsson et al 2013;Brodu et al 2015;Krishnaraj & Nott 2016). Although the asymptotic analysis at large wavenumbers provides precious information on the good behaviour of the problem, it is not sufficient to probe the general linear stability picture of the flow, neither its asymptotic stability at long times.…”
Section: Resultsmentioning
confidence: 99%
“…Most previously employed heat equations for calculating temperature rise during earthquakes have assumed that heat diffuses away from the faults merely by conduction (Fialko & Khazan, 2005;Lachenbruch, 1980;Tanaka et al, 2006). However, research in granular physics reveals that sheared granular materials develop transient granular vortices (Combe et al, 2015;Krishnaraj & Nott, 2016;Miller et al, 2013;Radjai & Roux, 2002), which can significantly boost heat transfer across shear layers through solid particle mixing (Rognon & Einav, 2010). The implications of this novel granular convective mechanism of heat transfer in earthquake physics remain unexplored, though previous observations have highlighted its relevance (Rognon & Einav, 2010).…”
Section: Introductionmentioning
confidence: 99%