2016
DOI: 10.1017/jfm.2016.673
|View full text |Cite
|
Sign up to set email alerts
|

Segregation-induced finger formation in granular free-surface flows

Abstract: Geophysical granular flows, such as landslides, pyroclastic flows and snow avalanches, consist of particles with varying surface roughnesses or shapes that have a tendency to segregate during flow due to size differences. Such segregation leads to the formation of regions with different frictional properties, which in turn can feed back on the bulk flow. This paper introduces a well-posed depth-averaged model for these segregationmobility feedback effects. The full segregation equation for dense granular flows… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

3
92
1
1

Year Published

2017
2017
2022
2022

Publication Types

Select...
9

Relationship

3
6

Authors

Journals

citations
Cited by 51 publications
(97 citation statements)
references
References 60 publications
3
92
1
1
Order By: Relevance
“…Numerical solutions are calculated using a high-resolution semi-discrete nonoscillatory central (NOC) scheme for convection-diffusion equations (Kurganov & Tadmor 2000). This method has proved its ability to solve similar systems of conservation laws for erosion-deposition waves (Edwards & Gray 2015;Edwards et al 2017), segregation-induced finger formation (Baker et al 2016b) and bi-disperse roll waves (Viroulet et al 2018). The equations are solved in conservative form, where U = (h, hū, hv) T is the vector of conserved fields, with U x and U y being the derivatives of U with respect to x and y, respectively.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Numerical solutions are calculated using a high-resolution semi-discrete nonoscillatory central (NOC) scheme for convection-diffusion equations (Kurganov & Tadmor 2000). This method has proved its ability to solve similar systems of conservation laws for erosion-deposition waves (Edwards & Gray 2015;Edwards et al 2017), segregation-induced finger formation (Baker et al 2016b) and bi-disperse roll waves (Viroulet et al 2018). The equations are solved in conservative form, where U = (h, hū, hv) T is the vector of conserved fields, with U x and U y being the derivatives of U with respect to x and y, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…Both of these sets of experiments are dry and have a very narrow range of particle sizes, but, as Félix & Thomas (2004) showed, static levees still form. This suggests that neither interstitial fluid nor particle-size segregation are essential to the self-channelisation process, although they may strongly enhance its effects (Pouliquen, Delour & Savage 1997;Pouliquen & Vallance 1999;Félix & Thomas 2004;Goujon, Dalloz-Dubrujeaud & Thomas 2007;Iverson et al 2010;Woodhouse et al 2012;Kokelaar et al 2014;Baker, Johnson & Gray 2016b).…”
Section: Introductionmentioning
confidence: 99%
“…Strong evidence for these viscous terms is provided by the fact that, unlike the inviscid avalanche model, they predict a downslope velocity profile across a channel with rough side walls (Baker et al 2016a). The viscous terms are also vital in regularizing depth-averaged models of segregation-induced fingering (Pouliquen, Delour & Savage 1997;Pouliquen & Vallance 1999;Woodhouse et al 2012;Baker, Johnson & Gray 2016b). In addition, the functional dependence on the slope inclination ζ and thickness h to the three-halves power is crucial in matching the cutoff frequency of roll waves without any additional fitting parameters .…”
Section: Depth-averaged Equations With Viscous Dissipationmentioning
confidence: 99%
“…For instance, the minimum thickness necessary to sustain a steady flow down incline is a function of base roughness [1]; the fingering instability developed at the front of granular avalanches is due to the change of basal resistance upon segregation [2][3][4]; an inadequate base roughness may be responsible for the unsteady flow regime and crystallisation in chute flows [5][6][7]; in smallscale experimental debris flows, base roughness is the key to produce a realistic deposition with levee formation [8].…”
Section: Introductionmentioning
confidence: 99%