Abstract

Abstract

Highlights

  • Despite most natural and man-made granular materials being composed of grains of varying size, shape and frictional properties, the majority of continuum flow modelling has largely been restricted to perfectly monodisperse aggregates

  • Coupling the flow rheology to the local constituent concentrations is important because the mobility of a granular flow is strongly affected by the local frictional properties of the grains

  • Striking examples of segregation induced feedback on the bulk flow are found during levee formation (Iverson & Vallance 2001; Johnson et al 2012; Kokelaar et al 2014) and fingering instabilities (Pouliquen, Delour & Savage 1997; Pouliquen & Vallance 1999; Woodhouse et al 2012; Baker, Johnson & Gray 2016b), which commonly occur during the run-out of pyroclastic density currents, debris flows and snow avalanches

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Summary

Introduction

Despite most natural and man-made granular materials being composed of grains of varying size, shape and frictional properties, the majority of continuum flow modelling has largely been restricted to perfectly monodisperse aggregates. Particle simulations, using the discrete element method (DEM), provide important rheological information as evolving velocities, stresses and constituent concentrations can be directly computed given only minimal approximations Such results can be used to motivate models for the bulk flow (GDR MiDi 2004; Jop, Forterre & Pouliquen 2006; Singh et al 2015) and to form connections between flow and segregation processes (Hill & Fan 2008; Staron & Phillips 2015). The combination of kinetic sieving and squeeze expulsion produces a net upward motion of large particles as the smaller grains percolate downwards These concepts formed the basis of the theory of Gray & Thornton (2005) who focused on this form of gravity-driven segregation in granular free-surface flows. The new experimental segregation law of Trewhela, Ancey & Gray (2021) is tested against the steady-state DEM solutions of Tripathi & Khakhar (2011) in § 6.3 and used in § 7 for the rotating drum simulations, which are able to spontaneously generate petal-like patterns that have previously been seen in the experiments of Hill et al (1999), Ottino & Khakhar (2000) and Mounty (2007)

Governing equations
Generalized polydisperse segregation theory
Reduction to the bidisperse case
Coupling the bulk flow with the segregation
Advection by the bulk flow field
Segregation induced frictional feedback on the bulk flow
Feedback of the bulk flow on the segregation rate and diffusivity
Numerical method
Segregation in an uncoupled bulk flow down an inclined plane
Inflow conditions and boundary conditions
Steady uniform bulk flow velocity
Comparison between the different methods of interface tracking
Numerical simulation of the bulk flow and the segregation
Comparison of the frontal shape with depth-averaged solutions
The two-dimensional internal flow fields in the moving frame
Segregation mobility feedback on the bulk flow
Steady uniform flow down an inclined plane with segregation mobility feedback
Formation of a large rich bulbous flow front on an inclined plane
Fully coupled rotating drum simulations
The particle-size distribution in the square drum
Grid convergence
Conclusions and discussion

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