Continuum Model of Avalanches in Granular Media

Similar documents
Chapter 5. The Differential Forms of the Fundamental Laws

ENGR Heat Transfer II

Archimedes principle in fluidized granular systems

Steady Flow and its Instability of Gravitational Granular Flow

V (r,t) = i ˆ u( x, y,z,t) + ˆ j v( x, y,z,t) + k ˆ w( x, y, z,t)

Turbulentlike Quantitative Analysis on Energy Dissipation in Vibrated Granular Media

AE/ME 339. Computational Fluid Dynamics (CFD) K. M. Isaac. Momentum equation. Computational Fluid Dynamics (AE/ME 339) MAEEM Dept.

Dynamics of Glaciers

Numerical Heat and Mass Transfer

Notes 4: Differential Form of the Conservation Equations

Lecture 8: Tissue Mechanics

6.2 Governing Equations for Natural Convection

Chapter 1 Fluid Characteristics

Chapter 9: Differential Analysis of Fluid Flow

Lecture 6: Flow regimes fluid-like

Chapter 1. Continuum mechanics review. 1.1 Definitions and nomenclature

Differential relations for fluid flow

Granular Micro-Structure and Avalanche Precursors

Chapter 9: Differential Analysis

Fundamentals of Fluid Dynamics: Elementary Viscous Flow

Convection Heat Transfer

Continuum mechanism: Stress and strain

7 The Navier-Stokes Equations

q v = - K h = kg/ν units of velocity Darcy's Law: K = kρg/µ HYDRAULIC CONDUCTIVITY, K Proportionality constant in Darcy's Law

contact line dynamics

NDT&E Methods: UT. VJ Technologies CAVITY INSPECTION. Nondestructive Testing & Evaluation TPU Lecture Course 2015/16.

Chapter 1. Governing Equations of GFD. 1.1 Mass continuity

Game Physics. Game and Media Technology Master Program - Utrecht University. Dr. Nicolas Pronost

arxiv:comp-gas/ v1 28 Apr 1993

Chapter 2: Basic Governing Equations

L O N G I T U D I N A L V O R T I C E S I N G R A N U L A R F L O W S

Molecular dynamics simulations of sliding friction in a dense granular material

Modeling the combined effect of surface roughness and shear rate on slip flow of simple fluids

EKC314: TRANSPORT PHENOMENA Core Course for B.Eng.(Chemical Engineering) Semester II (2008/2009)

Computational Astrophysics

J. Szantyr Lecture No. 4 Principles of the Turbulent Flow Theory The phenomenon of two markedly different types of flow, namely laminar and

SIMULATION OF A 2D GRANULAR COLUMN COLLAPSE ON A RIGID BED

Neatest and Promptest Manner. E d i t u r ami rul)lihher. FOIt THE CIIILDIIES'. Trifles.

Getting started: CFD notation

MANY BILLS OF CONCERN TO PUBLIC

Stress, Strain, Mohr s Circle

Dry granular flows: gas, liquid or solid?

Studies on flow through and around a porous permeable sphere: II. Heat Transfer

Chapter 2 CONTINUUM MECHANICS PROBLEMS

THE ONSET OF FLUIDIZATION OF FINE POWDERS IN ROTATING DRUMS

Chapter 2: Fluid Dynamics Review

Soft Bodies. Good approximation for hard ones. approximation breaks when objects break, or deform. Generalization: soft (deformable) bodies

A Semi-Lagrangian Scheme for the Open Table Problem in Granular Matter Theory

From micro to macro in granular matter

Mechanics of Earthquakes and Faulting

Properties of the stress tensor

Extended kinetic theory applied to dense, granular, simple shear flows

Dynamics of the Mantle and Lithosphere ETH Zürich Continuum Mechanics in Geodynamics: Equation cheat sheet

Simple shear flow of collisional granular-fluid mixtures

The Shallow Water Equations

Granular Matter and the Marginal Rigidity State.

AE/ME 339. K. M. Isaac Professor of Aerospace Engineering. 12/21/01 topic7_ns_equations 1

Mechanics of Earthquakes and Faulting

Statistical Mechanics of Granular Systems

3. FORMS OF GOVERNING EQUATIONS IN CFD

Derivation of continuum models for the moving contact line problem based on thermodynamic principles. Abstract

Dispersion Relation of Standing Waves on a Vertically Oscillated Thin Granular Layer

CHAPTER V. Brownian motion. V.1 Langevin dynamics

Granular materials and pattern formation

Needs work : define boundary conditions and fluxes before, change slides Useful definitions and conservation equations

Modelling of dispersed, multicomponent, multiphase flows in resource industries. Section 3: Examples of analyses conducted for Newtonian fluids

Hydrodynamics. Stefan Flörchinger (Heidelberg) Heidelberg, 3 May 2010

Lifshitz Hydrodynamics

PEAT SEISMOLOGY Lecture 2: Continuum mechanics

GRAVITY-DRIVEN FLOW OF GRAINS THROUGH PIPES: A ONE-DIMENSIONAL MODEL

Chapter 1. Introduction. 1.1 Background

Rock Rheology GEOL 5700 Physics and Chemistry of the Solid Earth

1 Exercise: Linear, incompressible Stokes flow with FE

Module 2: Governing Equations and Hypersonic Relations

PERMEABILITY PREDICTION IN POROUS MEDIA WITH COMPLEX 3D ARCHITECTURES IN A TRI- PERIODIC COMPUTATIONAL DOMAIN

Nicholas Cox, Pawel Drapala, and Bruce F. Finlayson Department of Chemical Engineering, University of Washington, Seattle, WA, USA.

- Marine Hydrodynamics. Lecture 4. Knowns Equations # Unknowns # (conservation of mass) (conservation of momentum)

1. The Properties of Fluids

Rheology of Soft Materials. Rheology

Introduction to Fluid Mechanics

Basic Equations of Elasticity

Table of Contents. Preface... xiii

MACROSCOPIC VARIABLES, THERMAL EQUILIBRIUM. Contents AND BOLTZMANN ENTROPY. 1 Macroscopic Variables 3. 2 Local quantities and Hydrodynamics fields 4

Packing grains by thermally cycling

Boundary Conditions in Fluid Mechanics

MA3D1 Fluid Dynamics Support Class 5 - Shear Flows and Blunt Bodies

arxiv:cond-mat/ v1 [cond-mat.mtrl-sci] 21 Mar 2002

A Study on Numerical Solution to the Incompressible Navier-Stokes Equation

NONLINEAR FEATURES IN EXPLICIT ALGEBRAIC MODELS FOR TURBULENT FLOWS WITH ACTIVE SCALARS

Forces on bins: The effect of random friction

Comb Resonator Design (4)

Lecture Administration. 7.2 Continuity equation. 7.3 Boussinesq approximation

Lecture 3: 1. Lecture 3.

Tuning granular matter rheology using externally supplied vibrations

Boundary Conditions for the Moving Contact Line Problem. Abstract

Micromechanics of granular materials: slow flows

Lecture 5: Kinetic theory of fluids

Particle-Simulation Methods for Fluid Dynamics

CHAPTER 7 SEVERAL FORMS OF THE EQUATIONS OF MOTION

Coal Water Slurry technology: problems and modeling solutions

Transcription:

Continuum Model of Avalanches in Granular Media David Chen May 13, 2010 Abstract A continuum description of avalanches in granular systems is presented. The model is based on hydrodynamic equations coupled with an order parameter determined by a free-energy-like potential. The model successfully describes the transition between the static and the fluidized phases. This formalism is applied to avalanches on an inclined plane configuration. The theoretical predictions agree with the experimental results. Department of Physics, University of Illinois at Urbana-Champaign 1

1 Introduction Granular materials are large conglomeration of discrete macroscopic particles with no cohesive forces between them. In spite of this simplicity, they can exhibit very rich and surprising phenomena that differ from those seen in solids, liquids or gases [1]. Example of these behaviors are segregation under vertical vibration [2], localized excitations [3] and avalanches. Grains are macroscopic, so thermal energy is negligible compared to the gravitational energy of the particles (k B T/mgd 10 10, where m and d are the mass and diameter of the particles, and g is the gravitational constant). Consequently, in most cases ergodicity does not apply. The number of micro states corresponding to a macro state is irrelevant. Additionally, the interactions between grains are highly dissipative due to the static friction and the inelastic collisions experienced by the particles. These two characteristics make the ordinary statistical mechanics fail in describing granular materials. One of the most interesting phenomena pertinent to granular systems is avalanches. During an avalanche, a surface layer of the material experiences a phase transition from a static state to a granular flow. Figures 1.a and 1.b show avalanche experiments done on an inclined plane. The description of avalanches is still a matter of debate. The two more successful approaches to describe avalanches are: (a) large-scale molecular dynamics simulations, and (b) continuum theories. The first continuos models of avalanches were studied by Bouchaud, Cates, Ravi Prakash and Edwards (BCRE) [4], and subsequently by Boutreux, Raphaël and de Gennes [5]. In their models, the granular system is spatially separated into two phases, static and flow. However, in many important cases there is not a clear distinction between those two states. In this essay, the Aranson-Tsimring [6, 7, 8] model of avalanches will be presented. 2 Model of granular flows In the Aranson-Tsimring approach, the model is based on the Navier-Stokes equations ρ 0 D t v i = j σ ij + ρ 0 g i, i, j = x, y, z (1) where v is the velocity of the material, ρ 0 is the density (without loss of generality, ρ 0 = 1), σ ij are the components of the stress tensor, g is the gravitational acceleration, and D t = t + v i i is the material derivative. Also, a dense flow will be 2

(a) (b) Figure 1: Avalanches triggered by a needle. Initially, an uniform layer of granular particles rest on an inclined plane. Depending on the tilt angle, two different behaviors are seen. (a) Triangular avalanche. (b)up-hill avalanche. [9]. assume, so the relative density fluctuations are small and the fluid will be considered incompressible, v = 0. The main assumption in this theory is that there are two components to the granular flow. One involving grains experiencing plastic motion, and another term accounting for grains that maintain static contacts with their neighbors. In this way, the stress tensor is written as the sum of a hydrodynamic part proportional to the flow strain rate e ij, and a strain-independent part σ s ij σ ij η e ij + σ s ij (2) where η is the viscosity coefficient. It is assumed that the diagonal elements of the stress tensor σ s ii are equal to the diagonal components of the static stress tensor σ 0 ii for the immobile grain configuration, and the shear stresses are proportional to the stress tensor σ 0 ij, where the constant of proportionality is a function of a position-dependent order parameter ρ. 3

For simplicity, σ s ij ρ σ 0 ij, for i j. In this way, σ ij = η ( j v i + i v j ) + σ s ij (3) where σ s ij = { σii 0 ρ σij 0 i = j i j (4) The static or solid state is identified as ρ = 1. In this way, the stress tensor σ ij takes its static value, σ ij = σij 0 i, j. In a fluidized or fluid state, ρ = 0 and the stress tensor is reduced to the case of an ordinary fluid. Because of the strong dissipation in a dense granular flow, the equation for the order parameter ρ is determined by a pure dissipative dynamical equation D t ρ = δf/δρ, where F is a free energy density functional, F = 1 2 D ρ 2 + F (ρ). The constant D is the diffusion coefficient (without loss of generality, D = 1), and F (ρ) is a potential energy density. D t ρ = 2 ρ ρ F (ρ) (5) To account for the bistability near the solid-fluid transition, F (ρ) is assumed to have local minima at ρ = 1 and ρ = 0. For simplicity, F (ρ) is taken as a quartic form Therefore, F (ρ) = ρ ρ (ρ 1)(ρ δ)dρ (6) D t ρ = 2 ρ + ρ(1 ρ)(ρ δ) (7) The position-dependent parameter δ controls the stability of the two phases. For 0 < δ < 1, Eq. (7) has two stable uniform solutions at ρ = 0 and ρ = 1, corresponding to liquid and solid states, and one unstable solution at ρ = δ (see figure 2). For δ < 1/2, the solid phase is more favorable. For δ > 1/2, the liquid phase is more favorable. The parameter δ is taken to be a function of the stress tensor σ ij, which depend on constitutive relations. One of the simplest functions for δ is δ = (φ φ 0 )/(φ 1 φ 0 ), where φ max i,j σ ij/σ jj, and φ 0, φ 1 are critical parameters that account for hysteresis in the system. If φ < φ 0 δ < 0 and the liquid state is unstable. If φ > φ 1 δ > 1 and the solid state is unstable. If φ 0 < φ < φ 1, both states coexist. 4

Figure 2: F (ρ) for three different values of δ [8] 3 Inclined plane configuration A particular configuration for granular flows consists in an initially uniform flat layer of thickness h of dry cohesionless grains on a plane tilted at an angle ϕ. A Cartesian coordinate system is placed as shown in Fig. (3), where the z axis is perpendicular to the plane and the x axis goes downhill. The bottom of the layer is at z = h and the top of it is at z = 0. The surface of the plain will be considered sticky, so a non-slip condition will be imposed on the grains at the bottom of the granular layer, i.e., ρ = 1 at z = h. At the free surface the boundary condition is less obvious. For simplicity, a non-flux boundary condition for the order parameter will be imposed, z ρ = 0. 3.1 Uniform stationary solutions The uniform stationary solution for the order parameter is simply ρ = 0, 1 (Eq. 7), where the stability of each phase is determined by the configuration of the system. The uniform stationary solution for the stress tensor σ ij follows from Eq. (1), z σ zz + x σ zx g cos ϕ = 0 (8) z σ xz + x σ xx + g sin ϕ = 0 (9) 5

Figure 3: Inclined plane configuration. In the absence of lateral stresses, i.e., σ 0 yy = σ 0 yx = σ 0 yz = 0, the solution is σ zz = g cos ϕz, σ xz = g sin ϕz, σ xx,x = 0 (10) Therefore, there is a simple relation between shear and normal stresses, σ xz = σ zz tan ϕ, independent of the flow profile. In the case of static equilibrium, σ 0 xz = σ 0 zz tan ϕ. Since by assumption σ zz = σ 0 zz, then σ xz = σ 0 xz. In this configuration, the most unstable direction goes along the inclined plane. Hence, φ = max i,j σ ij/σ jj = σ 0 xz/σ 0 zz = tan ϕ (11) Consequently, the stability of this solution is totally determined by the tilt angle of the plane ϕ. Explicitly, δ = φ φ 0 φ 1 φ 0 (12) where φ i tan ϕ i for i = 1, 2, and ϕ 0, ϕ 1 are critical tilt angles. 3.2 Non-uniform solutions For the case of non-uniform flows, solutions with small deviations from the uniform case will be considered, i.e., x h(x, y, z) tan ϕ. Additionally, a further approximation will be made. Because of the non-slip condition at the bottom of the granular layer, for shallow layers the flow velocity is small [7], so the convective flux can be neglected, i.e., D t t, t ρ = 2 ρ + ρ(1 ρ)(ρ δ) (13) 6

3.2.1 Stationary case For h greater than a critical thickness h s, there is a non-trivial stationary solution. The critical thickness h s can be derived in the following way. Integrating Eq. (6) gives, F (ρ) = ρ4 4 (δ + 1) ρ 3 + δ 3 2 ρ2 + const. (14) In a stationary regime, t ρ = δf/δρ = 0. Therefore, F = 1 2 ρ 2 + F (ρ) is conserved with respect to ρ. Since the boundary condition for ρ at the surface is z ρ = 0, and considering solutions with x ρ = y ρ = 0, then 1 2 ( zρ) 2 + F (ρ) = F (ρ 0 ) (15) where ρ 0 is ρ at the surface. The height of the granular layer h can be obtained by integration 0 h dz = ρ0 1 dρ 2 [F (ρ0 ) F (ρ)] (16) h = ρ0 1 dρ 2 [F (ρ0 ) F (ρ)] (17) The critical thickness h s can be found by minimizing the integral over all values of ρ 0. ρ0 h s (δ) min ρ 0 1 dρ 2 [F (ρ0 ) F (ρ)] (18) In consequence, if h > h s (δ), an stationary solution exists besides the static uniform solution. 3.2.2 Non-stationary case For non-stationary solutions, small deviations from the uniform solid state ρ = 1 will be studied. For ρ > 1, the solid state is stable at small h, but it loses stability at a certain critical thickness h c. 7

The most unstable modes of Eq. (13) satisfying the boundary conditions are in the form [6] Replacing Eq. (19) into Eq. (13) gives ρ = 1 Ae λt cos(πz/2h), A 1 (19) λ(h) = δ 1 π 2 /4h 2 (20) If λ < 0 the solid state is stable; if λ > 0, it is unstable. The critical stability occurs at λ = 0, which defines a critical height h c h c (δ) π 2 δ 1 (21) The two critical heights h c (δ) and h s (δ) divide the h δ parameter plane in three regions, Fig. 4. At h < h s (δ), the trivial static equilibrium is the only stationary solution. At h s (δ) < h < h c (δ), static equilibrium coexists with stationary flow. At h > h c (δ), only granular flow exits. This picture agrees with experimental results. 4 Experiment Avalanches on an inclined plane were studied experimentally by Daerr and Douady [9]. The experiment consists in a plane tilted at an angle ϕ to the horizon and covered by a flat layer of dry cohesionless glass beads (180-300 µm of diameter). The granular material is spread uniformly over the plane with an initial thickness h. The surface of the plane is made of velvet cloth, so the friction of the grains with it is much large than between themselves. From dimensional analysis, the diffusion coefficient is D = l 2 /τ, where l is the characteristic length, which is of the order of the average grain diameter, and τ is the characteristic time, which is of the order of the collision time, τ l/g. In order to compare theory with experiments, l is taken as the average grain diameter, l = 240 µm, and τ = l/g. The particles are initially at rest, and the experiment was performed by increasing the inclination angle ϕ slowly until an avalanche was triggered. Fig. (4) shows the theoretical predictions (lines) against the experimental results (symbols) for h c (δ) and h s (δ). 8

solid and flow flowonly h/l solidonly Figure 4: Dashed line corresponds to h c, Eq. (21). Continuous line corresponds to h s, Eq. (18). Symbols show experimental data [9]. The two asymptotic values δ = 0.5 and δ = 1 correspond to the experimental angles of ϕ = 25 and ϕ 1 = 32 respectively, from where the critical angle ϕ 0 was obtained. 5 Conclusion A general continuum theory of dense granular flows was derived. In this model, an order parameter is introduced as a variable that controls the stability of the static and the fluidized phases. In particular, this theory is applied to the study of avalanches on an inclined plane configuration. This order-parameter model successfully explains many important phenomena observed experimentally [7]. For example, the existence of a bistable regime, where solid and fluid phases coexist. 9

References [1] H. M. Jaeger, S. N. Nagel, Granular solids, liquids and gases, Rev. Mod. Phys. 68, 1259 (1996) [2] M. E. Mobius, B. E. Lauderdale, S. R. Nagel, H. M. Jaeger, Reverse buoyancy in shaken granular beds, Nature 414, 270 (2001) [3] P. B. Umbanhowar, F. Melo, H. L. Swinney, Localized excitations in a vertically vibrated granular layer, Nature 382, 793 (1996) [4] J. P. Bouchaud, M. E. Cates, J. Ravi, S. F. Edwards, Hysteresis and metastability in a continuum sandpile model, Phys. Rev. Lett. 11, 1982 (1995) [5] T. Boutreux, E. Raphaël, P. G. de Gennes, Surface flows of granular materials: A modified picture for thick avalanches, Phys. Rev. E 58, 4692 (1998) [6] I. S. Aranson, L. S. Tsimring, Continuum description of avalanches in granular media, Phys. Rev. E 64, 020301(R) (2001) [7] I. S. Aranson, L. S. Tsimring, Continuum theory of partially fluidized granular flows, Phys. Rev. E 65, 061303(R) (2002) [8] H. Hinrichsen, D. Wolf (editors), The Physics of Granular Media, Wiley-VCH (2005), ISBN: 978-3527403738 [9] A. Daerr, S. Douady, Nature (London) 399, 241 (1999) 10