1. Introduction
Depending on the confining stress, granular materials can respond mechanically at the continuum scale as a solid, liquid or gas (Forterre & Pouliquen Reference Forterre and Pouliquen2008). Granular flows are relevant to a wide variety of natural processes, including avalanches (Doppler et al. Reference Doppler, Gondret, Loiseleux, Meyer and Rabaud2007; Pailha & Pouliquen Reference Pailha and Pouliquen2009), terrestrial and submarine landslides (Hampton et al. Reference Hampton, Homa and Locat1996; Legros Reference Legros2002), blood flows through small vessels (Freund & Orescanin Reference Freund and Orescanin2011), and debris flows (Iverson Reference Iverson1997), as well as to a variety of industrial applications. The continuum rheology of granular materials has been studied extensively, primarily focusing on internal friction and thus on relative motion and sliding within the granular material. For example, many studies consider scenarios in which a granular material is confined and sheared between a fixed plate or cylinder and a moving one (Ouriemi et al. Reference Ouriemi, Aussillous and Guazzelli2009; Aussillous et al. Reference Aussillous, Chauchat, Pailha, Médale and Guazzelli2013; Houssais et al. Reference Houssais, Ortiz, Durian and Jerolmack2016; Maurin et al. Reference Maurin, Chauchat and Frey2016), whereas classical bedload transport involves the shearing of an unconfined granular material by an overlying fluid flow (Frey & Church Reference Frey and Church2011). Avalanche-type flows have also attracted substantial attention, in which an unconfined granular material flows downhill under gravity (Cassar et al. Reference Cassar, Nicolas and Pouliquen2005; Doppler et al. Reference Doppler, Gondret, Loiseleux, Meyer and Rabaud2007; Forterre & Pouliquen Reference Forterre and Pouliquen2008; Pailha & Pouliquen Reference Pailha and Pouliquen2009; Bouchut et al. Reference Bouchut, Fernández-Nieto, Mangeney and Narbona-Reina2016). Finally, Sauret et al. (Reference Sauret, Balmforth, Caulfield and McElwaine2014) studied the unconfined pile-up of a granular material during bulldozing by a vertical plate on a rotating table, focusing on the initial growth of the granular pile and then on its long-time shape.
Additional challenges arise in confined granular-flow problems where the grains are able to slide along the confining walls. The flow of sand through an hourglass is a relatable example; similar interactions occur within subsurface faults and fractures (Dorostkar et al. Reference Dorostkar, Guyer, Johnson, Marone and Carmeliet2017) and in silos (Janssen Reference Janssen1895; Landry et al. Reference Landry, Grest, Silbert and Plimpton2003). This class of problems has received less attention. Some authors have considered the impact of the confining vertical side walls on avalanche-type flows in channels (Jop et al. Reference Jop, Forterre and Pouliquen2005; Taberlet et al. Reference Taberlet, Richard and Delannay2008; Artoni & Richard Reference Artoni and Richard2015). Simulations and experiments show that these walls can have a significant impact on the flow, potentially changing the convexity of the flow profile if the channel is sufficiently narrow. Marks et al. (Reference Marks, Sandnes, Dumazer, Eriksen and Måløy2015) used the discrete-element method (DEM) to simulate the piston-driven bulldozing of dry grains between horizontal top and bottom plates in two spatial dimensions. They found that once the grains have piled up to bridge the gap between the two plates, the bulldozing force grows exponentially with the downstream length of the bridged region due to sliding friction between the grains and the plates, which is consistent with the classical Janssen effect (Janssen Reference Janssen1895). Morgan et al. (Reference Morgan, James, Barron and Sandnes2020) performed experiments to study the motion of granular material along a confined, quasi-two-dimensional channel where the motion of the grains is driven by a net flow of liquid through the channel. They observed that the velocity profile of the grains was non-monotonic in the vertical direction.
Additional inspiration for the present study comes from a series of experiments involving the bulldozing of grains by capillary forces. This problem has been considered in both one- and two-dimensional geometries. In the one-dimensional case, air was injected into a capillary tube containing a wet granular suspension (Dumazer et al. Reference Dumazer, Sandnes, Ayaz, Måløy and Flekkøy2016, Reference Dumazer, Sandnes, Måløy and Flekkøy2020). Because the air is non-wetting to the grains, the liquid–air meniscus acts to bulldoze the grains like a piston. When the grains pile up to bridge the gap, the granular plug becomes jammed and the gas phase eventually percolates through the static plug and emerges on the other side, resulting in a repeating pattern of granular plugs alternating with gas regions. In the two-dimensional case of a Hele-Shaw cell, the system has an additional degree of freedom (Sandnes et al. Reference Sandnes, Knudsen, Måløy and Flekkøy2007, Reference Sandnes, Flekkøy, Knudsen, Måløy and See2011; Eriksen et al. Reference Eriksen, Toussaint, Måløy, Flekkøy, Galland and Sandnes2018; Zhang et al. Reference Zhang, Campbell, Eriksen, Flekkøy, Måløy, MacMinn and Sandnes2023). The gas always pushes the granular material in the direction of least resistance, resulting in the growth of a fingering pattern with a morphology that is distinct from the traditional viscous fingers that would form in the absence of the grains (Saffman & Taylor Reference Saffman and Taylor1958; Paterson Reference Paterson1981). It has been shown that ad hoc, rule-based simulations can reproduce these patterns (Knudsen et al. Reference Knudsen, Sandnes, Flekkøy and Måløy2008; Eriksen et al. Reference Eriksen, Sandnes, Marks and Toussaint2015a , Reference Eriksen, Toussaint, Måløy, Flekkøy and Sandnesb ), but a true quasi-one-dimensional or quasi-two-dimensional continuum model derived from the fundamental mechanics of the problem is still lacking.
Here, we develop a continuum model to describe the bulldozing of an immersed granular material in a confined, horizontal geometry. We then use this model to explore the interactions between fluid flow, granular motion and pile-up, and sliding friction. To do so, we focus on the scenario illustrated in figure 1, where a thin gap between two parallel plates is filled with solid grains and a fluid. We take the grains to be denser than the fluid, such that they sediment in a uniform layer on the bottom plate. A piston then bulldozes both grains and fluid from left to right at a constant velocity. This problem is a generalisation of the work by Marks et al. (Reference Marks, Sandnes, Dumazer, Eriksen and Måløy2015), who considered the limiting case where the fluid phase is ignored. We formulate a two-phase, two-layer model comprising a single Newtonian fluid in the top layer and an immersed granular material (grains and fluid) in the bottom layer, such that depth-averaging leads to a system of coupled thin-film flows. For the granular phase, we adopt the established
$\mu (I)$
-type rheology (Cassar et al. Reference Cassar, Nicolas and Pouliquen2005; Jop et al. Reference Jop, Forterre and Pouliquen2005; Pouliquen et al. Reference Pouliquen, Cassar, Jop, Forterre and Nicolas2006), where the granular continuum behaves like a yield-stress fluid with a pressure-dependent yield stress and a rate-dependent friction coefficient
$\mu$
. We consider both the inertial
$\mu (I)$
rheology (Midi Reference Midi2004; Da Cruz et al. Reference Da Cruz, Emam, Prochnow, Roux and Chevoir2005; Jop et al. Reference Jop, Forterre and Pouliquen2005) and the viscous
$\mu (I_v)$
rheology (Cassar et al. Reference Cassar, Nicolas and Pouliquen2005; Boyer et al. Reference Boyer, Guazzelli and Pouliquen2011), which are distinguished by whether the viscosity of the interstitial fluid is expected to play an unimportant role or a dominant role in the mechanics, respectively. Further, we impose simple Coulomb-like friction at the top and bottom walls, such that the grains will only slide along the walls if the local shear stress is sufficiently large relative to the local normal stress (Pennestrì et al. Reference Pennestrì, Rossi, Salvini and Valentini2016).
A schematic of granular bulldozing in a confined, horizontal channel. (a) The system consists of two parallel plates separated by a gap
$b$
. The gap is initially filled with a mixture of fluid and grains, with the grains forming a uniform, fluid-saturated layer of height
$h_0$
on the bottom plate. (b) A piston moves from left to right with constant velocity
$\dot {\delta }$
, bulldozing both grains and fluid. The grains pile up near the piston and eventually bridge the gap between the plates. (c) As bulldozing continues, the domain comprises three regions: a bridged region where
$h = b$
, a wedge-shaped transition region where
$h_0 \lt h \lt b$
, and an undisturbed region where
$h = h_0$
and the solid is stationary.

The remainder of this work is organised as follows. In § 2, we derive our model based on the approach described above. As previously mentioned, the interactions between the grains and the walls are governed by Coulomb friction. This model gives an expression for the shear stress at the walls only if the magnitude of the shear stress is sufficiently large, which is not known a priori. To address this difficulty, we introduce a novel regularisation that gives an expression for the shear stress over the entire computational domain. In §§ 3 and 4, we present a numerical study of our model. In § 3, we consider the inertial (‘dry’)
$\mu (I)$
rheology where the viscosity of the fluid phase is negligible. We investigate the granular velocity profile in the region where the grains have bridged the gap, as well as in the wedge-shaped transition region (see figures 1
b,c). In §§ 4 and 5, we consider the viscous (‘wet’)
$\mu (I_v)$
rheology, focusing on the influence of the fluid on the grains and comparing results from our model with laboratory experiments. Finally, in § 6, we summarise our findings, comment on the validity of our modelling assumptions, and suggest avenues for future work.
2. Model development
We consider the piston-driven bulldozing of a dense, fluid-saturated granular material in a confined horizontal channel. The channel consists of a gap of height
$b$
between two parallel, horizontal plates. The gap is filled with an incompressible Newtonian fluid and a granular material with mean grain diameter
$d$
. The solid grains are negatively buoyant and form a layer of height
$h(x, t)$
on the bottom plate. The granular layer has uniform initial height
$h(x,0)=h_0$
(figure 1
a). A rigid piston located at
$x = \delta (t)$
travels from left to right (i.e. in the positive
$x$
-direction) at a constant speed
$\dot {\delta }$
, bulldozing both grains and fluid (figures 1
b,c). Note that we ignore motion in the
$y$
-direction (i.e. into the page).
We denote the local volume fractions of the fluid and solid phases as
$\phi _{\!f}$
and
$\phi _s$
, respectively, such that
$\phi _{\!f} + \phi _s = 1$
. For simplicity, we take
$\phi _s$
to be uniform and equal to a constant
$\phi _s^*$
within the granular layer and zero outside the granular layer. Thus we neglect elastic compression of the grains and shear-induced compaction and dilation of the granular layer, in order to focus on the physical interactions of internal friction, pile up, wall friction and fluid flow. The solid-fraction distribution is then given by
\begin{align} \phi _s(x, z, t) = \begin{cases} \phi _s^* & \textrm {for } \ 0 \leqslant z \leqslant h, \\[3pt] 0 & \textrm {for } \ h \lt z \leqslant b. \end{cases} \end{align}
We denote the fluid velocity by
$\boldsymbol{v}_{\!f} = u_{\!f}(x, z, t)\, \boldsymbol{e}_x + w_{\!f}(x, z, t)\, \boldsymbol{e}_z$
and the solid velocity by
$\boldsymbol{v}_s = u_s(x, z, t)\, \boldsymbol{e}_x + w_s(x, z, t)\, \boldsymbol{e}_z$
, with
$\boldsymbol{e}_x$
and
$\boldsymbol{e}_z$
the unit vectors in the
$x$
- and
$z$
-directions, respectively. The volume-averaged velocity is then
$\boldsymbol{v} = u(x, z, t)\, \boldsymbol{e}_x + w(x, z, t)\, \boldsymbol{e}_z = \phi _{\!f} \boldsymbol{v}_{\!f} + \phi _s \boldsymbol{v}_s$
. Conservation of mass for the solid phase can then be written in vertically integrated form as
where
is the average horizontal velocity of the solid. Similarly, conservation of total volume requires that the average horizontal velocity on any vertical slice must be equal to the piston speed:
Before discussing the model in detail, we briefly consider the anticipated structure of the flow, as sketched in figure 1. We expect the flow to be predominantly horizontal and quasi-static, provided that, as discussed in § 2.3, the macroscopic Froude number and fluid Reynolds number are sufficiently small that friction and viscosity dominate the momentum balance. As noted above, the granular layer has a frictional yield strength. Thus sufficiently far ahead of the piston, the grains must be undisturbed at their original height
$h_0$
. Nonetheless, the motion of the piston dictates that there must be a net rightward flow of material at all values of
$x$
(see (2.4)); in the far field, we therefore expect a net fluid flow both through and above the grains. Near the piston, we expect grains to pile up and ‘bridge’ the gap (figure 1
b), leading to a translating ‘transition’ region that links the bridged near-piston region with the undisturbed far-field region (figure 1
c). Once formed, the bridged region must grow steadily in length as grains pile up ahead of the piston. The transition region can then either grow continually in length (if its leading edge travels faster than its trailing edge, both of which must travel faster than the piston) or evolve towards a steady shape that translates like a travelling wave (if its leading and trailing edges travel at the same speed, again faster than the piston). In the latter scenario, conservation of solid volume dictates that the transition region must travel at speed
$b \dot \delta /(b-h_0) \gt \dot \delta$
. We observe both of these scenarios in the results below. An alternative scenario, also observed in some cases (§ 4), is that the grains fail to displace all of the viscous fluid from the overlying fluid layer, thus never fully bridge the gap. In this scenario, there is no bridged region and the transition region must grow continually.
2.1. Mechanics
We focus on the limit in which the channel is sufficiently thin, or the piston sufficiently slow, that the inertia of the fluid–solid mixture is unimportant in the macroscopic momentum balance. In this limit, which we quantify more formally in § 2.3, conservation of linear momentum can be written as
where
$\boldsymbol{\sigma }$
is the total stress in the mixture and
$\rho =\rho _{\!f} \phi _{\!f} + \rho _s \phi _s$
is the local volume-averaged density of the mixture, and where we have adopted the convention that tensile stresses are positive. Going forward, we assume that the ratio of typical vertical to horizontal length scales is sufficiently small that we can adopt a lubrication-type approximation, in which
$w \ll u$
and
$\partial _x \ll \partial _z$
. We discuss the validity of these assumptions in §§ 5 and 6.
2.1.1. Upper layer (fluid)
The upper layer,
$h\lt z\lt b$
, comprises a single incompressible Newtonian fluid of viscosity
$\eta _{\!f}$
, for which the lubrication approximation suggests that the fluid pressure
$p_{\!f}$
is hydrostatic,
$p_{\!f}(x,z,t) = P_{\!f}(x,t) + \rho _{\!f} g (b - z)$
, such that
where
$P_{\!f}$
is the unknown fluid pressure at
$z = b$
. We impose a no-slip boundary condition on the flow at the top wall,
$u_{\!f} = 0$
on
$z = b$
, as is standard. The appropriate boundary condition at the interface
$z = h$
is less obvious, but for simplicity, we follow previous models of bedload transport and impose no tangential slip between the overlying fluid and the granular solid by requiring that
$u_{\!f} = u_s$
at
$z=h^+$
(e.g. Aussillous et al. Reference Aussillous, Chauchat, Pailha, Médale and Guazzelli2013). Note that this choice does not constrain the fluid velocity on the granular side of the interface, where in general we expect a non-zero Darcy flow (i.e. fluid flow relative to the solid grains), and neither does it prevent fluid flow across the interface. Note also that in reality, some degree of tangential slip is expected at the boundary between an external fluid flow and a porous medium (e.g. Le Bars & Worster Reference Le Bars and Worster2006). Many associated slip boundary conditions have been proposed, most famously the so-called Beavers–Joseph condition (Beavers & Joseph Reference Beavers and Joseph1967; Le Bars & Worster Reference Le Bars and Worster2006). We revisit this point briefly below, at the end of § 2.1.2.
Imposing these two no-slip conditions, we arrive at an expression for the velocity of the fluid in the upper layer:
The shear stress exerted on the granular layer by this flow is then
Equation (2.7) suggests that the flow in the upper layer is a Poiseuille–Couette flow, combining a parabolic profile from the background pressure gradient with a linear shear profile from the motion of the granular layer relative to the top wall.
2.1.2. Lower layer (fluid–solid mixture)
For the lower layer, we adopt Terzaghi’s principle (Terzaghi Reference Terzaghi1936) by decomposing the total stress into the fluid pressure and the effective solid stress
$\boldsymbol{\sigma }'$
:
Following Jop et al. (Reference Jop, Forterre and Pouliquen2006), we then decompose
$\boldsymbol{\sigma }'$
into its isotropic and deviatoric components:
where
$p_s = -(1/3)\, \textrm {tr}(\boldsymbol{\sigma }')$
and
$\textrm {tr}(\boldsymbol{\tau }) = 0$
. Further, we impose that the fluid flows through the porous, granular material according to Darcy’s law,
where
$k$
is the permeability of the granular skeleton, which we expect to scale with the square of the grain size:
$k\sim {}d^2$
.
Combining (2.5), (2.9) and (2.10) under the lubrication approximation, we arrive at
along with
$\sigma _{xx}' = \sigma _{zz}' = -p_s$
. The vertical component of (2.11) suggests that the fluid pressure is hydrostatic; further requiring that it be continuous across
$z=h$
leads to
$p_{\!f} = P_{\!f} + \rho _{\!f} g (b - z)$
. It then follows that
$p_s = P_s(x, t) + \phi _s^*\, \Delta \rho\, g (h - z)$
, where
$\Delta \rho = \rho _s - \rho _{\!f}$
, and
$P_s$
is the as-yet-unspecified solid pressure at the interface
$z = h$
. As such,
where
$P = P_{\!f} + P_s$
. Further, the horizontal component of (2.11) becomes
Note that continuity of normal stress requires that
$P_s$
must vanish when the solid does not bridge the gap (i.e. when
$h \lt b$
), such that
$P_s \ne 0$
only in the bridged region (i.e. where
$h \equiv b$
). Correspondingly, conservation of mass requires that the fluid and solid in the bridged region move at the same speed, thus
$\partial _x P_{\!f} = 0$
in the bridged region.
Imposing no tangential slip between the granular solid and the fluid in the upper layer, as we did above, implies a jump in tangential fluid velocity between the free flow in the upper layer and the Darcy flow in the lower layer (i.e. across the interface). In reality, we anticipate a narrow transition region at the interface (on the scale of one grain/pore, or
$\sim {}d\sim \sqrt {k}$
) over which the fluid velocity smoothly adjusts (see e.g. Beavers & Joseph Reference Beavers and Joseph1967; Le Bars & Worster Reference Le Bars and Worster2006). We expect the difference between applying a no-slip condition and a more elaborate slip condition to scale with
$\sqrt {k}$
, which is typically extremely small. As noted above, this boundary condition does not constrain flow across the interface; rather, the normal component of the fluid velocity is dictated by conservation of mass, as is standard in lubrication problems.
Note that the incomplete model above already provides some insight into the flow in the far field, where the grains are undisturbed at uniform depth
$h_0$
, and the fluid flows both above them and through them. For stationary grains (
$u_s=0$
), the flow in the upper layer is a simple Poiseuille flow (see (2.7)), and the uniform Darcy flow through the lower layer follows from (2.14). The total flow rate is
$\dot {\delta }b$
, as determined by the piston, with a fraction
$(b-h_0)^3/[(b-h_0)^3+12 h_0 k]$
flowing in the upper layer, and a fraction
$12 h_0 k/[(b-h_0)^3+12 h_0 k]$
flowing through the grains in the lower layer.
2.1.3. Granular friction and wall friction
As noted above, we adopt a
$\mu (I)$
-type rheology for the internal mechanics of the granular material (Cassar et al. Reference Cassar, Nicolas and Pouliquen2005; Jop et al. Reference Jop, Forterre and Pouliquen2005; Pouliquen et al. Reference Pouliquen, Cassar, Jop, Forterre and Nicolas2006). In these model constructions, the internal mechanical interactions between grains are taken to obey a Coulomb-like friction model:
where
$\mu$
is a dimensionless, rate-dependent coefficient of kinetic friction, as discussed further in § 2.2, and
$\mu _s$
is a dimensionless constant coefficient of static friction. If the magnitude of the shear stress is sufficiently small, then (2.16) indicates that grains will resist internal rearrangement and the solid phase will act locally as a rigid body. If the shear stress is sufficiently large, then the solid phase will yield such that
$|\partial _z u_s| \gt 0$
and the solid velocity will satisfy (2.15), with the sign of
$\sigma _{xz}'$
given by the sign of the shear rate
$\partial _z u_s$
. As a result, the vertical profile
$u_s(z)$
may feature multiple coupled yielded and unyielded regions separated by free boundaries. We consider the various possible flow scenarios in § 2.1.4. We specify the granular rheology in more detail in § 2.2.
At the bottom surface of the granular layer, we assume that the mechanical interactions between the grains and the wall obey a Coulomb-like friction model:
such that
where
$\mu _w$
is the dimensionless constant coefficient of friction between the grains and the wall. Note that we assume that
$u_{s} \geqslant 0$
, such that
$\sigma _{xz}'(z=0)\geqslant 0$
, and thus that friction resists relative motion. To generate a single, continuous problem in
$x$
, we unify these conditions in a regularised form in § 2.3.
The appropriate boundary condition at the top surface of the granular layer depends on whether or not the grains are in contact with the top wall. If the grains have bridged the gap (i.e. if
$h \equiv b$
), then we similarly apply Coulomb friction at the top wall:
such that
where the differences in sign relative to (2.17)–(2.19) reflect the different direction of the normal vector, again ensuring that friction resists relative motion for
$u_s\geqslant 0$
. If the grains have not bridged the gap between the plates (i.e. if
$h\lt b$
), then we instead impose that the shear stress is continuous with the upper fluid layer via (2.8). To generate a single, continuous problem in
$x$
, we also unify these conditions in a regularised form in § 2.3.
2.1.4. Velocity profile
Before giving specific details of the granular rheology, we first present in figures 2 and 3 a selection of example velocity profiles that can occur in the transition zone (
$h\lt b$
) and in the bridged region (
$h\equiv {}b)$
, respectively. In both cases, the qualitative nature of the profile depends centrally on whether the coefficient of wall friction,
$\mu _w$
, is larger or smaller than the static coefficient of internal friction,
$\mu _s$
.
Examples of the different possible stress and velocity configurations in the unbridged state (
$h \lt b$
and
$P_s\equiv {}0$
), neglecting the fluid phase (
$\partial _x{p_{\!f}}=0$
and
$\sigma '_{xz}(z=h) = 0$
). (a) Possible shear-stress profiles
$\sigma _{xz}'(z)$
(red and blue lines), which must be linear from (2.13), together with the effective yield stress of the granular layer
$\pm \mu _s p_s$
, where
$p_s = \phi _s^* g\, \Delta \rho\, (h - z)$
(solid yellow); the shear stress lies below the yield stress in the shaded region. Different colours correspond to whether the wall friction is less than the internal static friction,
$\mu _w = \mu _{w1} \lt \mu _s$
(blue), or greater,
$\mu _w = \mu _{w2} \gt \mu _s$
(red), with corresponding velocity profiles shown in (b,c) and (d,e), respectively. In each case, there are two possibilities: (b,d) the shear stress on the bottom wall does not reach the slip stress,
$|\sigma _{xz}'(z=0)|\lt \mu _w p_s(0)$
, and the grains do not slip there, or (c,e) it does and they do. Where the shear stress is below the internal yield stress,
$|\sigma _{xz}'|\lt \mu _sp_s$
, the granular layer behaves as a rigid plug, as in (b,c).

Examples of the different possible stress and velocity configurations in the bridged state (
$h \equiv b$
,
$P_s\gt 0$
and
$\sigma '_{xz}(z=h) \lt 0$
), neglecting the fluid phase (
$\partial _x{p_{\!f}}=0$
). (a) Possible shear-stress profiles
$\sigma _{xz}'(z)$
(red and blue lines), together with the effective yield stress of the granular layer
$\pm \mu _s p_s$
, where
$p_s = P_s + \phi _s^* g\, \Delta \rho\, (b-z)$
(solid yellow); the shear stress lies below the yield stress in the shaded region. If
$\mu _w = \mu _{w1} \lt \mu _s$
(blue), then the granular layer does not yield anywhere and must move as a rigid plug, as in (b). If
$\mu _w = \mu _{w1} \gt \mu _s$
(red), then different flow profiles are possible depending on whether the shear stress attains the slip stress on either the upper or lower wall, as sketched in (c,d,e), each corresponding to the equivalent line style in (a).

We first consider the unbridged portions of the granular layer (i.e. the transition region and the far field) in figure 2, for which
$h \lt b$
and
$P_s \equiv 0$
. For simplicity, we neglect the role of the fluid by taking
$\sigma _{xz}'(z = h) = 0$
and
$\partial _xp_{\!f}=0$
. Recalling that the shear stress at any horizontal location increases linearly with depth (2.13), we find that four types of qualitative profile arise. When
$\mu _w \lt \mu _s$
(blue curves), the shear stress can never grow large enough for the granular layer to yield internally:
$|\sigma _{xz}'| \lt \mu _s p_s$
and
$|\partial _z u_s| \equiv 0$
for all
$z$
. As a result, the grains do not deform, and either remain stationary (figure 2
b) or move as a rigid body (figure 2
c), depending on whether
$\sigma _{xz}'(z = 0)$
is less than or equal to
$\mu _w p_s(z=0)$
, respectively. By contrast, when
$\mu _w \gt \mu _s$
(red curves), the granular layer yields over its entire thickness, again with either no slip (figure 2
d) or slip (figure 2
e) on the base, depending on the size of the basal stress. Note that analogous profiles have been observed in the case of viscoplastic fluids with wall slip (Lawal et al. Reference Lawal, Kalyon and Yilmazer1993).
We next consider the bridged portions of the granular layer, in figure 3, for which
$h\equiv 0$
,
$P_s\gt 0$
, and
$\sigma _{xz}'(z=h= b)$
is dictated by friction with the top wall. Note that we again neglect the role of the fluid. As in the unbridged portions (figure 2), there are different cases depending on whether
$\mu _w \lt \mu _s$
or
$\mu _w \gt \mu _s$
. In the former case (blue, figure 3
b), the grains remain everywhere unyielded and slide over both boundaries as a rigid plug (because of the moving piston, the bridged region cannot remain stationary). If
$\mu _w \gt \mu _s$
(red, figures 3
c–e), then there are more possibilities. The grains may be able to slip, or not, on both the upper and lower walls, depending on the local shear and normal stresses, and in all cases there may be some unyielded interior region where the shear stress falls below the effective yield stress (figure 3
a). Across the entire parameter space, we expect the solid velocity to be smaller near the bottom wall than near the top wall because
$p_s$
increases from top to bottom due to gravity.
To accommodate the scenarios shown in figures 2 and 3, we seek in general a piecewise solid velocity of the form
\begin{align} u_s=\begin{cases} u_{s1}(x,z,t) & \text{if} \ 0\leqslant z \leqslant h_{y1},\\[3pt] u_{s2}(x,t) & \text{if} \ h_{y1} \lt z \leqslant h_{y2},\\[3pt] u_{s3}(x,z,t) & \text{if} \ h_{y2} \lt z \leqslant h,\\ \end{cases} \end{align}
such that the granular layer is unyielded (
$\partial _z u_s = 0$
) in an interior region
$h_{y1} \lt z \lt h_{y2}$
and yielded (
$|\partial _z u_{s}| \gt 0$
) outside that region, with continuity of velocity requiring that
$u_{s1} = u_{s2}$
at
$z = h_{y1}$
and
$u_{s2} = u_{s3}$
at
$z = h_{y2}$
. The locations
$h_{y1}$
and
$h_{y2}$
are determined by solving
$\sigma _{xz}' = \pm \mu _s p_s$
to give
In the yielded regions (
$0 \lt z \lt h_{y1}$
and
$h_{y2} \lt z \lt h$
), we combine (2.13) and (2.15) with the appropriate granular rheology from § 2.2 to obtain ordinary differential equations (ODEs) for
$u_{s1}$
and
$u_{s3}$
.
2.2. Granular rheology
In the region where the granular layer has yielded,
$|\sigma _{xz}'| \gt \mu _s p_s$
, we adopt a
$\mu (I)$
-type rheology to describe its evolution (Cassar et al. Reference Cassar, Nicolas and Pouliquen2005; Jop et al. Reference Jop, Forterre and Pouliquen2005; Pouliquen et al. Reference Pouliquen, Cassar, Jop, Forterre and Nicolas2006). These rheologies relate the effective viscosity of the solid phase,
$\mu$
, to either the inertial number
$I$
, or the viscous number
$I_v$
, both of which are defined below. The specific choice depends on the magnitude of the Stokes number
$\textit{St} \sim I^2/I_v \sim \rho _s d^2\, |\partial _z u_{s}|/ \eta _{\!f}$
, which compares inertial forces to viscous forces on the scale of the grains. Viscous drag from the fluid is expected to dominate inertia at the grain scale for
$\textit{St}\ll {}1$
, whereas grain-scale inertia is expected to be dominant for
$\textit{St}\gg {}1$
. As such, different rheologies are appropriate in these two regimes. Some effort has been made to combine the two regimes into a single rheology (Boyer et al. Reference Boyer, Guazzelli and Pouliquen2011; Baumgarten & Kamrin Reference Baumgarten and Kamrin2019; Rettinger et al. Reference Rettinger, Eibl, Rüde and Vowinckel2022; Tapia et al. Reference Tapia, Ichihara, Pouliquen and Guazzelli2022), but we treat them separately for simplicity.
In § 3, we consider the ‘dry’ case where
$\textit{St}\gg {}1$
, in which limit the fluid phase is negligible. In this case, we follow Iordanoff & Khonsari (Reference Iordanoff and Khonsari2004) and Da Cruz et al. (Reference Da Cruz, Emam, Prochnow, Roux and Chevoir2005) by taking
where
$I_0$
and
$\mu _2$
are constants. The inertial number
$I$
is
\begin{align} I = \sqrt {\frac {d^2 \rho _s}{p_s}} \left | \frac {\partial u_s}{\partial z} \right |\!, \end{align}
where, under the lubrication approximation,
$|\partial u_s/\partial z|$
is the leading-order contribution to the magnitude of the rate-of-strain tensor. Equation (2.25) is an empirical fit to experiments and numerical simulations, and is defined such that
$\mu \to \mu _s$
for
$I\ll I_0$
and
$\mu \to \mu _2$
for
$I\gg {}I_0$
.
In § 4, we consider the ‘wet’ case where
$\textit{St}\ll {}1$
, in which limit fluid viscosity dominates granular inertia. In this case, we follow Boyer et al. (Reference Boyer, Guazzelli and Pouliquen2011) by taking
where
$I_0$
and
$\mu _2$
are again constants, the appropriate values of which are not necessarily the same as in (2.25). The viscous number
$I_v$
is
having again taken
$|\partial _z u_s|$
to be the leading-order contribution to the magnitude of the rate-of-strain tensor. The last two terms on the right-hand side of (2.27) mean that
$\mu (I_v)$
will increase without bound as
$I_v$
increases.
By substituting either (2.25) and (2.26) or (2.27) and (2.28) into the frictional-rheology model in (2.15), we arrive at a nonlinear ODE for
$u_s$
, with boundary conditions described in more detail below.
Note that both the
$\mu (I)$
and
$\mu (I_\nu )$
models presented here have been shown to be mathematically ill-posed in their general, time-dependent, tensorial forms (Barker et al. Reference Barker, Schaeffer, Bohorquez and Gray2015, Reference Barker, Gray, Schaeffer and Shearer2023); specifically, they can be unstable to arbitrarily small-wavelength perturbations for some ranges of
$I$
and
$I_\nu$
. This problem can be resolved by carefully accounting for compressibility in each case (Barker et al. Reference Barker, Schaeffer, Shearer and Gray2017, Reference Barker, Gray, Schaeffer and Shearer2023). In the present lubrication framework, the momentum balance (2.12) is quasi-steady, which avoids any direct issues of ill-posedness. In the future, it could be instructive to consider a compressible version of the present model that remains formally well-posed even away from the lubrication limit.
2.3. Non-dimensionalisation and regularisation
To non-dimensionalise our model, we use
$b$
,
$b/\dot {\delta }$
,
$\dot {\delta }$
and
$\phi _s^*\, \Delta \rho\, g b$
as characteristic spatial, temporal, velocity and pressure scales. The key non-dimensional parameters are then
as well as
$\mu _w$
,
$\mu _s$
, and the other constants in the
$\mu (I)$
and
$\mu (I_v)$
constitutive laws. The parameter
$K$
is the non-dimensional permeability. Noting that
$\eta _{\!f} \dot {\delta } / b$
is the characteristic shear stress from the upper fluid layer, the parameter
$\theta$
can be viewed as a modified Shields parameter that measures the strength of fluid shear relative to the weight of the granular bed. The modified Froude number
$\textit{Fr}$
measures the strength of inertial forces relative to gravitational forces, scaled by
$d/b$
. The ratio
$\textit{Fr}^2/\theta \equiv \textit{St}$
recovers the Stokes number, which, as noted above, compares the relative importance of inertial and viscous forces on the scale of the grains. In the ‘wet’ granular limit (
$\textit{St} \ll 1$
), we find that
$\textit{Fr}$
drops out of the problem; in the ‘dry’ granular limit (
$\textit{St} \gg 1$
),
$\textit{Fr}$
becomes the main control parameter.
In § 2.1, we neglected the inertia of the fluid–solid mixture in the macroscopic momentum balance (2.5). The present scalings suggest that the relative importance of macroscopic inertia is governed by the square of the macroscopic Froude number,
$\mathcal{F}^2 \equiv \dot \delta ^2/(bg) = (\textit{Fr} \,b/d)^2 = \textit{St} \, \theta (b/d)^2$
. Since the grains are much smaller than the gap,
$\mathcal{F}$
is always larger than
$\textit{Fr}$
, meaning that neglecting macroscopic inertia is reasonable only when
$\textit{Fr}^2 \ll 1$
. Nonetheless, grain-scale inertia will control the granular rheology when
$\textit{St} = \textit{Fr}^2/\theta \gg 1$
(i.e. in the ‘dry’ limit). Together, these criteria suggest that macroscopic inertia can be neglected, even when the local dynamics are controlled by grain-scale inertia, when
$\theta \ll \textit{Fr}^2 \ll 1$
. In the ‘wet’ limit (i.e.
$\textit{St}\ll {}1$
),
$\textit{Fr}$
drops out and can be freely chosen to ensure that inertial effects are negligible. Note that we have also neglected the inertia of the overlying fluid layer, which is reasonable when the fluid Reynolds number
$\textit{Re}_{\!f} = \rho _{\!f} \dot \delta b/\eta _{\!f}$
is sufficiently small.
From this point on, we retain our original notation, but all quantities are dimensionless unless explicitly noted otherwise. The evolution equation for the height of the granular layer, (2.2), becomes
and
recalling that
$P = P_{\!f} + P_s$
, where
$P_{\!f}$
and
$P_s$
are the dimensionless fluid pressure at
$z=1$
and the dimensionless solid pressure at
$z=h$
, respectively. To solve for the velocity profile
$u_s(z)$
, we equate (2.13) for the shear stress with (2.15) for the rheology to obtain
where
$p_s = P_s + (h-z)$
is the dimensionless solid pressure, and noting that the velocity profile
$u_s(z)$
must be continuous in
$z$
. The shear stress at the top of the granular layer,
$\sigma _{xz}'(z=h)$
, is given below. As discussed in § 2.2, we use a frictional rheology model with
$\mu = \mu (I)$
for
$\textit{St} \gg 1$
(2.25) and
$\mu = \mu (I_v)$
for
$\textit{St} \ll 1$
(2.27), where the inertial and viscous numbers are
respectively, and the associated expressions for
$\mu$
are given in (2.25) and (2.27).
The shear stress
$\sigma _{xz}^\prime (z=0)$
is determined by wall friction via (2.18) and (2.19). Similarly to internal granular friction, a challenge with wall friction is that the horizontal profile
$u_s(x,z=0)$
may feature multiple coupled sliding and non-sliding regions. To avoid the need to track these regions explicitly, we unify (2.18) and (2.19) in a dimensionless, regularised form as
where
$\varepsilon \ll 1$
is a dimensionless regularisation parameter. Equation (2.36) provides a single continuous expression for
$\sigma _{xz}'(z = 0)$
over the entire
$x$
-domain, ensuring that
$|\sigma _{xz}'(z = 0)| \lt \mu _w(P_s+h)$
when
$u_s(z = 0) \lesssim {} \varepsilon \ll 1$
, while converging rapidly to (2.19) for larger values of
$u_s(z=0)$
. This type of regularisation is common in the numerical simulation of viscoplastic fluids, because it avoids the need to introduce internal free boundaries between yielded and unyielded regions (e.g. Balmforth et al. Reference Balmforth, Frigaard and Ovarlez2014). Adopting it here for wall friction allows us to solve a single, continuous problem in
$x$
, which is convenient for the quasi-one-dimensional flow studied here and even more-so for complex, quasi-two-dimensional frictional-flow patterns (i.e. Sandnes et al. Reference Sandnes, Flekkøy, Knudsen, Måløy and See2011). Some care should be taken with regularisations of this form to avoid the potential misidentification of yielded regions (e.g. Putz et al. Reference Putz, Frigaard and Martinez2009); we illustrate the convergence of our solutions with decreasing
$\varepsilon$
in Appendix A.
The shear stress
$\sigma _{xz}^\prime (z=h)$
is determined locally by wall friction if the grains are in contact with the top wall (i.e. (2.21) and (2.22)) for
$h\equiv {}1$
), or by fluid shear otherwise (i.e. (2.8) for
$h\lt 1$
). These scenarios can be captured concisely by introducing an indicator function
$\chi (h)$
that transitions from
$\chi (h\lt 1)=0$
to
$\chi (h\equiv 1)=1$
, such that
where the first term on the right-hand side is regularised wall friction and the second is viscous shear.
In (2.37), the term proportional to
$\theta$
is inversely proportional to
$1-h$
, which illustrates an awkward feature of the model. As discussed in § 2.1.1, the upper fluid layer satisfies no-slip conditions on both the stationary top wall and the moving granular layer. However, the thickness of this fluid layer vanishes as the granular layer approaches and then touches the top wall (i.e. as
$h\to {}1$
, the bridging transition). As a result, the shear stress required to drive relative motion between the granular layer and the wall – which requires shearing the vanishing fluid layer – can become arbitrarily large as
$h\to 1$
, driving the system towards a no-slip condition between the granular layer and the wall. For a system of two fluid layers, this smooth approach toward no-slip between the lower layer and the wall is physically appropriate. In the present scenario, however, the lower layer should instead transition a frictional condition when it touches the upper wall; this frictional condition features an upper limit on the shear stress, allowing for sliding (i.e. slip) when that limit is reached. Hence the lower layer could experience a jump in velocity and shear stress upon contacting the top wall unless this transition is regularised. In reality, the top of the granular layer is a permeable surface with grain-scale roughness. As a result, we expect fluid flow in the upper layer to transition smoothly into flow through the granular porous medium, and the shear stress at the top surface of the granular layer to transition smoothly from fluid shear to wall friction, as the irregular granular surface gradually makes contact with the top wall.
To reflect this smooth transition, we regularise the implementation of (2.37) in two ways. First, we place a non-zero minimum on the thickness of the fluid layer (i.e. on
$1-h$
) as it appears in the final term of (2.37), which reflects the fact that this construction breaks once the gap becomes comparable to the grain size. Specifically, we use the dimensionless permeability
$K$
as a floor on
$1-h$
in the last term in (2.37) in order to link the regularisation to the grain size (
$\sqrt {K}$
would scale more directly with the grain diameter, but would also regularise more aggressively). Second, we replace the sharp indicator function
$\chi (h)$
with a smoothed step function of the form
$\chi = h^n$
with
$n\gg 1$
, thus regularising the bridging transition. The latter regularisation has the added benefit of preserving a continuous problem in
$x$
, avoiding the need to track the free boundary between bridged and unbridged regions. We show in Appendix A, and specifically figure 17(c), that our results are insensitive to the value of
$n$
provided that it is large enough.
Equations (2.32)–(2.34) lead to a nonlinear first-order ODE for
$u_s(z)$
that also depends on
$P_s$
and
$\partial _x P_{\!f}$
. Expressions for the latter two quantities follow from evaluating (2.13) at
$z=0$
:
Combined with (2.36) and (2.37), this relationship determines
$\partial _x P_{\!f}$
in the unbridged region (where
$P_s = 0$
), and
$P_s$
in the bridged region (where
$\partial _x P_{\!f} = 0$
), recalling that
$P = P_s + P_{\!f}$
.
Finally, the ODE for
$u_s$
requires a boundary condition. The appropriate constraint follows from global conservation of mass, (2.4), which becomes
where
$\bar {k} = K h + (1 - h)^3/12$
is the dimensionless gap-averaged permeability.
2.4. Numerical details – boundary and initial conditions
To solve the model presented in § 2.3, we simplify computation by shifting to a frame
$X=x-t$
that moves with the piston. With this change of frame, (2.30) becomes
We solve the problem from initial condition
$h(X,0)=h_0$
and subject to boundary conditions
$u_s = u_{\!f} = 0$
at
$X=0$
(grains and fluid travelling with the impermeable piston) and
$\partial h/\partial X = 0$
at
$X=L_X$
(grains undisturbed in the far field), where the domain size
$L_X$
is chosen to be sufficiently far ahead of the transition zone that its value has no impact on the results. We discretise the numerical domain
$0 \leqslant X \leqslant L_X$
into
$1+L_X/\Delta {X}$
nodes of equal spacing
$\Delta X = 5 \times 10^{-3}$
. We then solve (2.40) for
$h$
by approximating the spatial derivative using a second-order, essentially non-oscillatory scheme and integrating in time using the forward Euler method with fixed time step
$\Delta t = 10^{-5}$
.
Evolving (2.40) in time requires that we compute
$\bar {u}_s$
at every discrete point
$X_j$
via (2.31)–(2.39) at each time step. To do so, we discretise the vertical domain at each point
$X_j$
,
$0 \leqslant z \leqslant h(X_j)$
, into
$N_z=250$
points of equal spacing
$\Delta {z}_j=h(X_j)/(N_z-1)$
. We then approximate
$\partial _z u_s$
and
$\partial _X P_s$
at each point
$X_j$
as
$(\partial _z u_s)_j\approx (u_s(X_j,z_{i+1})-u_s(X_j,z_i))/\Delta z_j$
and
$(\partial _X P_s)_j \approx (P_s(X_{j+1})-P_s(X_{j}))/\Delta X$
, respectively, noting that
$P_s=0$
in the unbridged region. Thus (2.31)–(2.39) become a coupled, nonlinear system of equations in
$N_z + 6$
unknowns:
$P_s(X_{j})$
,
$(\partial _X P_{\!f})_j$
,
$\sigma _{xz}'(X_j,0)$
,
$\sigma _{xz}'(X_j,h(X_j))$
,
$h_{y1}(X_j)$
,
$h_{y2}(X_j)$
and
$u_s(X_j,z_i)$
for
$i = 1$
to
$N_z$
. We solve this system of equations via Newton’s method using the solution at the previous time step as the initial guess. We then compute
$\bar {u}_s(X_j)$
by averaging
$u_s$
over appropriate regions in
$z$
.
For the regularisation parameters in (2.36) and (2.37), we fix
$\varepsilon = 10^{-3}$
and
$n = 200$
; our results are insensitive to these specific values (see Appendix A).
3. Dry model (
$\mu (I)$
rheology,
$\textit{St} \gg 1$
)
We first consider the ‘dry’ limit in which the fluid is unimportant, implying that
$\textit{St} \gg 1$
. As discussed in § 2.2, we therefore impose the inertial
$\mu (I)$
rheology given by (2.25) and (2.35) in the region where
$|\partial _z u_s| \gt 0$
. The dry limit also implies that
$\theta \ll {}1$
, such that (2.39) indicates
$\partial _x P_{\!f} \sim 0$
. For the results that follow, we adopt the illustrative parameter values
$I_0 = 0.3$
,
$\mu _s = 0.4$
and
$\mu _2 = 0.7$
, which are typical of monodisperse glass beads (Jop et al. Reference Jop, Forterre and Pouliquen2006; Pouliquen et al. Reference Pouliquen, Cassar, Jop, Forterre and Nicolas2006), and we explore the roles of
$\mu _w$
,
$\textit{Fr}$
and
$h_0$
. The parameters
$\theta$
and
$K$
drop out of the model in this limit.
To demonstrate the behaviour of the model, we present in figure 4(a) an example simulation performed with
$\textit{Fr} = 0.1$
and
$\mu _w = 0.85$
. Our simulation qualitatively reproduces the behaviour illustrated in figure 1. The grains undergo a period of initial pile-up until they bridge the gap. Thereafter, the length of the bridged region,
$L$
, continues to grow and the transition region evolves towards a steady travelling wave with constant speed
$\dot {L} = 1/ (1 - h_0)$
(figure 4
b), which follows from conservation of solid volume. As such, for visualisation purposes, it is convenient to introduce a travelling-wave coordinate
$\tilde {x} = x - L$
, such that the bridged region occupies
$\tilde {x} \lt 0$
and the transition and undisturbed regions occupy
$\tilde {x} \gt 0$
. We consider the model to have reached a steady state once the shape of the transition region and the solid velocity within the transition region cease to vary in the travelling frame, which generally occurs quickly after the grains have bridged the gap.
(a) Height profiles of the granular layer at various times from numerical solutions to (2.30)–(2.39) with
$h_0 = 0.5$
,
$\textit{Fr} = 0.1$
and
$\mu _w = 0.85$
. The vertical dotted black lines denote the location of the piston and the black arrow indicates direction of increasing time, with solutions being plotted at time intervals
$0.25$
for
$0\leqslant {}t\leqslant {}2.25$
. (b) The translation speed of the transition region (i.e. the rate of change of the length of the bridged region,
$\mathrm{d}L/\mathrm{d}t$
) in the steady travelling-wave limit from transient numerical simulations (red dots) and from conservation of solid volume,
$\dot {L} = 1/(1 - h_0)$
(blue curve).

We next compute the solid velocity within the steady travelling wave over a range of values of
$\textit{Fr}$
for
$\mu _s \lt \mu _w \lt \mu _2$
and for
$\mu _s\lt \mu _2\lt \mu _w$
, as shown in figure 5. The horizontal red lines indicate where the grains are sliding along the walls (i.e. the regions where
$u_s \gt 0$
at
$z = 0$
and
$1$
). Recall that
$\mu (I)\to \mu _2$
for
$I\gg {}I_0$
, such that
$\mu _2$
is the limiting value of intra-granular friction at large shear rates. We do not illustrate the case
$\mu _w\lt \mu _s$
because it leads to the trivial velocity profile
$u_s = 1$
throughout the bridged and transition regions for all
$\textit{Fr}$
(figures 2(c) and 3(b)). Next, we investigate in detail the motion of the grains in the bridged region (§ 3.1) and in the transition (§ 3.2).
The velocity profile of the solid phase at steady state computed with (a)
$\mu _w = 0.55$
and (b)
$0.85$
. The Froude number (top to bottom) is
$\textit{Fr} = 0.01$
, 0.05 and 0.35. The dashed black lines denote the locations of
$h_{y1}$
and
$h_{y2}$
defined by (2.31), recalling that
$\partial _z u_s = 0$
for
$h_{y1} \lt z \lt h_{y2}$
. The solid black vertical lines denote the end/start of the bridged/transition regions. The red lines denote the regions where the grains slide over the walls, i.e.
$u_s \gt 0$
at
$z = 0$
and 1.

3.1. Bridged region
Since
$h\equiv 1$
in the bridged region by definition, (2.30) becomes unnecessary and (2.39) simplifies to
$\bar {u}_s = 1$
. However, as discussed in § 2.1.2, the solid velocity is non-trivial due to intra-granular friction and wall friction. As illustrated in the first row of figure 5, when
$\textit{Fr}$
is sufficiently small, the grains will yield over the entire gap around the start of the bridged region (
$h_{y1} = h_{y2} = 1$
), and the grains do not slide over the bottom plate. As the length of the bridged region grows, the grains stop sliding over the top plate, resulting in the velocity profile illustrated in figure 3(e). When
$\mu _w \lt \mu _2$
(figure 5
a), as
$\textit{Fr}$
increases, we find that the grains begin to slide over both the top and bottom plates. Further, for large
$\textit{Fr}$
, the grains appear to resist internal rearrangement such that
$|\partial _z u_s| \ll 1$
across the entire gap. In comparison, when
$\mu _w \gt \mu _2$
(figure 5
b), we find that the grains do not slide over the bottom or top plate for all
$\textit{Fr}$
, and the velocity profile does not appear to change significantly as
$\textit{Fr}$
is varied.
To better understand the influence of the Froude number and the wall friction parameter, we compute the velocity profile of the grains at
$z = 1$
and
$0$
over a range of values of
$\textit{Fr}$
with
$\mu _s \lt \mu _w = 0.55 \lt \mu _2$
, as shown in figures 6(a) and 6(b). The velocity of the grains in contact with the top plate (figure 6
a) is fastest at the start of the bridged region, and monotonically decreases to
$0$
as the length of the bridged region grows, after which the grains are stationary. Further, the length of the region where grains slide over the top plate increases with
$\textit{Fr}$
. For the grains in contact with the bottom plate (figure 6
b),
$\textit{Fr}$
must be sufficiently large or the grains will be stationary over the entire bridged region. When
$\textit{Fr}$
becomes sufficiently large, the grains will begin to slide, which corresponds to the point where
$\mu (I) = \mu _w$
, as shown in figure 6(c). However, unlike grains in contact with the top plate, grains will be stationary at the start of the bridged zone, resulting in a region where grains slide sandwiched between regions where the grains are stationary. As
$\textit{Fr}$
increases further, this region where
$u_s(z = 0) \gt 0$
will ‘spread’ and the grains at the start of the bridged zone will begin to move. In comparison, when
$\mu _w = 0.85$
, grains do not slide over either plate for all
$\textit{Fr}$
. Figure 6(c) indicates that while
$\mu (I)$
(denoted by dashed lines for
$\mu _w = 0.85$
) increases with
$\textit{Fr}$
as it does for
$\mu _w = 0.55$
, it will always be smaller than
$\mu _w$
, in this case, because it is bounded above by
$\mu _2 = 0.7 \lt \mu _w$
.
Velocity of the grains on the (a) top and (b) bottom plates with
$\mu _w = 0.55$
and (light to dark blue)
$\textit{Fr} = 0.01$
, 0.04, 0.06, 0.1 and 0.15. (c) The friction factor
$\mu (I)$
evaluated at
$z = 0$
for
$\mu _w = 0.55$
(solid) and
$\mu_w=0.85$
(dashed). The dashed black lines denote
$\mu _s = 0.4$
, and the two values of
$\mu _w$
being considered.

Figure 6. Long description
Panel A: A line graph shows the velocity of grains on the top plate. The x-axis is labeled with x-tilde ranging from -5 to 2, and the y-axis is labeled with u sub s(z equals 1) ranging from 0 to 1.5. The graph includes multiple lines in varying shades of blue representing different values. An arrow labeled Fr is also present. Panel B: Another line graph displays the velocity of grains on the bottom plate. The x-axis is labeled with x-tilde ranging from -5 to 2, and the y-axis is labeled with u sub s(z equals 0) ranging from 0 to 1.5. This graph also includes multiple lines in varying shades of blue. Panel C: A line graph illustrates the friction factor evaluated at z equals 0. The x-axis is labeled with x-tilde ranging from -5 to 2, and the y-axis is labeled with mu(I(z equals 0)) ranging from 0.4 to 0.8. The graph features solid and dashed lines in blue and black, with the dashed black lines denoting specific values.
As the length of the bridged region grows and
$P_s$
becomes sufficiently large, for all
$\textit{Fr}$
and
$\mu _w \gt \mu _s$
, the grains will not be able to slide over both the top and bottom plates. Further, as indicated by figure 7(a),
$h_{y1}$
and
$h_{y2}$
evolve from 0 to 1, respectively, towards 1. As such, the velocity profile of the grains will tend to
$u_s \approx 1$
, except for the increasingly thin regions around
$z = 0$
and 1. Such a profile is not observed in experiments, as discussed further in § 5, and we anticipate that our continuum approximation will break down when
$h_{y1}$
and
$1 - h_{y2}$
become sufficiently small. When the velocity of the grains in contact with the walls is of order
$\varepsilon$
, figure 7(b) shows that
$\tanh (u_s/\varepsilon )$
at
$z = 0$
and 1 will tend to
$\mu _s / \mu _w$
, which still satisfies
$u_s \ll 1$
. Thus from (2.38), it follows that
$\partial _x P_s \sim -2\mu _s P_s$
, indicating that pressure builds up exponentially through the bridged region, as illustrated in figure 7(c). By comparison, when
$\mu _w \lt \mu _s$
, we have the trivial velocity profile
$u_s = 1$
,
$\tanh (u_s / \varepsilon ) \sim 1$
and
$\partial _x P_s \sim -2\mu _w P_s$
resulting in the same exponential behaviour, but not controlled by the wall friction factor. This exponential relationship between the length of the bridged region and the normal stress at the piston is consistent with previous DEM simulations (Marks et al. Reference Marks, Sandnes, Dumazer, Eriksen and Måløy2015).
(a) The location of the yield layers
$h_{y1}$
(dashed curve) and
$h_{y2}$
(solid curve) determined by (2.31). (b) The hyperbolic tangent of the solid velocity at
$z = 1$
(solid curve) and
$z = 0$
(dashed line), which are used to compute the regularised shear stress according to (2.36) and (2.37), recalling that
$\varepsilon = 10^{-3}$
. (c) Natural log of
$|\partial _x P_s|$
computed from (2.38). Solutions are computed with
$\textit{Fr} = 0.1$
and
$\mu _w = 0.55$
(blue) and
$\mu_w=0.85$
(red).

3.2. Transition zone
We now turn our attention to the behaviour of the transition zone, which, as illustrated in figure 1(c), is the wedge-shaped region with
$h \lt 1$
and
$P_s = 0$
. In this region, given that the impact of the fluid on the grains is negligible, it follows that
$\sigma _{xz}(z = h) \sim 0$
, and the (non-dimensional) shear stress, (2.13), reduces to
As illustrated in figure 2, when
$\sigma _{xz}(z = h) = 0$
, the entire solid layer will be plugged (
$h_{y1} = 0$
and
$h_{y2} = h$
) if
$\mu _w \lt \mu _s$
. If
$\mu _w \gt \mu _s$
, then the solid layer will yield
$(h_{y1} = h_{y2} = h)$
if
$|\partial _x h| \gt \mu _s$
, or be plugged otherwise. As such, we can reduce (2.23) to
\begin{align} u_s &= \begin{cases} u_{s}(z = 0) & \textrm {if } \ 0 \leqslant z \lt h_y, \\[3pt] u_{sy}(x,z,t) & \textrm {if } \ h_y \leqslant z \lt h, \end{cases} \end{align}
where
\begin{align} h_y = \begin{cases} 0 & \textrm {if } \ |\partial _x h| \gt \mu _s, \\[3pt] h & \textrm {otherwise}. \end{cases} \end{align}
As such, we arrive at the so-called Bagnold profile (Andreotti et al. Reference Andreotti, Forterre and Pouliquen2013) in the yielded region
where
Further, by substituting the inertial number
$I = \textit{Fr} \ \partial _z u_s / \sqrt {h-z}$
into (2.25), we arrive at
which combined with (2.25) reduces to
$\mu (I) = -\partial _x h$
.
Recall that representative solutions were shown in figure 5(a) with
$\mu _w \lt \mu _2$
, and in figure 5(b) with
$\mu _2 \lt \mu _w$
. We find that as
$\textit{Fr} \to 0$
(first row), the height of the granular pile tends to a line of slope
$-\mu _s$
. Further, the grains on the bottom plate are stationary such that the velocity profile takes the form illustrated in figure 2(b). When
$\mu _w \lt \mu _2$
(figure 5
a), as
$\textit{Fr}$
increases, the length of the transition zone decreases and the grains begin to slide along the bottom plate. For sufficiently large
$\textit{Fr}$
(third row), the grains appear to resist internal rearrangement such that
$|\partial _z u_s| \ll 1$
. When
$\mu _2 \lt \mu _w$
(figure 5
b), again the slope of the transition zone decreases with increasing
$\textit{Fr}$
. However, unlike in figure 5(a), the grains remain stationary on the bottom plate for all
$\textit{Fr}$
. Analogous behaviour was observed in the bridged region discussed previously. For the case where
$\mu _w \lt \mu _s$
(not shown), the grains do not yield; as such, solutions are independent of
$\textit{Fr}$
and the granular pile takes the shape of a wedge with
$\partial _x h = -\mu _w$
.
We compute the maximum magnitude of the slope of
$h$
as a function of
$\textit{Fr}$
over a range of values of
$\mu _w$
(figure 8
a), as well as the corresponding length
$\lambda$
of the transition zone (figure 8
b), where we define the latter as the distance between the last bridged point and the first undisturbed point. We determine these values by integrating our full time-dependent model for a sufficiently long time such that the shape and velocity of the transition zone become constant. We find that for all
$\mu _w \gt \mu _s$
,
$\max |\partial _x h|$
– and in turn
$\max |\mu (I)|$
– will tend to
$\mu _s$
as
$\textit{Fr} \to 0$
. This behaviour can be explained by taking
$\textit{Fr} \to 0$
with
$u_{s1} \sim {O}(1)$
in (3.4), which implies that
$\partial _x h \sim -\mu _s$
. When
$\mu _s \lt \mu _w \lt \mu _2$
,
$\max |\partial _x h|$
(and
$\max |\mu (I)|$
) will monotonically increase with
$\textit{Fr}$
from
$\mu _s$
and plateau at
$\mu _w$
. Once
$\max |\partial _x h|$
has plateaued, the shear stress is sufficiently large on the base such that the grains will begin sliding,
$u_s(z = 0) \gt 0$
. Given that the inertial number
$I \sim \textit{Fr} \ \partial _z u_s$
does not increase above
$\mu _w$
once grains begin sliding along the base, it follows that
$\partial _z u_s \to 0$
as
$\textit{Fr}$
becomes large, resulting in the plug-like flow observed in the third row of figure 5. Further, taking the limit that
$\textit{Fr}$
is large, (3.4) and (3.5) imply that
$u_s \sim u_s(z = 0)$
and
$\partial _x h \sim -\mu _w$
. When
$\mu _w \gt \mu _2$
, we find that
$\max |\partial _x h|$
will monotonically increase from
$\mu _s$
to
$\mu _2$
with increasing
$\textit{Fr}$
, while
$\lambda$
will decrease from
$\lambda \to 1/(2\mu _s)$
to
$1/(2\mu _2)$
. As
$\max |\partial _x h| \lt \mu _w$
for all
$\textit{Fr}$
, the shear stress at the base is never sufficiently large for the grains to slide over the bottom plate and remain stationary. As such, solutions are independent of
$\mu _w$
for all
$\mu _w \gt \mu _2$
. In the case where
$\mu _w \lt \mu _s$
, as discussed above, we find that
$\max |\partial _x h| = \mu _w$
and
$\lambda = 1/(2\mu _w$
) for all
$\textit{Fr}$
. Note that it is no longer reasonable to neglect the macroscopic inertia of the fluid–solid mixture once
$\textit{Fr} \gtrsim O(1)$
, as discussed in § 2.3, so inertial effects should play a role for the solutions with the largest
$\textit{Fr}$
here.
(a) The maximum magnitude of the slope of
$h$
, recalling that
$I = -\partial _x h$
, computed with
$h_0 = 0.5$
,
$\mu _s = 0.4$
and
$\mu _w = 0.3, 0.4, \ldots, 0.7$
. (b) The corresponding length
$\lambda$
of the transition region.

Although
$h$
will tend to a straight line in the limits such that
$\textit{Fr}$
becomes sufficiently small or large, the shape of the granular pile is not trivial for intermediate values of
$\textit{Fr}$
. To better understand how the shape of the transition zone varies, we solve for
$h$
over a range of values of
$\textit{Fr}$
(figure 9
a), and extract the corresponding slope (figure 9
b). For small
$\textit{Fr}$
, the magnitude of the slope of
$h$
tends to
$\mu _s$
, as expected. As
$\textit{Fr}$
increases,
$h$
becomes slightly more nonlinear and
$|\partial _x h|$
non-uniformly increases, where the slope is steeper at the start of the transition zone and decreases to 0 by the end. The magnitude of the slope increases with
$\textit{Fr}$
until it reaches
$\mu _w$
, which corresponds to the point at which the grains will slide along the bottom plate. We note that the shape of the transition zone is in good qualitative agreement with previous results. Specifically, Marks et al. (Reference Marks, Sandnes, Dumazer, Eriksen and Måløy2015), who performed DEM simulations of bulldozing in a confined geometry, showed that the shape of the transition zone is approximately linear with a gradient that steepens as the equivalent of the Froude number increases. Similarly, Sauret et al. (Reference Sauret, Balmforth, Caulfield and McElwaine2014), who investigated a continuum model of dry bulldozing in an unconfined geometry, showed that profiles are primarily linear in shape but can become slightly ‘curvy’, particularly around the leading edge, with increasing
$\textit{Fr}$
.
(a) The height of the granular pile for
$h_0 = 0.5$
,
$\mu _w = 0.6$
and
$\textit{Fr}$
= {
$0.001$
,
$0.017$
,
$0.036$
,
$0.06$
,
$0.1$
,
$0.17$
,
$1$
}. (b) Corresponding magnitude of the slope of
$h$
. Dotted black lines denote values of
$\mu _s$
,
$\mu _w$
and
$\mu _2$
.

We repeat this process for a fixed
$\textit{Fr}$
across a range of values of
$h_0$
(figure 10). For larger values of
$h_0$
(darker blue curves),
$|\partial _x h|$
monotonically decreases over the transition zone. For smaller values of
$h_0$
(blue curves),
$|\partial _x h|$
is non-monotonic such that it initially increases and reaches a peak, then decreases to 0. For sufficiently small
$h_0$
,
$\max |\partial _x h|$
rises above
$\mu _w$
, suggesting that there will be a region where the grains slide along the base (
$|\sigma _{xz}'| \gt \mu _w p_s$
at
$z = 0$
) sandwiched between regions where the grains are stationary,
$u_s(z = 0) = 0$
.
(a) The height of the granular pile for
$\textit{Fr} = 0.06$
,
$\mu _s = 0.4$
,
$\mu _w = 0.6$
and
$h_0$
= {0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7}. (b) Corresponding magnitude of the slope of
$h$
. Dotted black lines denote the values of
$\mu _s$
,
$\mu _w$
and
$\mu _2$
.

4. Viscous model (
$\mu (I_v)$
rheology)
We turn our attention to the influence of the ambient fluid on the grains. In this case, the Stokes number, recalling
$\textit{St} \sim 1/\eta _{\!f}$
, can be small, and as such we impose
$\mu (I_v)$
rheology in the region where the grains have yielded, as discussed in § 2.2. As illustrative values for the following results, we take
$K = 10^{-4}$
,
$I_0 = 0.005$
,
$\mu _s = 0.32$
and
$\mu _2 = 0.7$
, which were measured by Boyer et al. (Reference Boyer, Guazzelli and Pouliquen2011) in the case of plastic beads, and we fix
$h_0 = 0.5$
. Recall that the model becomes independent of
$\textit{Fr}$
in this limit, provided that
$\mathcal{F}^2 = (\textit{Fr}\, b/d)^2 \ll 1$
to ensure that macroscopic inertia plays no role. Following figure 5, we compute the steady-state velocity profiles over a range of values of
$\theta$
, shown in figure 11 (recall that
$\theta$
provides a measure of the relative importance of fluid shear forces, and increases with both the piston speed and the fluid viscosity; see (2.29)). In the bridged region to the left of the vertical black line, (2.39) and (2.11) lead to
$1 = \phi _s^* \bar {u}_s + (1 - \phi _s^*) \bar {u}_{\!f}$
, which implies that
$\bar {u}_s = \bar {u}_{\!f}$
and
$\partial _x P_{\!f} = 0$
. As such, the ambient fluid does not have a direct impact on the behaviour of the grains in the bridged region. While imposing
$\mu (I_v)$
rheology results in a different velocity profile to
$\mu (I)$
, we observe the same general behaviours with both models. That is, we find a non-monotonic profile with a plugged region sandwiched between two regions where the grains slide over one another. However, we find the behaviour of the grains to be noticeably different in the transition region. In particular, figure 11 shows that the length of the transition region varies non-monotonically with increasing
$\theta$
, initially decreasing (although this is hard to see by eye) before sharply increasing. In fact, we are unable to generate steady velocity profiles at all above a certain value of
$\theta$
, as discussed below.
The horizontal velocity profile of the solid phase at steady state computed with
$\mu _w = 0.55$
for different values of
$\theta$
. The dashed black lines denote the locations of
$h_{y1}$
and
$h_{y2}$
, as defined by (2.31), recalling that
$\partial _z u_s = 0$
for
$h_{y1} \lt z \lt h_{y2}$
.

A useful metric for quantifying the role of the fluid is the (non-dimensional) horizontal force exerted by the fluid on the grains at the interface between the upper and lower layers,
where
$\max |\mu (I_v)| \approx \max | F_{\!f} - \partial _x h|$
. As a point of comparison, we also computed solutions in which the overlying fluid was ignored, and thus
$F_{\!f}=0$
, by solving (2.30)–(2.39) with
$\partial _x P_{\!f} = \sigma _{xz}'(z = h) = 0$
.
Figure 12 shows details of the steady travelling wave from an example solution for moderate
$\theta$
. The length of the transition zone (figure 12
a) is larger when the fluid is included (solid lines) compared to when the fluid is ignored (dashed lines). There is a dip in the associated surface slope near the back of the transition zone (figure 12
b), which corresponds to a peak in force from the overlying fluid
$F_{\!f}$
(figure 12
c). Physically, increasing viscous forces in the fluid phase makes it harder for it to be displaced by the solid as the grains pile up. This effect is exacerbated as
$\theta$
increases, which causes the transition zone to be elongated.
(a) The height of the granular pile computed with
$\theta = 3.6 \times 10^{-4}$
and
$\mu _w = 0.6$
. (b,c) The corresponding magnitude of
$\textrm {d}h/\textrm {d}x$
and fluid force, respectively, the latter from (4.1). The dashed line denotes the case where
$F_{\!f}$
is ignored by setting
$\partial _x P = \sigma '_{xz}(z = h) = 0$
. Note that this is distinct from the dry rheology because viscosity is still important for the internal rearrangement of the grains.

This behaviour can be clearly seen in figure 13(a), which shows the steady-state length of the transition zone
$\lambda$
as a function of
$\theta$
. The transition zone length gently decreases for small
$\theta$
in line with the fluid-free case (dashed lines), but increases sharply for larger
$\theta$
as the resistance from the fluid layer starts to have an impact. These lines terminate at a critical value of
$\theta$
, beyond which computations never evolve to a steady travelling-wave solution. The transition point varies with the wall friction
$\mu _w$
, but is also strongly influenced by the permeability of the grains (inset of figure 13
a), with higher permeability increasing the value of
$\theta$
beyond which no steady solution is attained. Physically, the ability for the upper fluid to flow through the grain pack aids the displacement (via drainage) of that layer, so grains with lower resistance to drainage (higher permeability) have a higher critical
$\theta$
.
(a) The length of the transition zone. (b) The maximum magnitude of the slope of
$h$
. (c) The maximum of the fluid force from (4.1). (d) The maximum value of
$h$
over the duration of a simulation. The dots at which the various lines terminate denote the largest value of
$\theta$
at which the numerical solution converged to a steady travelling wave. The inset in (a) indicates the impact of permeability
$K$
on the value
$\theta = \theta ^*$
at which there ceases to be a steady travelling wave for
$\mu _w = 0.5$
. The dashed lines denote the case where the fluid phase is ignored by solving (2.30)–(2.39) with
$\partial _x P_{\!f} = \sigma _{xz}'(z = h) = 0$
.

The corresponding maximum slope of the free surface (figure 13
b) similarly peels off from the fluid-free case as
$\theta$
is increased, which also reflects the elongation of the transition region. Figure 13(c) shows the maximum value of the fluid force in the steady travelling-wave solution, which gives a clear indication of the impact of the fluid layer above the grains: the force is negligible when
$\theta$
is sufficiently small, but increases significantly when the fluid-free and full results start to deviate in figures 13(a,b). Note that the force-free (i.e. fluid-free) results in figure 13 follow much the same trend as the ‘dry’ results in figure 8, although there are some small quantitative differences from imposing
$\mu (I_v)$
instead of
$\mu (I)$
.
Figure 13(d) shows the maximum height ever reached by any of the grains, which is
$1$
(i.e. the height of the channel) if bridging occurs. Evidently, the grains never bridge the gap at all if
$\theta$
is sufficiently large. However, comparison with figures 13(a–c) shows that this transition from bridging to no bridging occurs at a notably larger value of
$\theta$
than the point at which a steady transition zone is no longer observed: there is evidently a range of
$\theta$
for which the grains do bridge the gap, but the transition zone does not attain a steady travelling wave.
To further explore this behaviour, we show in figure 14 details of how
$h$
evolves for three different values of
$\theta$
. The first (figure 14
a) attains a steadily propagating transition zone; the second (figure 14
b) bridges the gap, but leaves a transition zone that grows steadily longer; and the third (figure 14
c) never bridges the gap. Figures 14(d,e) show measurements of the speed of the front and back of the transition zone, and its length, which confirm this behaviour: beyond a certain value of
$\theta$
, the back of the transition region moves more slowly than the front and the transition region inexorably lengthens over time; beyond a larger value of
$\theta$
, the grains are unable to bridge the gap and the upper fluid layer reaches all the way back to the piston.
(a–c) Evolution of the thickness of the granular layer from the viscous model with
$\mu _w =0.5$
for increasing
$\theta$
(top to bottom) at equally spaced times in
$0\leqslant {}t\lt 4$
. (d) The associated speed of the leading and trailing edges of the transition region, where these edges exist. The leading and trailing edges are the maximum values of
$X$
where
$h = h_0$
(solid lines) and where
$h = 1$
(dotted lines), respectively. Both speeds exceed the speed of the piston (horizontal black line) in all cases. The two edges converge to the same speed for
$\theta =10^{-4}$
(teal) and to different speeds for
$\theta =7.74\times {}10^{-4}$
(light purple). The transition region has no trailing edge for the largest value of
$\theta$
, which never develops a bridged region (dark purple). (e) Time evolution of the length
$\lambda$
of the transition region, defined as the distance between the leading and trailing edges of the transition region. Colours in (d,e) correspond to the different cases in (a–c); the case in (c) never bridges the gap, such that
$\lambda$
is not defined.

Figure 14. Long description
Panel A: A line graph shows the evolution of the thickness of the granular layer for increasing values of theta at equally spaced times. The x-axis represents distance X, and the y-axis represents thickness h. Panel B: Another line graph depicts the same evolution for a different value of theta. Panel C: A similar line graph shows the evolution for the largest value of theta. Panel D: A line graph illustrates the speed of the leading and trailing edges of the transition region. The x-axis represents time t, and the y-axis represents speed. Solid lines indicate the leading edge speed, while dotted lines indicate the trailing edge speed. The speeds exceed the speed of the piston in all cases. Panel E: A line graph shows the time evolution of the length of the transition region, defined as the distance between the leading and trailing edges. The x-axis represents time t, and the y-axis represents the length of the transition region. Different colors correspond to different cases of theta.
5. Comparison with experiments
We present a number of laboratory experiments conducted in a horizontal glass tube with a square cross-section of internal side height
$b = 3$
mm and width
$W = 3$
mm, and a piston consisting of a steel rod with a moulded gasket (Vytaflex 60). For each experiment, the tube is initially filled with a liquid before the partial loading of wet soda lime glass beads (Honite Blast Media) with
$\rho _s = 2480$
kg m
$^{-3}$
, sieved to size range
$150\lt d \lt 200$
μm. The granular material was fed via a syringe into the tube, angled at approximately
$45^\circ$
, and allowed to fall due to gravity until forming a layer of height
$h_0 = 0.75 \pm 0.15$
mm. The piston was driven into the stationary tube by a syringe pump (Harvard PHD Ultra) at speeds ranging from
$1.85 \times 10^{-2}$
mm s-1 to
$2.78$
mm s-1. Two interstitial liquids were used: water and a solution of 70 wt % glycerol (Fisher Scientific) in water (
$\rho _{\!f} = 1181$
kg m
$^{-3}$
and
$\eta _{\!f} = 2.25 \times 10^{-2}$
Pa s). Experiments were captured with a Nikon Z6II camera and 105 mm macro lens. Following previous models of dense granular transport (Pailha & Pouliquen Reference Pailha and Pouliquen2009; Aussillous et al. Reference Aussillous, Chauchat, Pailha, Médale and Guazzelli2013), we estimate the permeability of the grains via the Kozeny–Carman formula to be
$k = 4.5 \times 10^{-5}$
mm
$^2$
. Further,
$\mu _s$
and
$\mu _w$
are taken to be 0.48 and 0.53, which we estimated from the angle of repose and the angle at which the beads slide over a flat surface, respectively. The parameters
$\mu _2$
and
$I_0$
are more difficult to determine without more advanced rheometry, so we use the values reported by Boyer et al. (Reference Boyer, Guazzelli and Pouliquen2011) (
$\mu _2 = 0.7$
,
$I_0 = 0.005$
). Over the range of these experiments, the square of the macroscopic Froude number
$\mathcal{F}^2$
is never greater than
$O(10^{-3})$
, suggesting that it is reasonable to neglect the inertia of the grain–fluid mixture. The maximum Reynolds number in the fluid layer
$\textit{Re}_{\!f}$
is
$O(1)$
, suggesting that fluid inertia should start to play a role in the fastest experiments.
We compare the height of the granular pile determined from experiments and simulations in figure 15 for relatively small (figures 15
a,c) and large (figures 15
b,d) values of
$\theta$
, corresponding to relatively slow and fast piston velocities, respectively. There is broad qualitative agreement between the experiments and simulations. That is, experiments indicate that both the length and shape of the transition region are
$\theta$
-dependent. For low
$\theta$
, the granular pile appears to have an approximately linear profile, while for a larger value of
$\theta$
,
$h$
appears more nonlinear. In figure 15(e), we compare the length of the transition zone – which is computed manually from experimental images using the processing software ImageJ – with steady-state measurements of at least three experiments being averaged. Again, both experiments and simulations reproduce the same key behaviours. Specifically,
$\lambda$
is non-monotonic in
$\theta$
, where
$\lambda$
decreases due to the balance of frictional forces between grains and walls, before sharply increasing due to the increasing viscous forces imposed on the grains. We note, however, that the experiments measure a lower value of
$\lambda$
compared to the model. One possible reason for this discrepancy is that the influence of the sides of the tube is not included in the model. As such, we extend our model to account for frictional forces due to the sides of the tube, with details being provided in Appendix B. Note that this extended model includes side-wall friction only under the assumption that there is negligible variation in the flow in the horizontal (
$y$
) direction, and this assumption must break down if the side-wall friction is sufficiently strong. Figure 15 shows that the inclusion of side-wall friction (dashed line) into the model improves the agreement with experiments, suggesting that such friction has a significant effect. A further possible reason for the discrepency between theory and experiments here could be inaccuracy in the prediction of the permeability of the grains. The results in the inset of figure 13(a) showed that a higher permeability leads to a higher value of
$\theta$
beyond which no steady
$\lambda$
exists, so we may also be slightly underestimating the permeability of the grain pack here.
(a,b) Experimental snapshots of the travelling-wave state for (a)
$\theta = 4.83 \times 10^{-7}$
(slow pushing) and (b)
$1.23 \times 10^{-4}$
(fast pushing). (c,d) The thickness of the granular layer from the experiments (red) and from corresponding simulations (without side walls, blue). For the experiments, dotted curves are the mean of three repeats and the light red bands denote one standard deviation above and below the mean. (e) The non-dimensional length of the transition region as a function of
$\theta$
from experiments (symbols) and simulations (curves). Blue and red dots denote experiments performed with water and with a solution of 70 wt % glycerol in water, respectively. Solid and dashed black curves denote simulations performed without and with the effect of side walls, respectively. Simulations are computed with
$K = 5 \times 10^{-6}$
,
$\mu _w = 0.53$
,
$\mu _s = 0.48$
,
$I_0 = 0.005$
and
$h_0 = 0.25$
.

We next compare the solid velocity profiles from experiments with simulations for a ‘moderate’ value of
$\theta$
, shown in figure 16. We measure the solid velocity in the experiments from from side-wall observations, noting that observations from above suggest that the flow field is fairly uniform across the cross-section. We position-correct videos to track the start of the transition region, then compute the steady velocity field using particle image velocimetry, time-averaging over several frames (Thielicke & Stamhuis Reference Thielicke and Stamhuis2014). We find that simulations and experiments are in reasonable agreement with each other. In the transition region
$\tilde {x} \geqslant 0$
, experiments show that the velocity profile is monotonically increasing in the vertical direction, and the shear stress at
$z = 0$
is sufficient for the grains to slide over the base, which is consistent with the model. Further, for a smaller
$\theta$
(not shown), grains in contact with the bottom of the tube are stationary, again consistent with simulations. We note, however, that experiments appear to produce profiles where
$\partial _z^2 u_s \gt 0$
, while the model produces profiles where
$\partial _z^2 u_s \lt 0$
for all values of
$\theta$
. Incorporating side walls into the model (dashed lines) can produce profiles where
$\partial _z^2 u_s \lt 0$
, suggesting again that the presence of the sides of the tube has a significant influence on the dynamics.
Slices of the non-dimensional solid velocity profile in the lab frame with
$\theta = 1.23 \times 10^{-5}$
from the model (blue) and experiments (red dots) taken at (left to right)
$\tilde {x} = -1,-0.5,\ldots,1.5$
. The dotted and solid lines denote profiles determined from the model with and without the effects of the side walls, respectively.

Regarding the velocity profile in the bridged region, recall that our model exhibits a piecewise velocity profile of the form of (2.23) illustrated in figure 3. Figure 16 shows that, qualitatively, experiments and simulations exhibit similar behaviour, where grains move more slowly near the top and bottom walls and faster in the interior, away from the walls. One notable difference between the two is that, unlike the simulations, the experiments do not exhibit a yielded profile in the interior. Unlike in the transition region, accounting for side walls does not appear to have a qualitatively or quantitatively important impact on the velocity profile, and the two scenarios (side walls and no side walls) appear to converge moving to the left, away from the transition region. However, side walls do have an important impact on the bulldozing force. As discussed in § 3.1, we find that without side walls,
$|\partial _x P_s| \sim 2\mu _w P_s$
in the bridged region; with side walls, the growth rate of the normal stress in the bridged region effectively doubles, such that
$|\partial _x P_s| \sim 4\mu _w P_s$
. We further note that the vertical velocity of the grains (not shown) from experiments is several orders of magnitude smaller than the horizontal component across the entire domain, supporting our assumption of a lubrication-type flow (
$w_s \ll u_s$
; see § 2.1.2).
6. Conclusion
We have presented a continuum model for the bulldozing of a fluid-saturated granular material in a confined geometry. We derived this model by framing the problem as a depth-averaged system of coupled thin films: an incompressible Newtonian fluid overlying a deformable, porous granular layer. To model intra-granular friction, we imposed either the inertial
$\mu (I)$
rheology (‘dry’ case) or the viscous
$\mu (I_v)$
rheology (‘wet’ case), depending on the relative importance of fluid viscosity – as quantified by the value of the Stokes number. We modelled contact with the bottom and top walls as simple Coulomb friction, such that the shear stress at the wall must be sufficiently large for the grains to slide. We neglect macroscopic inertial forces in both the fluid layer and the granular suspension. By solving our model numerically, we investigated the motion of the grains in the region where the granular layer has bridged the gap between the plates and in the transition zone between the bridged region and the undisturbed far field. We also provide a comparison of our model with experiments in § 5.
In § 3, we considered the ‘dry’ case in which the fluid is negligible. We found that in the bridged region (
$h = b$
), the grains exhibit a non-monotonic velocity profile comprising a plugged region (
$\partial _z u_s = 0$
) sandwiched between two yielded regions (
$|\partial _z u_s| \gt 0$
). This profile comes from a balance between the rate-dependent frictional intra-granular stresses with sliding friction at the walls. Further, we find that the normal stress at the piston grows exponentially with the length of the bridged region, as expected from previous work. In § 3.2, we considered the behaviour of the grains in the wedge-shaped transition zone. We found that the shape of the transition zone depends on the Froude number, generally decreasing in length with increasing
$\textit{Fr}$
due to the increasing resistance to internal rearrangement as the shear rate increases. As in the bridged region, the specific velocity profile and height of the granular layer are determined by a balance between intra-granular friction and wall friction.
In § 4, we considered the ‘wet’ case in which fluid viscosity plays an increasingly important role at faster rates. We found that for a sufficiently small Shields number
$\theta$
, the impact of the fluid is negligible and solutions exhibit the same qualitative behaviour as the ‘dry’ model. Specifically, the transition zone tends towards a triangular wedge with slope
$\mu _s$
(i.e. the static angle of repose) for
$\theta \ll 1$
. This wedge shortens as
$\theta$
increases, with the slope steepening towards
$\mu _w$
(provided that
$\mu _w \gt \mu _s$
). As
$\theta$
increases further, the transition zone instead eventually begins to lengthen and becomes less triangular due to the increasingly important role of fluid viscosity, unlike in the ‘dry’ case. For sufficiently large
$\theta$
, our model predicts that the transition region has no steady shape; rather, it lengthens continually as viscous shear from the overlying fluid acts to flatten the granular free surface. For even larger
$\theta$
, viscous shear is sufficiently strong that the granular layer is unable to bridge the gap.
This non-monotonic variation of the length of the transition region with
$\theta$
in the ‘wet’ case is consistent with experiments presented in § 5, which also show a gentle decrease and then a steep increase in
$\lambda$
as
$\theta$
increases. For low
$\theta$
, both model and experiments show that the grains in the transition zone will exhibit no-slip on the bottom wall, with a horizontal velocity that increases monotonically in
$z$
. For larger
$\theta$
, the shear stress at the base becomes sufficiently large such that the grains can slide along the bottom wall.
Although the model presented here produces reasonable qualitative agreement with experiments, several improvements are possible. For example, the model provides a somewhat better quantitative match with experiments when friction with the side walls is included. In § 2, we assumed that the solid fraction of granular layer is constant; however, in reality, granular materials are known to compact or dilate under shear. This behaviour can be incorporated by introducing additional constitutive laws for
$\phi (I)$
for the inertial regime (Forterre & Pouliquen Reference Forterre and Pouliquen2008) or
$\phi (I_v)$
for the viscous regime (Boyer et al. Reference Boyer, Guazzelli and Pouliquen2011). Similarly, our model ignores inertial effects at the continuum scale, which must become more important at higher shear rates and could, for example, enable the granular layer to overcome viscous resistance from the the fluid and bridge the gap for large
$\theta$
. Our experiments at the highest values of
$\theta$
had
$\mathcal{F}^2 \sim 10^{-3}$
but a fluid Reynolds number
$\textit{Re}_{\!f}\sim 1$
, suggesting that inertia in the fluid layer is likely to have more of an effect on the dynamics here than inertia in the granular mixture. Finally, although our model is based on a lubrication approximation, the flow may not be predominantly horizontal in all cases; as a result, secondary recirculating flow or non-trivial normal stresses could become important and are not captured in this modelling framework.
As discussed in § 1, one motivation for this work was to provide insight into the behaviour of a granular material that is being bulldozed by a fluid–fluid interface, such as during the injection of a gas into a hydrophilic, water-saturated packing. As long as capillary forces are sufficient to prevent the gas from invading the pore space of the packing, this scenario can be thought of as the bulldozing of grains by a deformable piston. Experiments in both capillary tubes (Dumazer et al. Reference Dumazer, Sandnes, Ayaz, Måløy and Flekkøy2016; Thorens et al. Reference Thorens, Måløy, Flekkøy, Sandnes, Bourgoin and Santucci2023) and Hele-Shaw cells (Sandnes et al. Reference Sandnes, Flekkøy, Knudsen, Måløy and See2011) show the formation of a variety of patterns resulting from the balance between frictional and capillary forces. With this in mind, an avenue for future work is to extend the two-phase model presented here to incorporate an additional fluid that is non-wetting to the grains.
Funding
This work was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 Programme (grant no. 805469) and by the UK Engineering and Physical Sciences Research Council (EPSRC) (grant no. EP/S034587/1 and EP/X028771/1).
Declaration of interests
The authors report no conflict of interest.
Appendix A. Validation of regularisation
The model presented here contains regularisation of the shear stress on the bottom and top (when the gap is bridged) of the channel, as introduced in § 2.1.3. Figures 17(a) and 17(b) illustrates the convergence of the numerical solution of our model with the regularisation parameter
$\varepsilon$
. Figure 17(b) shows that as
$\varepsilon$
decreases, the difference in the predicted height profile becomes indistinguishable between the two lowest values of
$\varepsilon$
shown here, which are still at least an order of magnitude larger than the value that we use throughout this paper (
$\varepsilon = 10^{-3}$
).
Illustration of the convergence of numerical solutions with improved regularisation parameter for the wall friction,
$\varepsilon$
, showing (a) the solid velocity at the base, and (b) the height of the layer as
$\varepsilon$
is reduced in the direction of the arrows (light to dark blue:
$\varepsilon = 1, 0.5, 0.1, 0.01$
). (c) Convergence of the height of the layer with varying smoothing parameter
$n$
in the smoothing function
$\chi = h^n$
, for
$n = 10$
, 25, 50, 100, 200 and 400 (light to dark blue, arrow in the direction of increasing
$n$
). Simulations are performed for
$\mu _s = 0.32$
,
$\mu _2 = 0.7$
,
$\mu _w = 0.55$
,
$K = 10^{-5}$
,
$\theta = 10^{-5}$
.

We also use a regularisation method to describe the transition between bridged and unbridged grains, as discussed after (2.39). Specifically, we cap the potentially diverging shear stress coming from the upper fluid and we smooth out the jump between bridged and unbridged fluid using a smoothed indicator function
$\chi = h^n$
. We find that changing the value of the cap on the shear stress has no discernible impact on the results. For the smoothed indicator function, figure 17(c) shows results for different choices of the parameter
$n$
. At this scale, differences in
$h$
are negligible for
$n$
larger than
$100$
; we use
$n=200$
in all our simulations here.
Appendix B. Influence of side walls
Here, we consider the effect of the side walls of the tube, which are located at
$y = \pm W/2$
, by developing a heuristic model to account for some side-wall friction. We still consider the velocity in the
$y$
- and
$z$
-directions to be negligible, such that
$\boldsymbol{v}_s = u_s \boldsymbol{e}_x$
. As such, (2.12) becomes
recalling
$p_s = P_s + \Delta \rho\, g \phi _s^* (h-z)$
and
$p_{\!f} = P_{\!f} + \rho _{\!f} g (b-z)$
as before. Taking the horizontal (
$y$
-direction) average of (B1) and assuming that any variation in the vertical shear stress and the pressures in the
$y$
-direction is sufficiently weak that the averages can be approximated by their local values, we arrive at
Analogous to the friction imposed on the top and bottom plates as described in § 2, we impose a Columb friction condition on the side walls:
We regularise (B3) and (B4) analogous to the bottom and top plates via (2.36) and (2.37) such that
Integrating (B2) with respect to
$z$
gives the expression for the shear stress:
The effect of the side walls can be neglected if
$W$
is sufficiently large. Conversely, if
$W$
is very small, then we would expect the assumption that quantities depend only weakly on
$y$
, made before (B2), to break down. As before, (2.15) and (2.16) still apply, where
$\mu (I_v)$
rheology (or
$\mu (I)$
) is applied in the region where
$|\sigma _{xz}| \gt \mu _s p_s$
and
$\partial _z u_s = 0$
otherwise.
μ(I)
St≫1
μ(Iv)
b
h0
δ˙
h=b
h0
h=h0
h
Ps≡0
∂xpf=0
σxz′(z=h)=0
σxz′(z)
±μsps
ps=ϕs∗gΔρ(h−z)
μw=μw1<μs
μw=μw2>μs
|σxz′(z=0)|<μwps(0)
|σxz′|<μsps
h≡b
Ps>0
σxz′(z=h)<0
∂xpf=0
σxz′(z)
±μsps
ps=Ps+ϕs∗gΔρ(b−z)
μw=μw1<μs
μw=μw1>μs
h0=0.5
Fr=0.1
μw=0.85
0.25
0⩽t⩽2.25
dL/dt
L˙=1/(1−h0)
μw=0.55
0.85
Fr=0.01
hy1
hy2
∂zus=0
hy1
us>0
z=0
μw=0.55
Fr=0.01
μ(I)
z=0
μw=0.55
μw=0.85
μs=0.4
μw
hy1
hy2
z=1
z=0
ε=10−3
|∂xPs|
Fr=0.1
μw=0.55
μw=0.85
h
I=−∂xh
h0=0.5
μs=0.4
μw=0.3,0.4,…,0.7
λ
h0=0.5
μw=0.6
Fr
0.001
0.017
0.036
0.06
0.1
0.17
1
h
μs
μw
μ2
Fr=0.06
μs=0.4
μw=0.6
h0
h
μs
μw
μ2
μw=0.55
θ
hy1
hy2
∂zus=0
hy1
θ=3.6×10−4
μw=0.6
dh/dx
Ff
∂xP=σxz′(z=h)=0
h
h
θ
K
θ=θ∗
μw=0.5
∂xPf=σxz′(z=h)=0
μw=0.5
θ
0⩽t<4
X
h=h0
h=1
θ=10−4
θ=7.74×10−4
θ
λ
λ
θ=4.83×10−7
1.23×10−4
θ
K=5×10−6
μw=0.53
μs=0.48
I0=0.005
h0=0.25
θ=1.23×10−5
x~=−1,−0.5,…,1.5
ε
ε
ε=1,0.5,0.1,0.01
n
χ=hn
n=10
n
μs=0.32
μ2=0.7
μw=0.55
K=10−5
θ=10−5