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Bulldozing an immersed granular material in a confined channel

Published online by Cambridge University Press:  10 August 2026

Liam C. Morrow*
Affiliation:
Department of Engineering Science, University of Oxford , Oxford OX1 3PJ, UK Research School of Earth Sciences, The Australian National University, Acton ACT 0200, Australia
Oliver W. Paulin
Affiliation:
Department of Engineering Science, University of Oxford , Oxford OX1 3PJ, UK Max Planck Institute for Dynamics and Self-Organization, Göttingen 37077, Germany
Matthew G. Hennessy
Affiliation:
School of Engineering Mathematics and Technology, University of Bristol, Bristol BS8 1TW, UK
Duncan R. Hewitt
Affiliation:
Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge CB3 OWA, UK
Miles L. Morgan
Affiliation:
Department of Chemical Engineering, Swansea University, Swansea SA1 8EN, UK
Bjørnar Sandnes
Affiliation:
Department of Chemical Engineering, Swansea University, Swansea SA1 8EN, UK
Christopher W. MacMinn*
Affiliation:
Department of Engineering Science, University of Oxford , Oxford OX1 3PJ, UK
*
Corresponding authors: Liam C. Morrow, liam.morrow@eng.ox.ac.uk; Christopher W. MacMinn, christopher.macminn@eng.ox.ac.uk
Corresponding authors: Liam C. Morrow, liam.morrow@eng.ox.ac.uk; Christopher W. MacMinn, christopher.macminn@eng.ox.ac.uk

Abstract

Content of image described in text.

The motion of an immersed granular material in a channel is characterised by complex interactions among the grains, between the grains and the permeating liquid, and between the grains and the channel walls. Here, we develop a reduced-order continuum model for the bulldozing of an immersed, sedimented granular material by a piston in a channel. In our continuum approach, the granular layer and the overlying fluid layer evolve as a system of coupled thin films. We model the granular phase as a dense, porous, viscoplastic material that experiences Coulomb-like friction with the walls. Conservation of mass and momentum under a thin-film approximation lead to an elliptic equation for the velocity of the grains that is coupled with an evolution equation for the height of the granular layer. We solve our model numerically for a variety of different scenarios to explore the interactions between wall friction, internal viscous-like stresses, and fluid flow above and through the granular layer. We complement our numerical results with a series of experiments that provide insight into the validity and limitations of the model.

Information

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JFM Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Figure 1. A schematic of granular bulldozing in a confined, horizontal channel. (a) The system consists of two parallel plates separated by a gap b$b$. The gap is initially filled with a mixture of fluid and grains, with the grains forming a uniform, fluid-saturated layer of height h0$h_0$ on the bottom plate. (b) A piston moves from left to right with constant velocity δ˙$\dot {\delta }$, 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$h = b$, a wedge-shaped transition region where h0$h_0 \lt h \lt b$, and an undisturbed region where h=h0$h = h_0$ and the solid is stationary.

Figure 1

Figure 2. Examples of the different possible stress and velocity configurations in the unbridged state (h$h \lt b$ and Ps≡0$P_s\equiv {}0$), neglecting the fluid phase (∂xpf=0$\partial _x{p_{\!f}}=0$ and σxz′(z=h)=0$\sigma '_{xz}(z=h) = 0$). (a) Possible shear-stress profiles σxz′(z)$\sigma _{xz}'(z)$ (red and blue lines), which must be linear from (2.13), together with the effective yield stress of the granular layer ±μsps$\pm \mu _s p_s$, where ps=ϕs∗gΔρ(h−z)$p_s = \phi _s^* g\, \Delta \rho\, (h - z)$ (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, μw=μw1<μs$\mu _w = \mu _{w1} \lt \mu _s$ (blue), or greater, μw=μw2>μs$\mu _w = \mu _{w2} \gt \mu _s$ (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, |σxz′(z=0)|<μwps(0)$|\sigma _{xz}'(z=0)|\lt \mu _w p_s(0)$, 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, |σxz′|<μsps$|\sigma _{xz}'|\lt \mu _sp_s$, the granular layer behaves as a rigid plug, as in (b,c).

Figure 2

Figure 3. Examples of the different possible stress and velocity configurations in the bridged state (h≡b$h \equiv b$, Ps>0$P_s\gt 0$ and σxz′(z=h)<0$\sigma '_{xz}(z=h) \lt 0$), neglecting the fluid phase (∂xpf=0$\partial _x{p_{\!f}}=0$). (a) Possible shear-stress profiles σxz′(z)$\sigma _{xz}'(z)$ (red and blue lines), together with the effective yield stress of the granular layer ±μsps$\pm \mu _s p_s$, where ps=Ps+ϕs∗gΔρ(b−z)$p_s = P_s + \phi _s^* g\, \Delta \rho\, (b-z)$ (solid yellow); the shear stress lies below the yield stress in the shaded region. If μw=μw1<μs$\mu _w = \mu _{w1} \lt \mu _s$ (blue), then the granular layer does not yield anywhere and must move as a rigid plug, as in (b). If μw=μw1>μs$\mu _w = \mu _{w1} \gt \mu _s$ (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).

Figure 3

Figure 4. (a) Height profiles of the granular layer at various times from numerical solutions to (2.30)–(2.39) with h0=0.5$h_0 = 0.5$, Fr=0.1$\textit{Fr} = 0.1$ and μw=0.85$\mu _w = 0.85$. 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$0.25$ for 0⩽t⩽2.25$0\leqslant {}t\leqslant {}2.25$. (b) The translation speed of the transition region (i.e. the rate of change of the length of the bridged region, dL/dt$\mathrm{d}L/\mathrm{d}t$) in the steady travelling-wave limit from transient numerical simulations (red dots) and from conservation of solid volume, L˙=1/(1−h0)$\dot {L} = 1/(1 - h_0)$ (blue curve).

Figure 4

Figure 5. The velocity profile of the solid phase at steady state computed with (a) μw=0.55$\mu _w = 0.55$ and (b) 0.85$0.85$. The Froude number (top to bottom) is Fr=0.01$\textit{Fr} = 0.01$, 0.05 and 0.35. The dashed black lines denote the locations of hy1$h_{y1}$ and hy2$h_{y2}$ defined by (2.31), recalling that ∂zus=0$\partial _z u_s = 0$ for hy1$h_{y1} \lt z \lt h_{y2}$. 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. us>0$u_s \gt 0$ at z=0$z = 0$ and 1.

Figure 5

Figure 6. Figure 6 long description.Velocity of the grains on the (a) top and (b) bottom plates with μw=0.55$\mu _w = 0.55$ and (light to dark blue) Fr=0.01$\textit{Fr} = 0.01$, 0.04, 0.06, 0.1 and 0.15. (c) The friction factor μ(I)$\mu (I)$ evaluated at z=0$z = 0$ for μw=0.55$\mu _w = 0.55$ (solid) and μw=0.85$\mu_w=0.85$ (dashed). The dashed black lines denote μs=0.4$\mu _s = 0.4$, and the two values of μw$\mu _w$ being considered.

Figure 6

Figure 7. (a) The location of the yield layers hy1$h_{y1}$ (dashed curve) and hy2$h_{y2}$ (solid curve) determined by (2.31). (b) The hyperbolic tangent of the solid velocity at z=1$z = 1$ (solid curve) and z=0$z = 0$ (dashed line), which are used to compute the regularised shear stress according to (2.36) and (2.37), recalling that ε=10−3$\varepsilon = 10^{-3}$. (c) Natural log of |∂xPs|$|\partial _x P_s|$ computed from (2.38). Solutions are computed with Fr=0.1$\textit{Fr} = 0.1$ and μw=0.55$\mu _w = 0.55$ (blue) and μw=0.85$\mu_w=0.85$ (red).

Figure 7

Figure 8. (a) The maximum magnitude of the slope of h$h$, recalling that I=−∂xh$I = -\partial _x h$, computed with h0=0.5$h_0 = 0.5$, μs=0.4$\mu _s = 0.4$ and μw=0.3,0.4,…,0.7$\mu _w = 0.3, 0.4, \ldots, 0.7$. (b) The corresponding length λ$\lambda$ of the transition region.

Figure 8

Figure 9. (a) The height of the granular pile for h0=0.5$h_0 = 0.5$, μw=0.6$\mu _w = 0.6$ and Fr$\textit{Fr}$ = {0.001$0.001$, 0.017$0.017$, 0.036$0.036$, 0.06$0.06$, 0.1$0.1$, 0.17$0.17$, 1$1$}. (b) Corresponding magnitude of the slope of h$h$. Dotted black lines denote values of μs$\mu _s$, μw$\mu _w$ and μ2$\mu _2$.

Figure 9

Figure 10. (a) The height of the granular pile for Fr=0.06$\textit{Fr} = 0.06$, μs=0.4$\mu _s = 0.4$, μw=0.6$\mu _w = 0.6$ and h0$h_0$ = {0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7}. (b) Corresponding magnitude of the slope of h$h$. Dotted black lines denote the values of μs$\mu _s$, μw$\mu _w$ and μ2$\mu _2$.

Figure 10

Figure 11. The horizontal velocity profile of the solid phase at steady state computed with μw=0.55$\mu _w = 0.55$ for different values of θ$\theta$. The dashed black lines denote the locations of hy1$h_{y1}$ and hy2$h_{y2}$, as defined by (2.31), recalling that ∂zus=0$\partial _z u_s = 0$ for hy1$h_{y1} \lt z \lt h_{y2}$.

Figure 11

Figure 12. (a) The height of the granular pile computed with θ=3.6×10−4$\theta = 3.6 \times 10^{-4}$ and μw=0.6$\mu _w = 0.6$. (b,c) The corresponding magnitude of dh/dx$\textrm {d}h/\textrm {d}x$ and fluid force, respectively, the latter from (4.1). The dashed line denotes the case where Ff$F_{\!f}$ is ignored by setting ∂xP=σxz′(z=h)=0$\partial _x P = \sigma '_{xz}(z = h) = 0$. Note that this is distinct from the dry rheology because viscosity is still important for the internal rearrangement of the grains.

Figure 12

Figure 13. (a) The length of the transition zone. (b) The maximum magnitude of the slope of h$h$. (c) The maximum of the fluid force from (4.1). (d) The maximum value of h$h$ over the duration of a simulation. The dots at which the various lines terminate denote the largest value of θ$\theta$ at which the numerical solution converged to a steady travelling wave. The inset in (a) indicates the impact of permeability K$K$ on the value θ=θ∗$\theta = \theta ^*$ at which there ceases to be a steady travelling wave for μw=0.5$\mu _w = 0.5$. The dashed lines denote the case where the fluid phase is ignored by solving (2.30)–(2.39) with ∂xPf=σxz′(z=h)=0$\partial _x P_{\!f} = \sigma _{xz}'(z = h) = 0$.

Figure 13

Figure 14. Figure 14 long description.(a–c) Evolution of the thickness of the granular layer from the viscous model with μw=0.5$\mu _w =0.5$ for increasing θ$\theta$ (top to bottom) at equally spaced times in 0⩽t<4$0\leqslant {}t\lt 4$. (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$X$ where h=h0$h = h_0$ (solid lines) and where h=1$h = 1$ (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 θ=10−4$\theta =10^{-4}$ (teal) and to different speeds for θ=7.74×10−4$\theta =7.74\times {}10^{-4}$ (light purple). The transition region has no trailing edge for the largest value of θ$\theta$, which never develops a bridged region (dark purple). (e) Time evolution of the length λ$\lambda$ 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 λ$\lambda$ is not defined.

Figure 14

Figure 15. (a,b) Experimental snapshots of the travelling-wave state for (a) θ=4.83×10−7$\theta = 4.83 \times 10^{-7}$ (slow pushing) and (b) 1.23×10−4$1.23 \times 10^{-4}$ (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 θ$\theta$ 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=5×10−6$K = 5 \times 10^{-6}$, μw=0.53$\mu _w = 0.53$, μs=0.48$\mu _s = 0.48$, I0=0.005$I_0 = 0.005$ and h0=0.25$h_0 = 0.25$.

Figure 15

Figure 16. Slices of the non-dimensional solid velocity profile in the lab frame with θ=1.23×10−5$\theta = 1.23 \times 10^{-5}$ from the model (blue) and experiments (red dots) taken at (left to right) x~=−1,−0.5,…,1.5$\tilde {x} = -1,-0.5,\ldots,1.5$. The dotted and solid lines denote profiles determined from the model with and without the effects of the side walls, respectively.

Figure 16

Figure 17. Illustration of the convergence of numerical solutions with improved regularisation parameter for the wall friction, ε$\varepsilon$, showing (a) the solid velocity at the base, and (b) the height of the layer as ε$\varepsilon$ is reduced in the direction of the arrows (light to dark blue: ε=1,0.5,0.1,0.01$\varepsilon = 1, 0.5, 0.1, 0.01$). (c) Convergence of the height of the layer with varying smoothing parameter n$n$ in the smoothing function χ=hn$\chi = h^n$, for n=10$n = 10$, 25, 50, 100, 200 and 400 (light to dark blue, arrow in the direction of increasing n$n$). Simulations are performed for μs=0.32$\mu _s = 0.32$, μ2=0.7$\mu _2 = 0.7$, μw=0.55$\mu _w = 0.55$, K=10−5$K = 10^{-5}$, θ=10−5$\theta = 10^{-5}$.