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A two-phase two-layer model for fluidized granular flows with dilatancy effects

Published online by Cambridge University Press:  19 July 2016

François Bouchut*
Affiliation:
Université Paris-Est, Laboratoire d’Analyse et de Mathématiques Appliquées (UMR 8050) CNRS, UPEM, UPEC, F-77454, Marne-la-Vallée, France
Enrique D. Fernández-Nieto
Affiliation:
Departamento de Matemática Aplicada I, Universidad de Sevilla. E.T.S. Arquitectura. Avda, Reina Mercedes, s/n. 41012 Sevilla, Spain
Anne Mangeney
Affiliation:
Université Paris Diderot, Sorbone Paris Cité, Institut de Physique du Globe de Paris, Equipe de Sismologie, 1 rue Jussieu, 75005 Paris, FranceANGE team, INRIA, CETMEF, Lab. J.-Louis Lions, Paris, France
Gladys Narbona-Reina
Affiliation:
Departamento de Matemática Aplicada I, Universidad de Sevilla. E.T.S. Arquitectura. Avda, Reina Mercedes, s/n. 41012 Sevilla, Spain
*
†Email address for correspondence: francois.bouchut@u-pem.fr

Abstract

We propose a two-phase two-thin-layer model for fluidized debris flows that takes into account dilatancy effects, based on the closure relation proposed by Roux & Radjai (Physics of Dry Granular Media, 1998, Springer, pp. 229–236). This relation implies that the occurrence of dilation or contraction of the granular material depends on whether the solid volume fraction is respectively higher or lower than a critical value. When dilation occurs, the fluid is sucked into the granular material, the pore pressure decreases and the friction force on the granular phase increases. On the contrary, in the case of contraction, the fluid is expelled from the mixture, the pore pressure increases and the friction force diminishes. To account for this transfer of fluid into and out of the mixture, a two-layer model is proposed with a fluid layer on top of the two-phase mixture layer. Mass and momentum conservation are satisfied for the two phases, and mass and momentum are transferred between the two layers. A thin-layer approximation is used to derive average equations, with accurate asymptotic expansions. Special attention is paid to the drag friction terms that are responsible for the transfer of momentum between the two phases and for the appearance of an excess pore pressure with respect to the hydrostatic pressure. For an appropriate form of dilatancy law we obtain a depth-averaged model with a dissipative energy balance in accordance with the corresponding three-dimensional initial system.

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© 2016 Cambridge University Press 
Figure 0

Figure 1.Domain and geometrical parameters. The solid–fluid mixture lies between a fixed bottom and an upper pure fluid layer. The width $h_{m}$ of the mixture layer and the width $h_{f}$ of the pure fluid layer evolve with time.

Figure 1

Table 1.Relevance of the formula (I) or (II) for the values of $(p_{f_{m}}^{e})_{|b}$ and $\overline{p_{f_{m}}^{e}}$.

Figure 2

Figure 2.Immersed configuration. The pure fluid layer is not thin; it has a horizontal free surface.

Figure 3

Figure 3.The high-viscosity case: simulated (a) solid velocity $\overline{v^{\boldsymbol{x}}}$, (b) solid pressure ${p_{s}}_{|b}$, (c) volume fraction $\bar{{\it\varphi}}$ and (d) $h_{m}\bar{{\it\varphi}}$. The horizontal dotted and dash-dotted lines represent the limit steady states. The relative velocity $\overline{v^{\boldsymbol{x}}}-\overline{u^{\boldsymbol{x}}}$ is plotted in the inset of (a) (also in $\text{mm}~\text{s}^{-1}$).

Figure 4

Figure 4.The high-viscosity case: simulated (a,b) volume fraction $\bar{{\it\varphi}}$ and critical volume fraction $\bar{{\it\varphi}}_{c}^{eq}$ given by (5.8); (b) represents a zoom of figure 4(a) at the very beginning of the simulation, $t\in [0,0.001~\text{s}]$; (c) mixture thickness $h_{m}$ and (d) mass transfer $\mathscr{V}_{f}$.

Figure 5

Figure 5.The low-viscosity case: simulated (a) solid velocity $\overline{v^{\boldsymbol{x}}}$, (b) solid pressure ${p_{s}}_{|b}$, (c) volume fraction $\bar{{\it\varphi}}$ and (d) $h_{m}\bar{{\it\varphi}}$. The horizontal dotted and dash-dotted lines represent the limit steady states. The relative velocity $\overline{v^{\boldsymbol{x}}}-\overline{u^{\boldsymbol{x}}}$ is plotted in the inset of (a) (also in $\text{mm}~\text{s}^{-1}$).

Figure 6

Table 2.Orders of magnitude of the characteristic times defined by (5.16), (5.17) for low- or high-viscosity data sets. The values of $t_{crit}$ vary because they are inversely proportional to $\overline{v^{\boldsymbol{x}}}$, which vanishes initially and tends to $\overline{v^{\boldsymbol{x}}}^{\infty }$ for large time.

Figure 7

Figure 6.The low-viscosity case: simulated (a,b) volume fraction $\bar{{\it\varphi}}$ and critical volume fraction $\bar{{\it\varphi}}_{c}^{eq}$ given by (5.8); (a) and (b) represent a zoom of figure 5(c) during the first 30 s and at the very beginning of the simulation, $t\in [0,0.006~\text{s}]$, respectively; (c) mixture thickness $h_{m}$; (d) mass transfer $\mathscr{V}_{f}$.

Figure 8

Figure 7.The high-viscosity case and small times: simulated (a,c) solid velocity $\overline{v^{\boldsymbol{x}}}$ and (b,d) solid pressure ${p_{s}}_{|b}$, with ${\it\alpha}=5\times 10^{-5}~\text{Pa}^{-1}$ for (a,b) and ${\it\alpha}=5\times 10^{-10}~\text{Pa}^{-1}$ for (c,d). The results are shown for the proposed model (dashed lines), the Pailha–Pouliquen model (circles) and the Iverson–George type model (diamonds).

Figure 9

Figure 8.The high-viscosity case: solid velocity $\overline{v^{\boldsymbol{x}}}$ and basal excess pore pressure $(p_{f_{m}}^{e})_{|b}$, for times $t\in [10^{-3}~\text{s},500~\text{s}]$, for the proposed model, the Pailha–Pouliquen model (with $K_{4}=3/2$ and $K_{4}=1.8$), the Iverson–George type model and the experimental data.

Figure 10

Figure 9.The low-viscosity case: solid velocity $\overline{v^{\boldsymbol{x}}}$ and basal excess pore pressure $(p_{f_{m}}^{e})_{|b}$, for times $t\in [10^{-2}~\text{s},45~\text{s}]$, for the proposed model, the Pailha–Pouliquen model (with $K_{4}=3/2$ and $K_{4}=1.8$), the Iverson–George type model and the experimental data.