manus_continuum_granular1

manuscript files for first continuum-till paper
git clone git://src.adamsgaard.dk/manus_continuum_granular1
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commit ca0f8b4895f832ea82a675f340ba72be6889a4e2
parent af4236d06fe96489729f665e9e70c8568027130a
Author: Anders Damsgaard <anders@adamsgaard.dk>
Date:   Mon, 24 Jun 2019 11:40:28 +0200

Clean up methods text

Diffstat:
Mcontinuum-granular-manuscript1.tex | 27++++++++++-----------------
1 file changed, 10 insertions(+), 17 deletions(-)

diff --git a/continuum-granular-manuscript1.tex b/continuum-granular-manuscript1.tex @@ -59,7 +59,7 @@ We generalize these previous models to a water-saturated granular flow, by compa \subsection{Granular flow}% \label{sub:granular_flow} In our model, the sediment deforms as a highly nonlinear Bingham material with yield beyond the Mohr-Coulomb failure limit for a cohesionless material. -We expand a steady-state continuum model for granular flow by \citet{Henann2013} with a coupling to pore water, including transient dynamics during shear zone formation and vanishment. +We expand a steady-state continuum model for granular flow by \citet{Henann2013} with a coupling to pore water. We assume that the elasticity is negligible and set the total shear rate $\dot{\gamma}$ to consist of a plastic contribution $\dot{\gamma}^\text{p}$: \begin{equation} \dot{\gamma} \approx \dot{\gamma}^\text{p} = g(\mu_\text{c}, \sigma_\text{n}') \mu, @@ -88,38 +88,33 @@ where \end{equation} -Unlike \citet{Pailha2009} we do not implicitly prescribe the viscous drag during dilation and equation, as we instead solve for the fluid pressure which is described in the following section. +Unlike \citet{Pailha2009} we do not implicitly prescribe the viscous drag during dilation and equation, and instead solve for the fluid pressure. \subsection{Fluid-pressure evolution}% \label{sub:fluid_pressure_evolution} - -The transient evolution of pore-fluid pressure ($p_\text{f}$) is governed by Darcian pressure diffusion and local forcing by volumetric changes to the pore volume \citep{Goren2010, Goren2011, Damsgaard2017}: +The transient evolution of pore-fluid pressure ($p_\text{f}$) is governed by Darcian pressure diffusion \citep[e.g.]{Goren2010, Goren2011, Damsgaard2017}: \begin{equation} \frac{\partial p_\text{f}}{\partial t} = \frac{1}{\phi\mu_\text{f}\beta_\text{f}} \nabla \cdot (k \nabla p_\text{f}) \label{eq:p_f} \end{equation} where $\mu_\text{f}$ denotes dynamic fluid viscosity [Pa s], $\beta_\text{f}$ is adiabatic fluid compressibility [Pa$^{-1}$], and $k$ is intrinsic permeability [m$^2$]. The sediment is assumed to be in the critical state throughout the domain, as in the original formulation by \citet{Henann2013}. -For that reason there is no need to correct for porosity advection as in \citet{Damsgaard2015}. -However, we include transient dynamics due to the interplay of sediment and water during shear zone formation and vanishment, as these deviations in water pressure can contribute hardening and weakening, respectively \citep[e.g.][]{Iverson1998, Moore2002, Pailha2008, Damsgaard2015, Damsgaard2016}. \subsection{Numerical solution procedure}% \label{sub:numerical_solution_procedure} - -In sum of the above, the material parameters consist of nonlocal amplitude $A$ [-], representative grain diameter $d$ [m], static yield coefficient $\mu_\text{s}$ [-], and the rate dependence beyond yield $b$ [-]. -Hydraulic properties are given by the intrinsic permeability prefactor $k$ [??], the fluid viscosity $\mu_\text{f}$, and the adiabatic fluid compressibility $\beta_\text{f}$. -During deformation, the porosity evolves towards the critical-state value ($\phi_\text{c}$). +The material parameters consist of nonlocal amplitude $A$ [-], representative grain diameter $d$ [m], static yield coefficient $\mu_\text{s}$ [-], and the rate dependence beyond yield $b$ [-]. +Hydraulic properties are given by the permeability $k$ [m$^2$], the fluid viscosity $\mu_\text{f}$ [Pa s], and the adiabatic fluid compressibility $\beta_\text{f}$ [Pa$^{-1}$]. These parameters do not change over the course of a simulation, and are kept constant everywhere in the domain where the material is of identical origin. -While the above formulation is applicable to any spatial dimensionality, we apply it in a 1D framework in the following study. -Shear deformation is restricted to occur in horizontal (x) shear zones with dilative and contractive movements along the vertical axis ($z$). +The above formulation is applicable to any spatial dimensionality, for the purposes of this study we apply it in a 1D spatial reference system. +Shear deformation is restricted to occur in horizontal (x) shear zones. The axis $z$ is pointed upwards with a domain length of $L_z$. -We assign spatial depth coordinates $z_i$ and fluidity $g_i$ to a regular grid with ghost nodes and cell spacing $\Delta z$. -The normal stress is assumed to increase with depth due to lithostatic pressure from the overburden ($\sigma_\text{n}(z) = \int^{z'=L_z}_{z'=z} \rho_\text{s} \phi G dz' + \sigma_\text{n}$), where G is the magnitude of gravitational acceleration and $\sigma_\text{n}$ is the normal stress applied on the top of the domain. +We assign depth coordinates $z_i$ and fluidity $g_i$ to a regular grid with ghost nodes and cell spacing $\Delta z$. +The normal stress is assumed to increase with depth due to lithostatic pressure from the overburden ($\sigma_\text{n}(z) = \int^{z'=L_z}_{z'=z} \rho_\text{s} \phi G dz' + \sigma_\text{n,t}$), where G is the magnitude of gravitational acceleration and $\sigma_\text{n,t}$ is the normal stress applied on the top of the domain. The fluidity field $g$ is solved for a set of mechanical forcings ($\mu$, $\sigma_\text{n}'$, boundary conditions for $g$), and material parameters ($A$, $b$, $d$). We rearrange Eq.~\ref{eq:g} and split the Laplace operator ($\nabla^2$) into a 1D central finite difference 3-point stencil. -We then apply an iterative scheme to relax the following equation at each grid node $i$: +An iterative scheme is applied to relax the following equation at each grid node $i$: \begin{equation} g_i = {\left(1 + \alpha_i\right)}^{-1} \left(\alpha_i g_\text{local}(\sigma_{\text{n},i}', \mu_i) @@ -142,5 +137,3 @@ where \printbibliography{} \end{document} - -% vim: tw=1000