Twenty years later, and still a fascinating topic!

It has been 20 years since I wrote my dissertation on the stability and evolution of gravity-driven flow in porous media. On Monday, 15th of November 2004, I successfully defended my research, and I was awarded a doctor of philosophy qualification.

Members of the committee: Majid Hassanizadeh (UU), Pieter Raats (WUR), Hans van Duijn (TU/e, promotor), Bob Mattheij (TU/e), Dick van Campen (TU/e, chair), Gertjan van Heijst (TU/e), Piet Wesseling (TUD), Mark Peletier (TU/e), Arjen Doelman (UvA/UL, promotor). Paranymphs: Fred Vermolen and Radj Baldewsing.

For almost 4 years, I was looking at the following set of equations: \begin{align*}(M) \begin{cases} \displaystyle \phi\frac{\partial(\rho\Theta)}{\partial t} + \nabla \cdot (\rho\mathbf{q}) = 0\;, \\ \\ \displaystyle \phi\frac{\partial(\rho\omega)}{\partial t} + \nabla \cdot (\rho\omega\mathbf{q} + \mathbf{J}_{\omega}) = 0\;, \\ \\ \displaystyle \mathbf{J}_{\omega} = -\rho\mathbb{D}_{\omega}\nabla\omega\;, \\ \\
\displaystyle \mathbf{q} = -\frac{\kappa}{\mu}(\nabla p – \rho g \mathbf{e}_z)\;. \end{cases} \end{align*} They represent conservation of fluid mass $\rho$ in a partially saturated ($\Theta$) porous medium having porosity $\phi$, salt mass $\rho\omega$, dispersive mass flux vector $\mathbf{J}_{\omega}$ (Fick’s law), and conservation of momentum $\mathbf{q}$ (Darcy’s law) where $p$ is the pressure and $\rho g$ the action of gravity. To close this system, one also has to use the (empirical) equation of state, relating $\rho$ and $\omega$. The model is nonlinear due to the $\rho\mathbf{q}$ term.

Particle tracking in a rectangle geometry partially filled with particles (e.g., dissolved chemicals), for a specific model state and a time-periodic boundary condition at the top. The state of the model is such that the trivial solution (which is time-periodic) is unstable (in linearized sense). However, the time-periodic boundary condition induces, at the same time, a perturbation at the top which triggers natural convection. This simulation does not take diffusion into account. It is an example of convective mixing, simulated via the finite element method.

Under a variety of parameters (model states), geometries, initial conditions, and boundary conditions, I did a study on the stability of its equilibrium solutions (expressed in the unknowns $\rho, p, \mathbf{q}$). Even years after this initial research, three more papers appeared: one in 2008 (using Chebyshev Petrov-Galerkin with pseudo-arclength continuation to detect bifurcation points), one in 2019 (using Chebyshev Petrov-Galerkin), and one in 2022 (using Laguerre Petrov-Galerkin). And some time ago I started with a fourth one which uses Hermite Petrov-Galerkin to approximate solutions of $(M)$.

For a specific model state, the solution (given initial and boundary conditions) shows oscillatory behavior. Bifurcation points are model states at which an equilibrium solution changes stability (in linearized sense). The trivial equilibrium solution becomes unstable in favor of another equilibrium solution (subcritical bifurcation). This new equilibrium solution is stable until the next bifurcation point, in this case the Hopf bifurcation. In this state, the conjugate eigenvalues of the linearized system expand in the imaginary domain. Simulated with a reduced model, using a Chebyshev Petrov-Galerkin method and Runge–Kutta for time-integration.

Comments

Leave a Reply

Your email address will not be published. Required fields are marked *