Kevin -
You are correct that there's no way to project a FaceVariable back to a
CellVariable. Since this is only for the initial condition, I would just
explicitly set it, e.g.,
phi.value = (1 + x) / (gamma * psi.grad[0])
As for the boundary condition, I think FiPy's default no-flux boundary
condition will give you this naturally. Constraining the divergence of the
gradient will not ever be seen by the solver.
- Jon
> On Feb 5, 2018, at 4:13 PM, Kevin Blondino <kablond...@gmail.com> wrote:
>
> Hi,
>
> I have two questions.
>
> I have a complicated set of 1D equations. The diffusion coefficient of the
> 1st is dependent on the derivative of the 2nd's variable, and the 2nd has a
> source term of the first. In addition, the initial condition of one of the
> variables is dependent on this diffusion coefficient. This is what I mean, in
> TeX:
>
> \alpha \frac{\partial \phi}{\partial t} = \frac{\partial}{\partial x}
> \left(D \frac{\partial \phi}{\partial x}\right) \\
> \beta \frac{\partial \psi}{\partial t} = m \frac{\partial^2
> \psi}{\partial x^2} + \delta\phi \\
> D = \gamma \left(\frac{\partial \psi}{\partial x}\right)^{-1} \\
> \phi_0 = \frac{1 + x}{D}
>
> alpha, beta, gamma, delta, and m are constants, and phi and psi are the Cell
> Variables. How can properly write and implement the diffusion coefficient D?
>
> So far, I've been trying to implement it by declaring D as a CellVariable,
> but as it's a diffusion function, it would seem natural to have it as a
> FaceVariable. The problem arises when I try to use it for the initial
> condition, as I cannot make phi_0 a function of D as a face variable.
>
>
> In addition, one of the boundary conditions is this (at x=0):
>
> \frac{\partial \psi^2}{\partial x^2} = 0
>
> I've been implementing it as the following, but I am not sure if it works
> properly:
>
> psi.faceGrad.divergence.constrain(0.0, mesh.facesLeft)
>
> Thank you
>
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