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I'm very interested in your package for the simulation of the coupled transport processes in a flow battery cell. For this I'd like to use internal jump conditions: For simplicity let's consider a one-dimensional Laplace equation with Dirichlet conditions at the domain boundaries. What is the recommended way to enforce a jump in the function value (for some prescribed value) at some location x* in the domain, whereas the left and right limits of the derivative at x* are identical?
Looking through the examples it seems that this could be achieved using a DiscontinuousQuantity. However, currently it is unclear to me how to interpret the resulting discretization and achieve a prescribed jump in the solution.
Thanks for developing this very nice package.
The text was updated successfully, but these errors were encountered:
What is the physical background of the "internal jump condition" ? IMHO one could just enforce the jump by implementing some kind of penalty method and assemble y= (u_left - u_right-jump)/epsilon for small epsilon. Flux continuity should be fulfilled nevertheless. Need to check this though.
Thanks a lot for this comprehensive illustration of interface models. This notebook is very helpful to get a better understanding of the different interface conditions.
For my current model, I'm going to investigate the thin conductive interface layer approximation.
Hello Jürgen Fuhrmann,
I'm very interested in your package for the simulation of the coupled transport processes in a flow battery cell. For this I'd like to use internal jump conditions: For simplicity let's consider a one-dimensional Laplace equation with Dirichlet conditions at the domain boundaries. What is the recommended way to enforce a jump in the function value (for some prescribed value) at some location x* in the domain, whereas the left and right limits of the derivative at x* are identical?
Looking through the examples it seems that this could be achieved using a DiscontinuousQuantity. However, currently it is unclear to me how to interpret the resulting discretization and achieve a prescribed jump in the solution.
Thanks for developing this very nice package.
The text was updated successfully, but these errors were encountered: