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I was wondering if anyone has tried modelling the diffusion of gaseous oxygen through an unsaturated clay layer. I am investigating a clay cap that was installed over mine tailings to prevent water infiltration and leaching.
Chapter 11 of Vol. 1 of the white papers is relevant, but that is a discussion of gas flow, not diffusion. The obvious difference it that diffusion is driven by a concentration gradient and flow is driven by a pressure gradient, so I am not sure that it really applies.
Any thoughts? Has anyone tried this? Is it possible in FEFLOW?
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Pete and Panos:
Those were both really helpful posts. Thanks!
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Thanks Pete, that was really helpful. I have been running a big unsaturated model and have found that convergence can be a challenge using the autostepper with no maximum limit. When I limit the step to 0.01 days, the model takes a day to run, but I get convergence. So what you are saying fits with what I see.
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Anyone have an opinion about the best way to overcome convergence problems? What do you find to be most effective - refining the mesh, or reducing the time-steps (or something else)?
Is there any method for trying to resolve convergence issues that is more efficient than simply experimenting?
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If anyone else is facing the same sort of problem, have a look in the FEFLOW reference manual, chapter 22. It is not exactly the same issue, but it helped me in understanding what I needed to do to create a modelled void.
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Hi Pete:
Thanks for both replies. The discrete features won't work because the scale I am working with is small - an experimental cube of soil 5m on a side with a void that is about 1 m in diameter, so the 1D and 2D discrete features will not accurately reproduce what is happening. I tried using a large K-value for the void, but the model showed the void as a preferential flow pathway with a higher water content than the surrounding soil. In reality, the void was just that -empty, with no water in it.
I have thought about ganging up a series of 2D discrete features along adjacent nodes to "build" a 3D feature, but have not tried it yet.
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How would you go about modelling a void in the vadose zone? The discrete feature elements don't seem appropriate because they are 1-D or 2-D. I am modelling karst-like voids, which are 3-D.
I have experimented with setting the unsaturated porosity to 1 at all nodes within the void and with setting a hydraulic head BC of 0 (atmospheric) at all nodes adjacent to the void, but I am not happy with the result.
Any thoughts?
Thanks!
Jeff
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Has anyone tried to regionalize a FEFLOW model (i.e. akima, kriging) in three dimensions? I would like to hear your experiences and advice. Is there any third-party software that could help?
We are working with a complex, non-layered environment.
Thanks!
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Thanks for the reply, Peter. In your opinion, is there any way to give a generalization of which attributes have the biggest impact on modelling speeds - clock rate, FSB speed, CPU cache, something else? What hardware do you use and how often do you update?
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Any thoughts on how different processors (specifically the Intel i5 vs i7) will affect modelling in FEFLOW? I am in the market for new hardware and am not sure how to evaluate which processors are most cost effective. Same for RAM.
I am most interested in cost effectiveness. If the top end processor give 1% improvement in performance compared to the second tier processor, I am not that interested in paying for it.
Thanks!