RANS Modeling- Estimating K and Epsilon
I'm working on a summer internshp program and need to estimate k and epsilon from two sources of data.
The first source is a hotwire which has been placed in a channel.
The second is a pipe in which I know the velocity throughout.
I've estimated the first by using the Bousinesq hypothesis to relate the turbulent dissipation energy to the turbulent kinetic energy. The relationships are
k=1/2(u'^2+v'^2'w'^2), estimating w' to be the average of u' and v'.
For the second, I used empirical relationships from the following site;
This got me k and epsilon values at the inlet of the pipe flow.
If anyone more familiar with CFD theory could have a look at my derivation/results for k and epsilon, it would be incredibly helpful. I'm afraid my solutions aren't converging with reasonable results for k and epsilon. k tends to drop to machine zero, which obviously isn't valid.
Attached is a link to the spreadsheet where I worked with the data
Any help would be appreciated,
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