A parameter with a fundamental importance is the length scale. Untill now we investigate the influences of several parameters on the results, but, in all our cases, we used a fixedconstantspacial independent lengthscale .This is, obviously, a non phisical approximation. In fact is strongly anisotropic and spacedependent. This week then I modified the SEM script see the behaviour of the model with different kind of sigma degree of freedom and I checked the results.
Sigma is not constant all over our domain. It varies continuously (mainly it decreases as we approach the wall). I improved then this dependence.
I improved in this model also the possibility to set a user velocity profile as initial condition.
The simulation I ran has the followings features:
The first plot is the modified Uvelocity profile after the application of the SEM method. The velocity profile is modified with the synthetic turbulence created by the SEM method.
Another interesting plot is the instantaneus VW velocity component in the grid.

Again, in this simulation, all the averaged variable have the same behaviour as the one with constant . The only different behaviour is the , justifiable because of the space variance of that does not allow to achieve a full convergence.

These first two graphs show the different length scale between the U and the W component. The simulation ran ( ) has a different length scale over the three components.Basicly the implemented model is the following:
The implemented lengthscale is then a tensor in the spacevelocity plane. With this we have "deformed" eddies that allow us to have a general behaviour closer to the phisical one.Again the VW components in the YZ plane is plotted.
The main difference between this case and the "standard" (= sigma consant) case, is in the fourth order averaged speed. In fact as this order depends on the ratio that is no more constant over all the grid, then every velocity component converges towards a different value, as the following graph shows.

Some features for sigma have now been implemented. Two more tasks have now to be done:
Both these task are very important to reach a solution as close as possible to the LES one and that does not require many backstream points to reach its developed value.
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