CMS-Flow:Subgrid Turbulence Model: Difference between revisions

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where  <math>\nu_{t0}</math> is a base value approximately equal to the dynamic viscosity, and <math>c_0</math>  is an empirical coefficient and  <math>l_h</math> is the subgrid mixing length. The mixing length is calculated here as   
where  <math>\nu_{t0}</math> is a base value approximately equal to the dynamic viscosity, and <math>c_0</math>  is an empirical coefficient and  <math>l_h</math> is the subgrid mixing length. The mixing length is calculated here as   


       <math>l_h = \kappa min{ \sqrt{\Delta x \Delta y}, c_{sm} h} </math>  
       <math>l_h = \kappa min( \sqrt{\Delta x \Delta y}, c_{sm} h_ </math>  


where <math>c_{sm}</math>  is an empirical coefficient (Smagorinsky coefficient).
where <math>c_{sm}</math>  is an empirical coefficient (Smagorinsky coefficient).

Revision as of 13:03, 26 October 2009

Subgrid Turbulence Model

In CMS-Flow eddy viscosity is calculated as where is weighting factor equal to in which is the significant wave height and and are the current- and wave-related eddy viscosity components respectively. The wave contribution is included using the equation of Kraus and Larson (1991) , where is an empirical coefficient (default is 0.5), and is the wave bottom orbital velocity. The current-related eddy viscosity is calculated as a function of the flow gradients, and the bottom shear stress

     

where is a base value approximately equal to the dynamic viscosity, and is an empirical coefficient and is the subgrid mixing length. The mixing length is calculated here as

     Failed to parse (syntax error): {\displaystyle l_h = \kappa min( \sqrt{\Delta x \Delta y}, c_{sm} h_ }
 

where is an empirical coefficient (Smagorinsky coefficient).


References

LARSON, M.; HANSON, H., and KRAUS, N. C., 2003. Numerical modeling of beach topography change. Advances in Coastal Modeling, V.C. Lakhan (eds.), Elsevier Oceanography Series, 67, Amsterdam, The Netherlands, 337-365.


CMS-Flow