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Implicit Filtering concept in LES

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Old   August 21, 2018, 14:24
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I have one question regarding \hat{\Delta}. Early it was established that \hat{\Delta} x = 4 \Delta x. So to calculate \hat{\Delta} (like in the Dynamic Smagorinsky) we have \hat{\Delta} = \left(\hat{\Delta } x \hat{\Delta} y \hat{\Delta} z\right)^{1/3} = \left(4\Delta x \cdot 4 \Delta y \cdot 4 \Delta z\right)^{1/3}. The specific term I am interested in is

M_{ij} = \hat{\Delta}^{2} |\hat{S}| \hat{S}_{ij} + \Delta^{2} \hat{|S| S_{ij}}
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Old   August 21, 2018, 15:42
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Quote:
Originally Posted by selig5576 View Post
I have one question regarding \hat{\Delta}. Early it was established that \hat{\Delta} x = 4 \Delta x. So to calculate \hat{\Delta} (like in the Dynamic Smagorinsky) we have \hat{\Delta} = \left(\hat{\Delta } x \hat{\Delta} y \hat{\Delta} z\right)^{1/3} = \left(4\Delta x \cdot 4 \Delta y \cdot 4 \Delta z\right)^{1/3}. The specific term I am interested in is

M_{ij} = \hat{\Delta}^{2} |\hat{S}| \hat{S}_{ij} + \Delta^{2} \hat{|S| S_{ij}}





That depends on your choice, if you perform the test filtering over a 2D plane, the test filter width is computed accordingly, by taking into account the two grid steps
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Old   August 21, 2018, 15:51
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I am performing a 3D filtering procedure, i.e. I am computing a 3D integral. to obtain \hat{f}. I am defining new filter such that the width \hat{\Delta} is equal to twice the grid filter width of \Delta.
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Old   August 21, 2018, 15:59
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Delta_tilde=2*Delta = 2* (8*dx*dy*dz)^1/3


that is quite correct for a Delta value evaluated for a second order central discretization.
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Old   January 19, 2021, 04:26
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