2324 Phys. Fluids, Vol. 15, No. 8, August 2003 Sheikhi et al.d tD X ,U , ;tdtB j X ,U , ;tdW j tF X j X ,U , ;tdW X j tF U j X ,U , ;tdW U j t, 17cwhere X i , U i , are probabilistic representations <strong>of</strong> position,velocity vector, and <strong>scalar</strong> variables, respectively. TheD terms denote drift in the composition space, the B termsdenote diffusion, the F terms denote diffusion couplings, andthe W terms denote the Wiener–Lévy processes. 29,30 FollowingHaworth and Pope, 31 Dreeben and Pope, 32 Colucciet al., 7 and Gicquel et al. 16 we consider the generalizedLangevin model GLM and the linear mean square estimationLMSE model 26dX i U i dt 1 dW X i ,dU i p 2 u i x 2 Gi x k x ij U j u j dtk18a 3u i x kdW k X C 0 dW i U , 18bd 2 S1 Cx k x S dtk S2 x kdW k X , 18cwhere the variables 1 , 2 ,... are all diffusion coefficientsto be specified, andG ij 1 2 3 4 C 0 ij , k , 19C k 3/2 L, k 1 2 u k ,u k .Here is the SGS mixing frequency, is the SGS dissipationrate, k is the SGS kinetic energy, and L is the LES filtersize. The parameters C 0 , C , and C are model constantsand need to be specified. The limit 1 3 S1 S2 0isthe standard high Reynolds number GLM–LMSE closure. 20The Fokker–Planck equation 33 <strong>for</strong> f (v,,x;t), the jointPDF <strong>of</strong> X , U , , evolving by the diffusion process asgiven by Eq. 18 is ft vx k fk p x 2 1 3 2 u i i x k x k f Gv i v ij v j u j f S1 1 S2 2 i x k x kC f 1 S2 x iS f 1 2 2 f 3 u i u j x i 2 x k x k 2 f u j x k x 1 3k x i 2 fx i v j 2 f 1 v i v j 2 C 2 fu i 0 v k v 3 S2k x k f x k 2 fv i S2 2 f.2 x k x k The transport equations <strong>for</strong> the <strong>filtered</strong> variables are obtained by integration <strong>of</strong> Eq. 20 according to Eq. 12:20u k x k0, 21au i t t u ku i x k px i 12 2 1 3 2u i u k ,u i , 21bx k x k x k u k x k S1 1 S2 12 2 Sx k x u k , . 21ck x kThe transport equations <strong>for</strong> the second-order SGS moments areu i ,u j t u ku i ,u j 1x k 2 2 u i ,u j x k x ku k ,u i u jux k ,u j u ik x 1 2 1 3 3 u i u j kx k x kG ik u k ,u j G jk u k ,u i C 0 ij u k ,u i ,u j x k, 22aDownloaded 22 Sep 2004 to 140.121.120.39. Redistribution subject to AIP license or copyright, see http://p<strong>of</strong>.aip.org/p<strong>of</strong>/copyright.jsp
Phys. Fluids, Vol. 15, No. 8, August 2003<strong>Velocity</strong>-<strong>scalar</strong> <strong>filtered</strong> <strong>density</strong> <strong>function</strong>2325u i , t , t u ku i , 1x k 2 u k , 1x k 2 2 u i , x k x ku k ,u i ux k , u ikx k 1 1 3 1 S2 3 S2 u ix k Gx ik u k , C u i , ku i ,S u k ,u i , x k, 22b 2 , x k x k 1 2 1 S2 S2 x ku k , ux k , kx k 2Cx , ,S k ,S u k , , x k. 22cA term-by-term comparison <strong>of</strong> the exact moment transport equations Eqs. 4 and 6, with the modeled equations Eqs.21 and 22, suggests 1 2 3 S1 S2 2. However, this violates the realizability <strong>of</strong> the <strong>scalar</strong> field. A set <strong>of</strong>coefficients yielding a realizable stochastic model requires: 1 2 3 2 and S1 S2 0. That is,dX i U i dt2 dW i X ,23adU i p 2 2 u i Gx i x k x ij U j u j dt2 u idW Xk x k C 0 dW U i , 23bkd C S dt.23cThe Fokker–Planck equation <strong>for</strong> this system is ft vx k f pk x i f Gv i v ij v j u j f i2 u jx i 2 f u i u j x i v j x k x kC f S f 2 f x k x k 2 f 1 v i v j 2 C 2 f0v k v k24and the corresponding equations <strong>for</strong> the moments areu k x k0, 25au i t tu i ,u j tu i , t u ku i x k p 2 u i u k ,u i , 25bx i x k x k x k u k 2 Sx k x k x u k , , 25ck x k u ku i ,u j x k u ku i , x k 2 u i ,u j ux k x k ,u i u jkux k ,u j u iGk x ik u k ,u j G jk u k ,u i C 0 ij k u k ,u i ,u j x k, 26a 2 u i , x k x ku k ,u i x ku k , u iGx ik u k , C u i , ku i ,S u k ,u i , x k, 26bDownloaded 22 Sep 2004 to 140.121.120.39. Redistribution subject to AIP license or copyright, see http://p<strong>of</strong>.aip.org/p<strong>of</strong>/copyright.jsp
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