2015
DOI: 10.1016/j.jnnfm.2015.10.005
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An algebraic closure model for the DNS of turbulent drag reduction by Brownian microfiber additives in a channel flow

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Cited by 22 publications
(7 citation statements)
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“…In recent years, a variety of advanced computational methods, e.g., finite element, Newton's method, numerical linear algebra, statistics, numerical analysis, discrete Fourier transform, tensor analysis, and artificial intelligence, have been used in different research fields such as material engineering [24][25][26][27][28][29][30][31], chemical engineering [32][33][34][35][36][37], electrical engineering [38][39][40][41][42][43][44][45][46], medical and biomedical sciences [47][48][49][50][51][52], civil engineering [53][54][55][56], economic science [57][58][59][60][61][62][63][64][65][66][67][68], fluid mechanic engineering [69][70]…”
Section: Radial Basis Function (Rbf) Neural Networkmentioning
confidence: 99%
“…In recent years, a variety of advanced computational methods, e.g., finite element, Newton's method, numerical linear algebra, statistics, numerical analysis, discrete Fourier transform, tensor analysis, and artificial intelligence, have been used in different research fields such as material engineering [24][25][26][27][28][29][30][31], chemical engineering [32][33][34][35][36][37], electrical engineering [38][39][40][41][42][43][44][45][46], medical and biomedical sciences [47][48][49][50][51][52], civil engineering [53][54][55][56], economic science [57][58][59][60][61][62][63][64][65][66][67][68], fluid mechanic engineering [69][70]…”
Section: Radial Basis Function (Rbf) Neural Networkmentioning
confidence: 99%
“…This results in a dramatic increase in the frictional drag exerted on the wall as compared to the laminar flow. Thus, the attempt to reduce frictional drag in turbulent wall flows is of practical importance [11]. The Shear Stress Transport model of Menter (SST) changes between − and − models.…”
Section: Turbulence Model −mentioning
confidence: 99%
“…hnnnni quad = hnnihnni; (24) with ij and a ij being the Kronecker delta and the Cartesian components of hnni, respectively; e i is the Cartesian basis vectors. Eq.…”
Section: Closure Modelsmentioning
confidence: 99%
“…This model, called VA (Viscous Anisotropic), revisited by Moosaie and Manhart [23] and extended to VAF (Viscous Anisotropic with velocity Fluctuations), was applied to ful ll more physical constraints and produce more realistic results. Recently, Moosaie et al [24] have extended the VAF model to take the rotary Brownian motion of particles into account. He used the algebraic model of [23] to directly simulate the ber-induced turbulent drag reduction in a pressure-driven rodroughened channel ow [25].…”
Section: Introductionmentioning
confidence: 99%