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Numerical Simulation of the Dynamics of Turbulent Swirling Flames

Numerical Simulation of the Dynamics of Turbulent Swirling Flames

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<strong>Turbulent</strong> Reacting Flows<br />

Some <strong>of</strong> <strong>the</strong>se drawbacks can be overcome using a dynamic formulation<br />

<strong>of</strong> <strong>the</strong> constant C s at each point and at each time step [63, 65] (but it can<br />

become computationally unstable [63,211]), or using a damping function<br />

(as <strong>the</strong> Van Driest function [133, 205]) to recover <strong>the</strong> correct behavior at<br />

<strong>the</strong> wall.<br />

• The WALE Model:<br />

The Wall-Adapting Local Eddy-viscosity (WALE) model from Nicoud and<br />

Ducros [133] is based on <strong>the</strong> square <strong>of</strong> <strong>the</strong> velocity gradient tensor g i j<br />

g i j<br />

= ∂u i<br />

∂x j<br />

, (2.60)<br />

and developed for wall bounded flows in an attempt to reproduce <strong>the</strong><br />

proper scaling at <strong>the</strong> wall (ν t =O(y 3 )).<br />

The SGS turbulent viscosity is defined as:<br />

ν t = ( C w ¯∆ e<br />

) 2<br />

(<br />

S d i j Sd i j<br />

) 3/2<br />

) 5/2 ( ) 5/4<br />

(2.61)<br />

(S i j S i j + S d i j Sd i j<br />

where,<br />

S d i j = 1 ( )<br />

g 2 i j<br />

2<br />

+ g 2 j i<br />

− 1 3 δ i j g 2 kk , (2.62)<br />

= S i k S k j + Ω i k Ω k j − 1 )<br />

3 δ i j<br />

(S mn S mn − Ω mn Ω mn , (2.63)<br />

where Ω <strong>the</strong> anti-symmetric part <strong>of</strong> g :<br />

Ω i j = 1 ( ∂ui<br />

− ∂u )<br />

j<br />

. (2.64)<br />

2 ∂x j ∂x i<br />

The model constant C w = 0.4929 is set in AVBP. The WALE model is used<br />

in <strong>the</strong> present study because [133]:<br />

(a) <strong>the</strong> spatial operator consists <strong>of</strong> a mixing <strong>of</strong> <strong>the</strong> local strain and rotation<br />

rates. All <strong>the</strong> turbulence structures relevant for <strong>the</strong> kinetic energy<br />

dissipation are detected by <strong>the</strong> model.<br />

28

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