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Page 185

For this purpose, we can also introduce here the 2D energy

ujuj > L#, as the product of the Reynolds stress tensor

corresponding integral length scale (Salhi & Cambon, 1995b). These quantities

may be a ...

For this purpose, we can also introduce here the 2D energy

**components**£, = <ujuj > L#, as the product of the Reynolds stress tensor

**components**with acorresponding integral length scale (Salhi & Cambon, 1995b). These quantities

may be a ...

Page 202

However the almost equal probability of alignment and counteralignment

explains why in Fig. 2b at y > 0.5 two helicity

< 0.5 there is an alignment, and it produces positive values of the helicity density

in Fig.

However the almost equal probability of alignment and counteralignment

explains why in Fig. 2b at y > 0.5 two helicity

**components**intersect the axis. For y< 0.5 there is an alignment, and it produces positive values of the helicity density

in Fig.

Page 203

In the rotating case the unbalance is reduced, and this circumstance confirms that

the distributions of fluctuating velocity and vorticity

that interpolation errors are reduced. Before describing the effects of the ...

In the rotating case the unbalance is reduced, and this circumstance confirms that

the distributions of fluctuating velocity and vorticity

**components**are smoother andthat interpolation errors are reduced. Before describing the effects of the ...

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### Contents

Analysis of discretization errors in LES SANDIP GHOSAL | 3 |

On why dynamic subgridscale models work J JIMENEZ | 25 |

A family of dynamic models for largeeddy simulation D CARATI | 35 |

15 other sections not shown

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acoustic adverse pressure gradient airfoil algorithm aliasing error Annual Research Briefs approximation Bilger boundary conditions boundary layer calculation Center for Turbulence channel flow coefficients combustion components computational constant convective density derived diffusion direct numerical simulations domain dynamic model eddy viscosity effect enstrophy expansion experimental explicit filtering FIGURE finite difference flame speed Fluid Mech flux function high Reynolds number homogeneous turbulence incompressible integral interaction isotropic isotropic turbulence kinetic energy laminar large-eddy simulation length scale Mach number mean velocity mesh method mixture fraction Moin multipole multipole expansions Navier-Stokes Navier-Stokes equations noise obtained parameters particle Phys Piomelli predictions premixed flames pseudo spectral region Research Briefs 1995 resolution Reynolds stress rotation shown in Fig Smagorinsky spanwise spectrum statistics streamwise structure subgrid subgrid-scale model surface transport equation Turbulence Research turbulent flame turbulent flow values vector vortex vorticity vorticity field wake wall wall-normal wavenumber Winckelmans