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Non-Newtonian turbulence: viscoelastic fluids and binary mixtures.

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8 1. <strong>Newtonian</strong> <strong>turbulence</strong><br />

1.1 Navier-Stokes equation<br />

The dynamics of an incompressible viscous fluid is described by the Navier-<br />

Stokes (1823) equation for the velocity field u(x, t), supplemented by the incompressibility<br />

condition:<br />

∂tu + u · ∇u = − 1<br />

∇P + ν∆u + f (1.1)<br />

ρ<br />

∇ · u = 0 (1.2)<br />

where P is the pressure, ρ is the density of the fluid, ν = µ/ρ its kinematic<br />

viscosity <strong>and</strong> f the resultant per unit mass of the external forces sustaining the<br />

motion.<br />

Let us briefly inspect the different terms appearing in Navier-Stokes equation:<br />

• u · ∇u is the inertial, nonlinear, term responsible for the transfer of kinetic<br />

energy in the turbulent cascade.<br />

• −∇P are the pressure gradients, ensuring incompressibility of the flow. In<br />

ρ<br />

absence of external forces, they are determined by the Poisson equation<br />

∆P = −ρ∂i∂juiuj<br />

obtained taking the divergence of eq. (1.1).<br />

(1.3)<br />

• ν∆u is the viscous dissipative term originated by the Reynolds stresses.<br />

This is the dominant term in the laminar regime.<br />

It is easy to underst<strong>and</strong> the physical meaning of eqs. (1.1)-(1.2); these are nothing<br />

else than conservation of momentum <strong>and</strong> mass per unit volume, respectively:<br />

dui<br />

dt<br />

1 ∂Tij<br />

=<br />

ρ ∂xj<br />

+ fi<br />

(1.4)<br />

∂ρ<br />

+ ∇ · (ρu) = 0 (1.5)<br />

∂t<br />

where T is the stress tensor. For a <strong>Newtonian</strong> fluid this is linearly dependent on<br />

the deformation tensor eij = 1<br />

2 (∂jui + ∂iuj) <strong>and</strong> is given by [6]<br />

Tij = −Pδij + µ(∂jui + ∂iuj − 2<br />

3 δij∂kuk) + ζδij∂kuk<br />

where the viscosity coefficients µ <strong>and</strong> ζ are positive functions of pressure <strong>and</strong><br />

temperature that will be assumed to be constant in the following. Let us observe<br />

8

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