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BAIL 2006 Book of Abstracts - Institut für Numerische und ...

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M. HÖLLING, H. HERWIG: Computation <strong>of</strong> turbulent natural convection at vertical<br />

walls using new wall functions<br />

✬<br />

✫<br />

Computation <strong>of</strong> turbulent natural convection at vertical walls using new wall<br />

functions<br />

M. Hölling, H. Herwig<br />

Technical Thermodynamics<br />

Hamburg University <strong>of</strong> Technology<br />

Denickestraße 15, 21073 Hamburg, Germany<br />

m.hoelling@tu-harburg.de<br />

h.herwig@tu-harburg.de<br />

Turbulent natural convection at vertical walls has been <strong>und</strong>er investigation in the last decades<br />

but is still not sufficiently <strong>und</strong>erstood. The viscous sublayer, i.e. the region very close to the wall,<br />

can be described properly, see e.g. Tsuji and Nagano [1], since there the turbulent fluctuations<br />

are damped by the wall and the governing equations can be solved directly. But in the more<br />

interesting region in which turbulence dominates, the flow cannot be described properly. George<br />

and Capp [2] <strong>of</strong>fer analytical temperature and velocity pr<strong>of</strong>iles which have become a kind <strong>of</strong><br />

standard for natural convection. But, it was shown by Versteegh and Nieuwstadt [3] and by<br />

Henkes and Hoogendoorn [4] that at least the velocity pr<strong>of</strong>ile is erroneous. We employ a different<br />

approach presented in Hölling and Herwig [5] to describe the turbulence affected region <strong>of</strong> the<br />

flow field.<br />

The starting point for the analysis is a channel with a hot and a cold wall <strong>of</strong> infinite extent<br />

as used by Versteegh and Nieuwstadt [3] for their DNS study. The governing equations then<br />

reduce to:<br />

0 = ∂<br />

�<br />

∂y<br />

0 = ∂<br />

∂y<br />

∂y − v′ T ′<br />

�<br />

a ∂T<br />

�<br />

ν ∂u<br />

∂y − u′ v ′<br />

�<br />

+ gβ � �<br />

T − T0<br />

It is fo<strong>und</strong> that the temperature field consists <strong>of</strong> a viscosity influenced wall layer and a fully<br />

turbulent outer layer. The temperature pr<strong>of</strong>ile is obtained by matching <strong>of</strong> gradients between<br />

these layers that reveals a logarithmic pr<strong>of</strong>ile. It is in good agreement with DNS as well as<br />

experimental temperature pr<strong>of</strong>iles from various studies.<br />

For the velocity pr<strong>of</strong>ile a different approach is chosen; the pr<strong>of</strong>ile is not obtained by matching<br />

<strong>of</strong> gradients. Instead the momentum equation (2) is rewritten in such a way that the temperature<br />

pr<strong>of</strong>ile and the Reynolds stresses are expressed as a function <strong>of</strong> the wall distance. The Reynolds<br />

stresses are modelled using the eddy viscosity approach. A constant turbulent Prandtl number<br />

is assumed as can be concluded from DNS data. Then the eddy viscosity is directly linked to the<br />

turbulent thermal diffusivity and therefore is a linear function <strong>of</strong> wall distance. Once all terms<br />

are expressed as a function <strong>of</strong> wall distance the momentum equation can be integrated and a<br />

velocity pr<strong>of</strong>ile emerges. This pr<strong>of</strong>ile is in good agreement with DNS and experimental data.<br />

Straightforward numerical solutions without adequate near wall treatment, like with FLU-<br />

ENT 6.2, to reproduce the DNS data <strong>of</strong> Versteegh and Nieuwstadt [3] for Ra = 5.0 · 10 6 show<br />

that even with fine grids also in the viscous sublayer only poor agreement can be achieved.<br />

Thus, we conclude that it would be diserable to have a new approach and improved near wall<br />

treatment.<br />

Therefore, we apply the new universal pr<strong>of</strong>iles as wall functions for CFD calculations. They<br />

are implemented in the two dimensional CAFFA code <strong>of</strong> Ferziger and Peric [6] that uses the kω-turbulence<br />

model and the Boussinesq-approximation. The standard k-ω model is used inspite<br />

Speaker: HÖLLING, M. 91 <strong>BAIL</strong> <strong>2006</strong><br />

1<br />

(1)<br />

(2)<br />

✩<br />

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