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122 Chen and Zhai<br />

5.2.1 Large-eddy simulation<br />

By filtering the Navier–Stokes and continuity equations in the LES approach, one<br />

would obtain the governing equations for the large-eddy motions as<br />

�u i<br />

�(t)<br />

�u i<br />

�x i<br />

�<br />

(5.1)<br />

(5.2)<br />

where the bar represents grid filtering. The subgrid-scale Reynolds stresses, � ij, in<br />

Equation (5.1),<br />

(5.3)<br />

are unknown and must be modeled with a subgrid-scale model. Numerous subgridscale<br />

models have been developed in the past thirty years. The simplest and probably<br />

the most widely used is the Smagorinsky subgrid-scale model (Smagorinsky 1963)<br />

since the pioneering work by Deardorff (1970). The model assumes that the subgridscale<br />

Reynolds stress, � ij, is proportional to the strain rate tensor,<br />

S ij �<br />

� 0<br />

�<br />

(u<br />

�x iuj) � �<br />

j<br />

� ij � u iu j � u iu j<br />

1<br />

2� �ui �xj �<br />

� ij ��2� SGSS ij<br />

�uj �xi� where the subgrid-scale eddy viscosity, � SGS, is defined as<br />

� SGS � (C SGS�) 2 (2S ij·S ij) 1/2<br />

1 �<br />

�p<br />

�x i<br />

�<br />

� �<br />

2 ui �<br />

�xj �xj � C� 2 (2S ij·S ij) 1/2<br />

(5.4)<br />

(5.5)<br />

(5.6)<br />

The Smagorinsky constant, C SGS, ranges from 0.1 to 0.2 determined by flow types,<br />

and the model coefficient, C, is the square of C SGS. The model is an adaptation of the<br />

mixing length model of RANS modeling to the subgrid-scale model of LES.<br />

5.2.2 RANS modeling<br />

Reynolds (1895) introduced the Reynolds-averaged approach in 1895. He decomposed<br />

the instantaneous velocity and pressure and other variables into a statistically<br />

averaged value (denoted with capital letters) and a turbulent fluctuation superimposed<br />

thereon (denoted with � superscript). Taking velocity, pressure, and a scale<br />

variable as examples:<br />

u i � U i � u i�, p � P � p�, � � � � ��<br />

(5.7)<br />

The statistical average operation on the instantaneous, averaged, and fluctuant<br />

variables have followed the Reynolds average rules. Taking velocity as an example,<br />

��ij �xj

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