By Schroll H.J., Svensson F.
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Extra resources for A Bi-Hyperbolic Finite volume Method on Quadrilateral Meshes
Pope (2004) gives an explanation for this. As discussed in Chapter 2, it is reasonable to assume that turbulence possesses scale similarity at high Reynolds numbers, but only over length scales corresponding to the inertial subrange. In the inertial subrange, the Smagorinsky model is, by construction, consistent with the known inertial-range scaling laws. 2. 10: Influence of the SGS model. 0 (top to bottom as indicated in the rightmost column). Solid line, H2; dashed line, H4; symbols, experimental data from B¨uchner & Petsch (2004).
The prediction of the mean flow and the turbulence intensities is satisfactory with both grids and both models showing satisfactory agreement. On the other hand, the simulations with the fine grid and with the dynamic model are more expensive but they offer the possibility to analyze the flow field in more detail because more scales of motion are resolved. This information will be used in the following way. The objective of the rest of this chapter is the detailed analysis of both mean flow and instantaneous flow.
This can be done within the RANS framework using the so-called Unsteady RANS (URANS) approach. In eq. g. by ensemble averaging, and therefore in eq. 8) the time derivative of the mean remains present, see for example Durbin (2002). In the flows considered in this work, that is jets involving high levels of swirl, periodic flow instabilities develop. An unsteady approach is therefore required. The performance of URANS for such flows has been evaluated by Wegner et al. (2004b). They showed that the URANS calculations were able to predict the flow instabilities but the level of fluctuations and the spreading rate of the flow were substantially underpredicted.