«« Back

Numerical study of the influence of statistical inlet length scales on turbulent boundary layer development
Author(s): YoungTae LEE, HeeChang LIM
Keywords: Statistical inflow data, Synthetic inflow generator, Integral length scale, Channel flow, Turbulent boundary layer, CFD
In the past half century, large-eddy simulations (LESs) have played an important role in turbulent flow simulation and improving the performance of computing technology. To generate a fully developed turbulent boundary layer in the channel domain using LES, suitable inflow conditions along with statistically reliable turbulent characteristics are required. This study aims to clarify the effect of the integral length scale from the existing data on the generation of turbulent boundary layers. To do this, an artificially created boundary layer is imposed on the inlet section, which gradually evolves into a fully developed turbulent boundary layer flow inside the numerical domain. In this study, the synthetic inflow method, which is based on an exponential correlation function, is used by imposing the spatial and temporal correlation between two different points on the inlet section. In addition, we conduct parametric length scale studies on the inlet section and compare our results with existing data. The results showed that the larger-length scales in the span-wise direction were not only effective in achieving the target shape of a fully developed turbulent boundary layer, but also developed it faster than the smaller-length scales.

Journal of Applied Fluid Mechanics

The Journal of Applied Fluid Mechanics (JAFM) is an international, peer-reviewed journal which covers a wide range of theoretical, numerical and experimental aspects in fluid mechanics. The emphasis is on the applications in different engineering fields rather than on pure mathematical or physical aspects in fluid mechanics. Although many high quality journals pertaining to different aspects of fluid mechanics presently exist, research in the field is rapidly escalating.