Turbulent boundary layer, wall shear-stress statistics using a predictive wall-model combined with LES
ORAL
Abstract
Time-wise velocity signals obtained from large-eddy simulation (LES) within the near-wall, logarithmic region of the zero-pressure gradient, flat-plate turbulent boundary layer are used as input to a calibrated, empirical wall model (Mathis {\it et al}, 2011) to calculate the statistics of the fluctuating, wall shear stress $\tau_w$. These are compared with DNS (Schaltter \& \"Orl\"u, 2011; Komminaho \& Skote, 2002) at lower Reynolds number and with statistics obtained using the empirical wall model applied to experimentally generated time-series. The DNS, experimentally-based and LES-based predictions are consistent with a log-like increase of $\overline{(\tau_w'^+)^2}$ with $Re_\tau$. It is argued that the LES is thus able to capture large-scale motions within the log-region that are generating this increased wall activity, up to $Re_\tau = 2\times 10^5$.
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Authors
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Dale Pullin
California Institute of Technology
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Michio Inoue
California Institute of Technology
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Romain Mathis
University of Melbourne
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Ivan Marusic
The University of Melbourne, University of Melbourne, Department of Mechanical Engineering, University of Melbourne