A Predictive Near-Wall Model For Large Eddy Simulations
ORAL
Abstract
Spectral analysis of the DNS data indicates that thin-layer asymptotics is a
promising approach to model the interactions between the near-wall layer and
the outer flow. For this approach an asymptotic analysis of the filtered
Navier-Stokes equations is pursued in the limit in which the horizontal filter
scale is large compared to the thickness of the wall layer. It is shown in
this limit that the filtered velocities in the near-wall layer are
determined to zeroth order by filtered velocities at the boundary of the wall
layer. Further, the asymptotics suggest that there is a scaled universal
velocity profile in the near-wall region. The profile is evaluated
through analysis of DNS data from channel flow at Re_{\tau}=5200. The
resulting profile is used along with asymptotically relevant terms
to formulate a predictive near-wall model. This model is a PDE solved on the
boundary plane for the LES domain to represent the integrated effects of
the wall on the LES. We present results from a coarse LES using this wall
model.
promising approach to model the interactions between the near-wall layer and
the outer flow. For this approach an asymptotic analysis of the filtered
Navier-Stokes equations is pursued in the limit in which the horizontal filter
scale is large compared to the thickness of the wall layer. It is shown in
this limit that the filtered velocities in the near-wall layer are
determined to zeroth order by filtered velocities at the boundary of the wall
layer. Further, the asymptotics suggest that there is a scaled universal
velocity profile in the near-wall region. The profile is evaluated
through analysis of DNS data from channel flow at Re_{\tau}=5200. The
resulting profile is used along with asymptotically relevant terms
to formulate a predictive near-wall model. This model is a PDE solved on the
boundary plane for the LES domain to represent the integrated effects of
the wall on the LES. We present results from a coarse LES using this wall
model.
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Presenters
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Prakash Mohan
University of Texas at Austin
Authors
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Prakash Mohan
University of Texas at Austin
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Robert D Moser
University of Texas at Austin, The University of Texas at Austin, UT Austin