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Tenth International Symposium on Turbulence and Shear Flow Phenomena
July, 7-9, 2017 , Swissotel Chicago, Chicago, Illinois, U.S.A.

DOI: 10.1615/TSFP10

Investigating Asymptotic Suction Boundary Layers using a One-Dimensional Stochastic Turbulence Modeling Approach

pages 263-268
DOI: 10.1615/TSFP10.460
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Краткое описание

The one-dimensional turbulence (ODT) model is applied to study asymptotic suction boundary layers. ODT offers fully resolved, unsteady simulations in one dimension. Turbulent three dimensional advection is represented through stochastic mapping events whose sequence is following a Poisson process. Because ODT is operating only in one dimension it features major cost savings compared to full 3D DNS and offers the potential to study asymptotic suction boundary layers at larger Reynolds numbers than currently feasible via DNS. In the current contribution we quantify the ability of the ODT method to simulate asymptotic suction boundary layers by comparing ODT results to recent DNS/LES findings. We focus on Reynolds numbers in the range Re = u0 ∈ [333,400,500], where u and ν0 are the freestream and suction velocity, respectively. We show that several features associated with suction boundary layers (reduced Reynolds stresses, high anisotropy near the wall, large friction Reynolds numbers) can be reproduced with ODT. In addition we investigate the influence of an important ODT model parameter, that influences the turbulent kinetic energy exchange between velocity components and hence impacts the predicted turbulent stress and isotropy profiles. Presented turbulent kinetic energy budgets will be discussed. We also conduct a resolution sensitivity study to demonstrate mesh convergence of our reference results.

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