Journal of Fluid Mechanics · 2010 · 919 citations · 27 references
Natural SciencesPhysicsComputational Fluid DynamicsComputational PhysicsFluid DynamicsBoundary Layer FlowBoundary-layer TheoryDirect Numerical SimulationLow-reynolds-number FlowTurbulenceTurbulent FlowBoundary Layer SimulationFriction CoefficientGrid Resolution EffectsNumerical Flow SimulationNumerical SimulationPressure Gradient EffectsReynolds NumberTurbulent Boundary Layers
Statistics obtained from seven different direct numerical simulations (DNSs) pertaining to a canonical turbulent boundary layer (TBL) under zero pressure gradient are compiled and compared. The considered data sets include a recent DNS of a TBL with the extended range of Reynolds numbers Re θ = 500–4300. Although all the simulations relate to the same physical flow case, the approaches differ in the applied numerical method, grid resolution and distribution, inflow generation method, boundary conditions and box dimensions. The resulting comparison shows surprisingly large differences not only in both basic integral quantities such as the friction coefficient c f or the shape factor H 12 , but also in their predictions of mean and fluctuation profiles far into the sublayer. It is thus shown that the numerical simulation of TBLs is, mainly due to the spatial development of the flow, very sensitive to, e.g. proper inflow condition, sufficient settling length and appropriate box dimensions. Thus, a DNS has to be considered as a numerical experiment and should be the subject of the same scrutiny as experimental data. However, if a DNS is set up with the necessary care, it can provide a faithful tool to predict even such notoriously difficult flow cases with great accuracy.
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Scaling of the energy spectra of turbulent channels
Juan C. del Álamo, Javier Jim�nez, Paulo Zandonade et al. · Journal of Fluid Mechanics · 2004 · 690 citations · Full text