Flow organization in the wake of a rib in a turbulent boundary layer with pressure gradient

Güemes, A.; Vila, Carlos Sanmiguel; Vinuesa, Ricardo; Schlatter, Philipp; Ianiro, Andrea; Discetti, Stefano

doi:10.1016/j.expthermflusci.2019.05.022

Cited by 8 publications

(1 citation statement)

References 47 publications

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“…In particular, the parameters that can be employed to characterise the mean velocity profile of a TBL can be used, among other purposes, to determine whether a TBL can be considered as well-behaved, (i.e. not in a post-transitional state or affected by non-equilibrium effects) [3,4], to compare the results between different experimental or numerical datasets [5] or to calculate dimensionless numbers that are used to analyse the effect of disturbances such as the inclusion of obstacles or pressure gradients [6,7]. These parameters include quantities such as: the friction velocity u τ , * Author to whom any correspondence should be addressed.…”

Section: Introductionmentioning

confidence: 99%

On the uncertainty of boundary-layer parameters from Ensemble PTV data

Castellanos

Vila

Güemes

et al. 2021

Meas. Sci. Technol.

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The recent advancements in high-resolution turbulence-statistics computation from ensemble particle tracking velocimetry (EPTV) data are now opening new possibilities in turbulent-flow characterisation. Measurements of full-field boundary layer profiles with a fine resolution close to the wall and up to the freestream with one single imaging setup are now feasible, thus paving the way to direct characterisation of turbulent-boundary-layer (TBL) parameters with composite-profile formulations. In this work, we build a framework for the estimation of the uncertainty of EPTV in performing this task. The effect of systematic errors due to finite spatial resolution and of random error due to convergence are investigated under different window size. Then we introduce random errors to simulate the effects on convergence issues on the velocity profile and, consequently, on the estimation of turbulent-boundary-layer parameters. The statistical dispersion of the estimated parameters provides an estimation of the uncertainty range. We validate with experimental data this flexible tool to estimate a priori the expected uncertainty level of the most relevant turbulent-boundary-layer parameters in zero-pressure-gradient TBL, being the method based on existing profiles from high-fidelity simulation or from analytical composite-profile formulations when such data are not available.

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