Near Wall Velocity and Vorticity Measurements, In A Very High R(theta) Turbulent Boundary Layer

Treat, Scott C.; Foss, J. F.

doi:10.21236/ada449849

Cited by 1 publication

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“…The reasons for this very high sampling rate pertain to the microcirculation-based vorticity-estimation methodology described in § 2.4.2 below. The calibration and operating procedures for these sensors are given in Treat (2006).…”

Section: Instrumentation and Data Acquisitionmentioning

confidence: 99%

Statistical structure of turbulent-boundary-layer velocity–vorticity products at high and low Reynolds numbers

et al. 2007

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The mean wall-normal gradients of the Reynolds shear stress and the turbulent kinetic energy have direct connections to the transport mechanisms of turbulent-boundary-layer flow. According to the Stokes–Helmholtz decomposition, these gradients can be expressed in terms of velocity–vorticity products. Physical experiments were conducted to explore the statistical properties of some of the relevant velocity–vorticity products. The high-Reynolds-number data (Rθ≃O(106), where θ is the momentum thickness) were acquired in the near neutrally stable atmospheric-surface-layer flow over a salt playa under both smooth- and rough-wall conditions. The low-Rθdata were from a database acquired in a large-scale laboratory facility at 1000 >Rθ> 5000. Corresponding to a companion study of the Reynolds stresses (Priyadarshana & Klewicki,Phys. Fluids, vol. 16, 2004, p. 4586), comparisons of low- and high-Rθas well as smooth- and rough-wall boundary-layer results were made at the approximate wall-normal locationsyp/2 and 2yp, whereypis the wall-normal location of the peak of the Reynolds shear stress, at each Reynolds number. In this paper, the properties of thevωz,wωyanduωzproducts are analysed through their statistics and cospectra over a three-decade variation in Reynolds number. Hereu,vandware the fluctuating streamwise, wall-normal and spanwise velocity components and ωyand ωzare the fluctuating wall-normal and spanwise vorticity components. It is observed thatv–ωzstatistics and spectral behaviours exhibit considerable sensitivity to Reynolds number as well as to wall roughness. More broadly, the correlations between thevand ω fields are seen to arise from a ‘scale selection’ near the peak in the associated vorticity spectra and, in some cases, near the peak in the associated velocity spectra as well.

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Section: Instrumentation and Data Acquisitionmentioning

confidence: 99%

Statistical structure of turbulent-boundary-layer velocity–vorticity products at high and low Reynolds numbers

et al. 2007

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Near Wall Velocity and Vorticity Measurements, In A Very High R(theta) Turbulent Boundary Layer

Abstract: DISTRIBUTION STATEMENT AApproved for Public Release Distribution Unlimited 20060630252

Cited by 1 publication

References 12 publications

Statistical structure of turbulent-boundary-layer velocity–vorticity products at high and low Reynolds numbers

Statistical structure of turbulent-boundary-layer velocity–vorticity products at high and low Reynolds numbers

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