2018
DOI: 10.1017/jfm.2018.552
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Mean flow generation by an intermittently unstable boundary layer over a sloping wall

Abstract: Direct numerical simulations (DNS) of the flow in various rotating annular confinements have been conducted to investigate the effects of wall inclination on secondary fluid motions due to an unstable boundary layer. The inner wall resembles a truncated cone (frustum) whose apex half-angle is varied from $18^{\circ }$ to $0^{\circ }$ (straight cylinder). The large inner radius $r_{1}$, the mean rotation rate $\unicode[STIX]{x1D6FA}_{0}$ and the kinematic viscosity $\unicode[STIX]{x1D708}$ were kept constant re… Show more

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Cited by 7 publications
(19 citation statements)
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“…This velocity yields a bulk Reynolds number (inverse Ekman number) Re = U 2 0 /(Ω 0 ν) ≈ 13, 000. The corresponding steady [30] and librating [29] Ekman flows are already turbulent in this regime, as should be the flow in the experiment.…”
supporting
confidence: 56%
See 1 more Smart Citation
“…This velocity yields a bulk Reynolds number (inverse Ekman number) Re = U 2 0 /(Ω 0 ν) ≈ 13, 000. The corresponding steady [30] and librating [29] Ekman flows are already turbulent in this regime, as should be the flow in the experiment.…”
supporting
confidence: 56%
“…The governing equations are the simplified Navier-Stokes equations that includes rotation (f -plane equations) [2]. For an oscillating horizontal wall velocity U 0 cos(Ωt) the asymptotic leading-order solution reads [29]…”
mentioning
confidence: 99%
“…The turbulent ODT results reveal that the vertical extent of nonzero velocity has notably increased indicating that the turbulent boundary layer is thicker than the laminar one. This meets the expectation and is in qualitative agreement with available reference data [5,6]. Note that the two turbulent flow profiles shown in each panel are not identical.…”
Section: Flow Profiles For Laminar and Turbulent Flow Conditionssupporting
confidence: 91%
“…This is not a statistical fluctuation but a dynamical effect that hints at the temporal variability of the turbulent ESBL. The ensemble average used preserves some temporal information about the transient turbulence properties that are subject to periodic generation and destruction [5]. The stochastic modeling approach is able to capture these effects to leading order.…”
Section: Flow Profiles For Laminar and Turbulent Flow Conditionsmentioning
confidence: 99%
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