Quantitative flow field measurements in a catapult facility using particle image velocimetry

Dieterle, L.; Ehrenfried, Klaus; Stuff, R.; Schneider, G.; Coton, P.; Monnier, Jean-Claude; Lozier, J.-F.

doi:10.1109/iciasf.1999.827140

Cited by 4 publications

(2 citation statements)

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“…However Jacquin et al [3] concluded vortex meandering to be insensitive to free stream unsteadiness in the wind tunnel. Fabre & Jacquin [24,25] and Dieterle et al [26] suggested meandering might also be influenced by the destabilization of a vortex by secondary vortex of opposite sense. Jacquin goes further by reporting that the various co-operative interactions between primary and secondary vortices affected the same range of frequencies as meandering.…”

Section: Experimental Methodsmentioning

confidence: 99%

Implicit Large-Eddy Simulation of a Wingtip Vortex

Lombard¹,

Moxey²,

Sherwin³

et al. 2016

AIAA Journal

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In this article we present recent developments in numerical methods for performing a Large Eddy Simulation (LES) of the formation and evolution of a wingtip vortex. The development of these vortices in the near wake, in combination with the large Reynolds numbers present in these cases, make these types of test cases particularly challenging to investigate numerically. We first give an overview of the Spectral Vanishing Viscosity-implicit LES (SVV-iLES) solver that is used to perform the simulations, and highlight techniques that have been adopted to solve various numerical issues that arise when studying such cases. To demonstrate the method's viability, we present results from numerical simulations of flow over a NACA 0012 profile wingtip at Rec = 1.2 · 10 6 and compare them against experimental data, which is to date the highest Reynolds number achieved for a LES that has been correlated with experiments for this test case. Our model correlates favorably with experiment, both for the characteristic jetting in the primary vortex and pressure distribution on the wing surface. The proposed method is of general interest for the modeling of transitioning vortex dominated flows over complex geometries. = cut-off mode of the SVV filter P = P = M − 1 polynomial order of the spectral element. ε SV V = diffusion from the SVV filter Q = SVV kernel

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