Notes on Numerical Fluid Mechanics and Multidisciplinary Design (NNFM)
DOI: 10.1007/978-3-540-74460-3_23
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Improvement of the Automatic Grid Adaptation for Vortex Dominated Flows Using Advanced Vortex Indicators with the DLR-Tau Code

Abstract: Vortex dominated flows appear in many flow simulations such as wake turbulence of an aircraft or a delta wing at a high angle of attack. For detailed investigations of vortex breakdown, vortex interactions or tracing vortex cores, an automated grid adaptation with suitable vortex indicators is essential. Physical indicators, e.g. the vorticity magnitude or the total pressure loss, are in most cases not sufficient for correctly identifying a vortex core. This paper presents advanced vortex core indicators which… Show more

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Cited by 2 publications
(2 citation statements)
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“…The automatic grid adaptation module of the DLR TAU-code 25,26 was applied in order to better resolve the prevailing flow features like shocks and wake vortices. Based on the well-converged solution of the mediumsized spoiler grid, using the Spalart-Allmaras turbulence model, four grid refinement cycles were carried out.…”
Section: Iib2 Grid Adaptationmentioning
confidence: 99%
“…The automatic grid adaptation module of the DLR TAU-code 25,26 was applied in order to better resolve the prevailing flow features like shocks and wake vortices. Based on the well-converged solution of the mediumsized spoiler grid, using the Spalart-Allmaras turbulence model, four grid refinement cycles were carried out.…”
Section: Iib2 Grid Adaptationmentioning
confidence: 99%
“…These new sensors are the λ 2 criteria and kinematic vortex number, N k criteria, which take into account the rotation and rate-of-strain of the velocity gradient, and the normalized helicity H n , which takes into account the angle between the translational and rotational velocity vectors. The new sensors are currently being evaluated as to their effectiveness in capturing the relevant flow phenomena in a vortex-dominated flow field [8].…”
Section: Tau-code Module: Adaptationmentioning
confidence: 99%