Simulation of Wingtip Vortex Flows with Reynolds-Averaged Navier–Stokes and Scale-Resolving Simulation Methods

Pereira, Filipe S.; Eça, Luís; Vaz, Guilherme

doi:10.2514/1.J057512

Simulation of Wingtip Vortex Flows with Reynolds-Averaged Navier–Stokes and Scale-Resolving Simulation Methods

Journal Article · Thu Jan 10 23:00:00 EST 2019 · AIAA Journal

DOI:https://doi.org/10.2514/1.J057512· OSTI ID:1529537

Pereira, Filipe S. ^[1]; Eça, Luís ^[2]; Vaz, Guilherme ^[3]

Higher Technical Inst., Lisbon (Portugal); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Higher Technical Inst., Lisbon (Portugal)
Maritime Research Inst. Netherlands, Wageningen (Netherlands)

The simulation of wingtip vortex flows is reported on with Reynolds-averaged Navier–Stokes (RANS) equations and scale-resolving simulation (SRS) models. These range from turbulent viscosity and Reynolds-stress model (RSM) RANS closures, to hybrid and bridging SRS methods. The aim of the study was threefold: assess the relevance of replicating the experimental flow conditions, evaluate the numerical requisites of each mathematical model, and determine their modeling accuracy in prediction of a representative wingtip vortex flow. The selected problem is the flow around a NACA 0012 wing at 10 deg of angle of attack and Reynolds number of 4.60×10⁶. The results confirm the relevance of reproducing the experimental flow conditions, in particular at the inlet boundary where the flow is not uniform. For this reason, the evaluation of modeling errors using the available measurements requires the specification of the experimental inlet conditions. On the other hand, the quantification of the modeling error indicates that solely RANS–RSM can achieve an accurate representation of the flow dynamics. Whereas the well-recognized limitations of turbulent viscosity RANS closures to deal with solid-body rotation lead to the overprediction of turbulence and consequent rapid diffusion of the wingtip vortex, the predictive use of SRS methods may reveal excessively complex and demanding.

View Accepted Manuscript (DOE)

Research Organization:: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation (NA-20); Maritime Research Institute Netherlands; Laboratory for Advanced Computing at the University of Coimbra

Grant/Contract Number:: 89233218CNA000001

OSTI ID:: 1529537

Report Number(s):: LA-UR--18-28644

Journal Information:: AIAA Journal, Journal Name: AIAA Journal Journal Issue: 3 Vol. 57; ISSN 0001-1452

Publisher:: AIAACopyright Statement

Country of Publication:: United States

Language:: English

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