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Turbulence modelling techniques for aeroelastic problems: results and comments from the Second AIAA Aeroelastic Prediction Workshop

Marcello Righi (IMES, Zurcher Hochschule fur Angewandte Wissenschaften, Winterthur, Switzerland)

Aircraft Engineering and Aerospace Technology

ISSN: 0002-2667

Article publication date: 4 September 2017

122

Abstract

Purpose

The quality of aeroelastic predictions strongly depends on the quality of aerodynamic predictions. At the boundary of a typical flight envelope, special flow conditions may arise, which challenge the conventional Reynolds-averaged Navier–Stokes (RANS) approach beyond reasonable limits.

Design/methodology/approach

Test Case 3 of the Second AIAA Aeroelastic Prediction Workshop is a representative test case, where the flow over a supercritical wing separates downstream of the shock waves and generates large turbulent lengthscales.

Findings

In this study, RANS predictions are compared to those obtained in this particular test case with the more sophisticated hybrid RANS–large eddy simulation (LES) approach, in particular with the Spalart–Allmaras–delayed detached eddy simulation model. Results are indeed closer to experimental data.

Originality/value

However, the costs associated with this approach are much higher. It is argued that adopting hybrid RANS–LES modelling is not a simple model switch.

Keywords

Acknowledgements

The author gratefully acknowledges the support provided in the many interesting discussions with Jennifer Heeg, Dave Schuster and Pawel Chwalowksi (NASA Langley); Daniella Raveh (Technion); Alessandro Scotti (Pilatus Aircraft); and the other participants to the Second AIAA Aeroelastic Prediction Workshop.

Citation

Righi, M. (2017), "Turbulence modelling techniques for aeroelastic problems: results and comments from the Second AIAA Aeroelastic Prediction Workshop", Aircraft Engineering and Aerospace Technology, Vol. 89 No. 5, pp. 683-691. https://doi.org/10.1108/AEAT-01-2017-0051

Publisher

:

Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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