Parametric data-based turbulence modelling for vortex dominated flows. Issue 4 (21st April 2019)

• Record Type: Journal Article
• Authors: Moioli, Matteo; Breitsamter, Christian; Sørensen, Kaare A.
• Is Part Of: International journal of computational fluid dynamics. Volume 33:Issue 4(2019)
• Page Start: 149
• Page End: 170
• Publication Date: 2019-04-21
• Subjects: Turbulence modelling -- CFD -- RANS -- delta wings -- vortex dominated flows -- calibration; Fluid dynamics -- Data processing -- Periodicals; 532.05
• DOI: 10.1080/10618562.2019.1617857
• Languages: English
• ISSNs: 1061-8562

Abstract

ABSTRACT: Computational fluid dynamics simulations employing eddy-viscosity turbulence models remain the baseline numerical tool in the aerospace industry, mainly due to their numerical stability and computational efficiency. However, many industrially relevant cases require a level of accuracy that is not routinely achieved by global turbulence models. The simulation of leading-edge vortices shed at low aspect ratio wings is one such class of flows that remains a challenge for turbulence modelling. A local approach is proposed in which a parametrised eddy-viscosity turbulence model is calibrated using experimental results of configurations and flow conditions similar to the one being analysed. In this paper, the Spalart–Allmaras one-equation model is enhanced with additional source terms, which are exclusively active in the vortex field. An automatic optimisation procedure with experimental data as reference is then applied. The resulting optimised model improves the eddy viscosity distribution for a limited but relevant range of configurations and flow conditions.