DNS 1-6: Difference between revisions
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= Abstract = | = Abstract = | ||
This entry features | This entry features the flow around a 3D wing-body junction based on the configuration considered in [[lib:DNS_1-6#1|Apsley & Leschziner (2001)]], which geometry consists in a semi-elliptical 3:2 nose with a NACA0020 tail profile mounted on a flat plate. The wing-body junction flow problems are relevant for the prediction of corner flow separation encountered in applications of aeronautical interest. This flow is highly 3D and anisotropic regarding the turbulent stresses, which poses a challenge to existing RANS modeling approaches. | ||
An under-resolved Direct Numerical Simulation (uDNS) of this test case has been computed using the high-order discontinuous Galerkin (DG) code MIGALE, see [[lib:DNS_1-6#2|Bassi ''et al.'' (2016)]]. The code couples the DG space discretization with a high-order implicit time integration, which relies on Rosenbrock schemes. | |||
The present database has been created with the aim to allow for a more thorough availability of the flow field with respect to existing experiments and to be exploited by Machine Learning or data-assimilation techniques to improve standard RANS models. | The present database has been created with the aim to allow for a more thorough availability of the flow field with respect to existing experiments and to be exploited by Machine Learning or data-assimilation techniques to improve standard RANS models. | ||
Revision as of 13:41, 16 February 2023
Lib:Wing-body junction
Abstract
This entry features the flow around a 3D wing-body junction based on the configuration considered in Apsley & Leschziner (2001), which geometry consists in a semi-elliptical 3:2 nose with a NACA0020 tail profile mounted on a flat plate. The wing-body junction flow problems are relevant for the prediction of corner flow separation encountered in applications of aeronautical interest. This flow is highly 3D and anisotropic regarding the turbulent stresses, which poses a challenge to existing RANS modeling approaches.
An under-resolved Direct Numerical Simulation (uDNS) of this test case has been computed using the high-order discontinuous Galerkin (DG) code MIGALE, see Bassi et al. (2016). The code couples the DG space discretization with a high-order implicit time integration, which relies on Rosenbrock schemes.
The present database has been created with the aim to allow for a more thorough availability of the flow field with respect to existing experiments and to be exploited by Machine Learning or data-assimilation techniques to improve standard RANS models.
The provided statistical quantities in the database are:
- mean pressure and velocity components;
- Reynolds stress components;
- Taylor microscale;
- Kolmogorov length and time scales;
As the solver discretizes the compressible Navier-Stokes equations, density and temperature fields, as well their gradients, have been collected during the computational campaign. However, since the flow regime is incompressible (), these fields are a side product of this contribution and thus are not reported.
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| Figure 1: Wing-body junction, Re=115,000. Detail of the instantaneous skin friction magnitude at the leading edge of the blade using MIGALE with DG P3 (~1.08 billion DoF/eqn). |
University of Bergamo acknowledges PRACE for awarding the access to Hawk hosted by GCS at HLRS, Germany.
References
- Apsley, D.D. and Leschziner, M. (2001): Investigation of Advanced Turbulence Models for the Flow in a Generic Wing-Body Junction. Flow, Turbulence and Combustion, Vol. 67, pp. 25–55
- Bassi, F., Botti, L., Colombo, A. C, Ghidoni, A. and Massa, F. (2016): On the development of an implicit high-order Discontinuous Galerkin method for DNS and implicit LES of turbulent flows. European Journal of Mechanics, B/Fluids, Vol. 55(2), pp. 367-379
Contributed by: Francesco Bassi (UNIBG), Alessandro Colombo (UNIBG), Francesco Carlo Massa (UNIBG), Jean-Baptiste Chapelier (ONERA) — University of Bergamo (UNIBG), ONERA
© copyright ERCOFTAC 2024