The University of Southampton
University of Southampton Institutional Repository

Benchmarking the prediction of dynamic derivatives: wind tunnel tests, validation, acceleration methods

Benchmarking the prediction of dynamic derivatives: wind tunnel tests, validation, acceleration methods
Benchmarking the prediction of dynamic derivatives: wind tunnel tests, validation, acceleration methods
The dynamic derivatives are widely used in linear aerodynamic models which are considered to determine the flying qualities of an aircraft: the ability to predict them reliably, quickly and sufficiently early in the design process is more and more important, in order to avoid late and costly component redesigns. This paper describes some experimental and computational activities dealing with the determination of dynamic derivatives. The work has been carried out within the FP6 European project SimSAC. Numerical and experimental results are compared for two aircraft configurations: the generic civil transport aircraft, wing-fuselage-tail configuration DLR-F12 and a generic Transonic CRuiser (TCR), which is a canard configuration. Static and dynamic wind tunnel tests have been carried out for both configurations and are briefly described. The data base generated for the DLR-F12 configuration includes force and pressure coefficients obtained during small amplitude pitch, roll and yaw oscillations while the data base for the TCR configuration includes force coefficients for small amplitude oscillations, dedicated to the determination of dynamic derivatives, and large amplitude oscillations, in order to investigate the dynamic effects on nonlinear aerodynamic characteristics. The influence of the canard has been investigated too. Dynamic derivatives have been determined on both configurations with a large panel of tools, from linear aerodynamic (Vortex Lattice Methods) to CFD (unsteady Reynolds-Averaged Navier-Stokes solvers). The study confirms that an increase in fidelity level enables dynamic derivatives to be better calculated. Linear aerodynamics (VLM) tools can give satisfactory results but are very sensitive to the geometry/mesh input data. Although all the quasi-steady CFD approaches give very comparable results (robustness) on steady dynamic derivatives, they do not allow the prediction of unsteady components of the dynamic derivatives (angular derivatives w.r.t. time): this can be done with either a fully unsteady approach (with a time-marching scheme) or with Frequency Domain solvers, both of them giving very comparable results for the DLR-F12 test case. As far as the canard configuration is concerned; strong limitations of linear aerodynamic tools are observed. A specific attention is paid to acceleration techniques in CFD methods, which allow the computational time to be dramatically reduced while keeping a satisfactory accuracy.
978-1-62410-151-9
Mialon, B.
32a4fde9-ec77-445b-ab19-ab4b1f986143
Khrabrov, A.
1f27663e-6f2f-413c-bd44-56d17e0a9d3c
Da Ronch, A.
a2f36b97-b881-44e9-8a78-dd76fdf82f1a
Badcock, K. J.
64c4dc5d-1f2f-4358-af31-f6506c1810ef
Cavagna, L.
4efe830e-23cf-4532-a218-1fdeb46c53ef
Eliasson, P.
bb04d639-c438-4f5a-9494-83bc900f5a30
Zhang, M.
e4ab68e1-4890-4c79-9301-f0cc8dda8298
Ricci, S.
4c1b0ccc-bce4-4709-a81c-df703caec186
Huebner, A.
58ab9268-c552-430f-8a49-d813d2f73703
Khelil, S. B.
18170d11-4915-45bc-8bfc-153d369f7f1e
Jouhaud, J.-C.
b6000c01-3870-4295-9a93-2e0d3993c9d2
Rogé, G.
99a7f7dd-585a-41fc-b2d4-264b843c64e7
Hitzel, S.
ed29cfda-2a10-4b32-a489-b5e4330177fb
Lahuta, M.
07d6d29a-f6cb-4ae7-b6a7-ee604e9b288d
Mialon, B.
32a4fde9-ec77-445b-ab19-ab4b1f986143
Khrabrov, A.
1f27663e-6f2f-413c-bd44-56d17e0a9d3c
Da Ronch, A.
a2f36b97-b881-44e9-8a78-dd76fdf82f1a
Badcock, K. J.
64c4dc5d-1f2f-4358-af31-f6506c1810ef
Cavagna, L.
4efe830e-23cf-4532-a218-1fdeb46c53ef
Eliasson, P.
bb04d639-c438-4f5a-9494-83bc900f5a30
Zhang, M.
e4ab68e1-4890-4c79-9301-f0cc8dda8298
Ricci, S.
4c1b0ccc-bce4-4709-a81c-df703caec186
Huebner, A.
58ab9268-c552-430f-8a49-d813d2f73703
Khelil, S. B.
18170d11-4915-45bc-8bfc-153d369f7f1e
Jouhaud, J.-C.
b6000c01-3870-4295-9a93-2e0d3993c9d2
Rogé, G.
99a7f7dd-585a-41fc-b2d4-264b843c64e7
Hitzel, S.
ed29cfda-2a10-4b32-a489-b5e4330177fb
Lahuta, M.
07d6d29a-f6cb-4ae7-b6a7-ee604e9b288d

Mialon, B., Khrabrov, A., Da Ronch, A., Badcock, K. J., Cavagna, L., Eliasson, P., Zhang, M., Ricci, S., Huebner, A., Khelil, S. B., Jouhaud, J.-C., Rogé, G., Hitzel, S. and Lahuta, M. (2010) Benchmarking the prediction of dynamic derivatives: wind tunnel tests, validation, acceleration methods. AIAA Atmospheric Flight Mechanics Conference, Toronto, Canada. 02 - 05 Aug 2010. (doi:10.2514/6.2010-8244).

Record type: Conference or Workshop Item (Paper)

Abstract

The dynamic derivatives are widely used in linear aerodynamic models which are considered to determine the flying qualities of an aircraft: the ability to predict them reliably, quickly and sufficiently early in the design process is more and more important, in order to avoid late and costly component redesigns. This paper describes some experimental and computational activities dealing with the determination of dynamic derivatives. The work has been carried out within the FP6 European project SimSAC. Numerical and experimental results are compared for two aircraft configurations: the generic civil transport aircraft, wing-fuselage-tail configuration DLR-F12 and a generic Transonic CRuiser (TCR), which is a canard configuration. Static and dynamic wind tunnel tests have been carried out for both configurations and are briefly described. The data base generated for the DLR-F12 configuration includes force and pressure coefficients obtained during small amplitude pitch, roll and yaw oscillations while the data base for the TCR configuration includes force coefficients for small amplitude oscillations, dedicated to the determination of dynamic derivatives, and large amplitude oscillations, in order to investigate the dynamic effects on nonlinear aerodynamic characteristics. The influence of the canard has been investigated too. Dynamic derivatives have been determined on both configurations with a large panel of tools, from linear aerodynamic (Vortex Lattice Methods) to CFD (unsteady Reynolds-Averaged Navier-Stokes solvers). The study confirms that an increase in fidelity level enables dynamic derivatives to be better calculated. Linear aerodynamics (VLM) tools can give satisfactory results but are very sensitive to the geometry/mesh input data. Although all the quasi-steady CFD approaches give very comparable results (robustness) on steady dynamic derivatives, they do not allow the prediction of unsteady components of the dynamic derivatives (angular derivatives w.r.t. time): this can be done with either a fully unsteady approach (with a time-marching scheme) or with Frequency Domain solvers, both of them giving very comparable results for the DLR-F12 test case. As far as the canard configuration is concerned; strong limitations of linear aerodynamic tools are observed. A specific attention is paid to acceleration techniques in CFD methods, which allow the computational time to be dramatically reduced while keeping a satisfactory accuracy.

Text
AIAA-2010-8244.pdf - Author's Original
Download (3MB)

More information

Published date: August 2010
Venue - Dates: AIAA Atmospheric Flight Mechanics Conference, Toronto, Canada, 2010-08-02 - 2010-08-05
Organisations: Aerodynamics & Flight Mechanics Group

Identifiers

Local EPrints ID: 351805
URI: http://eprints.soton.ac.uk/id/eprint/351805
ISBN: 978-1-62410-151-9
PURE UUID: 9c9a6d07-8fd5-490d-b7e9-bf78fae868b5
ORCID for A. Da Ronch: ORCID iD orcid.org/0000-0001-7428-6935

Catalogue record

Date deposited: 30 Apr 2013 15:55
Last modified: 15 Mar 2024 03:46

Export record

Altmetrics

Contributors

Author: B. Mialon
Author: A. Khrabrov
Author: A. Da Ronch ORCID iD
Author: K. J. Badcock
Author: L. Cavagna
Author: P. Eliasson
Author: M. Zhang
Author: S. Ricci
Author: A. Huebner
Author: S. B. Khelil
Author: J.-C. Jouhaud
Author: G. Rogé
Author: S. Hitzel
Author: M. Lahuta

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×