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Linear frequency domain and harmonic balance predictions of dynamic derivatives

Linear frequency domain and harmonic balance predictions of dynamic derivatives
Linear frequency domain and harmonic balance predictions of dynamic derivatives
Dynamic derivatives are used to represent the influence of the aircraft rates on the aerodynamic forces and moments needed for flight dynamics studies. These values have traditionally been estimated by processing measurements made from periodic forced motions applied to wind tunnel models. The use of Computational Fluid Dynamics has potential to supplement this approach. This paper considers the problem of the fast computation of forced periodic motions using the Euler equations. Three methods are evaluated. The first is computation in the time domain, and this provides the benchmark solution in the sense that the time accurate solution is obtained. Two acceleration techniques in the frequency domain are compared. The first uses an harmonic solution of the linearised problem referred to as the linear frequency domain approach). The second uses the Harmonic Balance method, which approximates the nonlinear problem using a number of Fourier modes. These approaches are compared in the sense of their ability to predict dynamic derivatives and their computational cost. The standard NACA aerofoil CT cases, the SDM fighter model geometry and the DLR F12 passenger jet wind tunnel model are used as test cases. Compared to time accurate simulations an order of magnitude reduction in CPU costs is achieved for flows with a narrow frequency spectrum and moderate amplitudes, as the solution does not evolve through transients to reach periodicity.
978-1-62410-141-0
Da Ronch, A.
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Badcock, K. J.
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Ghoreyshi, M.
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Görtz, S.
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Widhalm, M.
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Dwight, R.
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Da Ronch, A.
a2f36b97-b881-44e9-8a78-dd76fdf82f1a
Badcock, K. J.
64c4dc5d-1f2f-4358-af31-f6506c1810ef
Ghoreyshi, M.
e43d6179-9d81-4c53-9057-9c7f8ec588fb
Görtz, S.
910c4492-643f-4252-bda2-d14a9eac9dff
Widhalm, M.
e4813d03-1e0d-41b6-a46e-70e5d4cdebc8
Dwight, R.
4d0b9ef5-ea25-4b48-98c8-b6ac48d5b418

Da Ronch, A., Badcock, K. J., Ghoreyshi, M., Görtz, S., Widhalm, M. and Dwight, R. (2010) Linear frequency domain and harmonic balance predictions of dynamic derivatives. 28th AIAA Applied Aerodynamics Conference, Chicago, United States. 28 Jun - 01 Jul 2010. 29 pp . (doi:10.2514/6.2010-4699).

Record type: Conference or Workshop Item (Paper)

Abstract

Dynamic derivatives are used to represent the influence of the aircraft rates on the aerodynamic forces and moments needed for flight dynamics studies. These values have traditionally been estimated by processing measurements made from periodic forced motions applied to wind tunnel models. The use of Computational Fluid Dynamics has potential to supplement this approach. This paper considers the problem of the fast computation of forced periodic motions using the Euler equations. Three methods are evaluated. The first is computation in the time domain, and this provides the benchmark solution in the sense that the time accurate solution is obtained. Two acceleration techniques in the frequency domain are compared. The first uses an harmonic solution of the linearised problem referred to as the linear frequency domain approach). The second uses the Harmonic Balance method, which approximates the nonlinear problem using a number of Fourier modes. These approaches are compared in the sense of their ability to predict dynamic derivatives and their computational cost. The standard NACA aerofoil CT cases, the SDM fighter model geometry and the DLR F12 passenger jet wind tunnel model are used as test cases. Compared to time accurate simulations an order of magnitude reduction in CPU costs is achieved for flows with a narrow frequency spectrum and moderate amplitudes, as the solution does not evolve through transients to reach periodicity.

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Published date: June 2010
Venue - Dates: 28th AIAA Applied Aerodynamics Conference, Chicago, United States, 2010-06-28 - 2010-07-01
Organisations: Aerodynamics & Flight Mechanics Group

Identifiers

Local EPrints ID: 351818
URI: http://eprints.soton.ac.uk/id/eprint/351818
ISBN: 978-1-62410-141-0
PURE UUID: a16467c8-7db6-4dd9-9706-04a29f44aa30
ORCID for A. Da Ronch: ORCID iD orcid.org/0000-0001-7428-6935

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Date deposited: 02 May 2013 14:15
Last modified: 15 Mar 2024 03:46

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Contributors

Author: A. Da Ronch ORCID iD
Author: K. J. Badcock
Author: M. Ghoreyshi
Author: S. Görtz
Author: M. Widhalm
Author: R. Dwight

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