Fast aerodynamic calculations based on a generalised unsteady coupling algorithm
Fast aerodynamic calculations based on a generalised unsteady coupling algorithm
An aerodynamic model for applications to external flows is formulated that provides a great trade–off between computational cost and prediction accuracy. The novelty of the work is the ability to deal with any unsteady flow problem, irrespective of the frequency of motion and motion kinematics. The aerodynamic model, baptised FALCon, combines an in–house unsteady vortex lattice method with an infinite–swept wing Navier–Stokes solver. The two specialised methods are orchestrated by an unsteady coupling algorithm that represents our main research contribution. The paper gives the formulation and algorithmic implementation. FALCon is demonstrated on three test cases of increasing complexity in flow physics, up to flow conditions well outside its validity range. On average, FALCon achieves a computational speed up of a factor of about 50, compared to a full Navier–Stokes run, while capturing relevant flow physics: three–dimensional, viscous, compressible and unsteady phenomena.
CFD, Computational fluid dynamic (CFD), Data fusion, coupling algorithm, loads, rapid CFD
2916-2934
Kharlamov, Daniel
79b001cf-ae0a-4867-b38b-fcd73bb76bac
Da Ronch, Andrea
a2f36b97-b881-44e9-8a78-dd76fdf82f1a
Drofelnik, Jernej
e785f695-61ef-4afc-bf0a-9dc7966f5516
Walker, Scott
f28a342f-9755-48fd-94ea-09e44ac4dbf5
August 2021
Kharlamov, Daniel
79b001cf-ae0a-4867-b38b-fcd73bb76bac
Da Ronch, Andrea
a2f36b97-b881-44e9-8a78-dd76fdf82f1a
Drofelnik, Jernej
e785f695-61ef-4afc-bf0a-9dc7966f5516
Walker, Scott
f28a342f-9755-48fd-94ea-09e44ac4dbf5
Kharlamov, Daniel, Da Ronch, Andrea, Drofelnik, Jernej and Walker, Scott
(2021)
Fast aerodynamic calculations based on a generalised unsteady coupling algorithm.
AIAA Journal, 59 (8), .
(doi:10.2514/1.J059408).
Abstract
An aerodynamic model for applications to external flows is formulated that provides a great trade–off between computational cost and prediction accuracy. The novelty of the work is the ability to deal with any unsteady flow problem, irrespective of the frequency of motion and motion kinematics. The aerodynamic model, baptised FALCon, combines an in–house unsteady vortex lattice method with an infinite–swept wing Navier–Stokes solver. The two specialised methods are orchestrated by an unsteady coupling algorithm that represents our main research contribution. The paper gives the formulation and algorithmic implementation. FALCon is demonstrated on three test cases of increasing complexity in flow physics, up to flow conditions well outside its validity range. On average, FALCon achieves a computational speed up of a factor of about 50, compared to a full Navier–Stokes run, while capturing relevant flow physics: three–dimensional, viscous, compressible and unsteady phenomena.
Text
AIAAJournal_UnsteadyHybridAlgorithm
- Accepted Manuscript
More information
Accepted/In Press date: 13 January 2021
Published date: August 2021
Additional Information:
Funding Information:
Da Ronch acknowledges the financial support from the Engineering and Physical Sciences Research Council (grant number: EP/P006795/ 1), the Royal Academy of Engineering (grant number: ISS1415/7/44), and Airbus Operations simplified joint-stock company (SAS). The authors acknowledge the use of the IRIDIS High-Performance Computing Facility, and associated support services at the University of Southampton, in the completion of this work. All data supporting this study are openly available from the University of Southampton repository at https://doi.org/10.5258/SOTON/D1717.
Publisher Copyright:
© AIAA International. All rights reserved.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
Keywords:
CFD, Computational fluid dynamic (CFD), Data fusion, coupling algorithm, loads, rapid CFD
Identifiers
Local EPrints ID: 446548
URI: http://eprints.soton.ac.uk/id/eprint/446548
ISSN: 0001-1452
PURE UUID: 21516974-2e76-4d04-b1a0-31998582e654
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Date deposited: 15 Feb 2021 17:30
Last modified: 17 Mar 2024 03:32
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Contributors
Author:
Daniel Kharlamov
Author:
Jernej Drofelnik
Author:
Scott Walker
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