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Sensitivity of aerodynamic optimization to parameterized target functions

Klein, M. and Sobieczky, H. (2002) Sensitivity of aerodynamic optimization to parameterized target functions. In: Inverse Problems in Engineering Mechanics 1, 3. Elsevier Science, Oxford. ISBN 0-08-043951-9.

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Abstract

Aerodynamic design of high speed airfoils and wings is carried out by a new Genetic Algorithm software and applied to novel configurations like the Oblique Flying Wing. The goal is achieved by establishing a flexible input data generator for both direct and inverse design: geometry and flow quality (pressure distribution) is modelled by a set of analytical functions with parameterized input. The role of these functions and choice of parameters strongly influence the results which is shown here for the Pareto fronts of airfoils and wings with optimum aerodynamic performance. An existing manual design case serves as test case for the new optimization software.

Document Type:Contribution to a Collection
Additional Information: LIDO-Berichtsjahr=2003,
Title:Sensitivity of aerodynamic optimization to parameterized target functions
Authors:
AuthorsInstitution or Email of Authors
Klein, M.UNSPECIFIED
Sobieczky, H.UNSPECIFIED
Date:2002
Journal or Publication Title:Inverse Problems in Engineering Mechanics
Refereed publication:Yes
In ISI Web of Science:No
Volume:3
Editors:
EditorsEmail
Tanaka, M.UNSPECIFIED
Dulikravich, G.S.UNSPECIFIED
Publisher:Elsevier Science, Oxford
Series Name:1
ISBN:0-08-043951-9
Status:Published
Keywords:Aerodynamic Design, Genetic Algorithm, Optimization
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Aeronautics
HGF - Program Themes:Aircraft Research
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Flight Physics
Location: Köln-Porz , Braunschweig , Göttingen
Institutes and Institutions:Institute of Aerodynamics and Flow Technology
Deposited By: elib DLR-Beauftragter
Deposited On:31 Jan 2006
Last Modified:14 Jan 2010 19:19

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