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Efficient Global Optimization of a Natural Laminar Airfoil Based on Surrogate Modeling

Li, Chunna and Görtz, Stefan and Brezillon, Joel (2014) Efficient Global Optimization of a Natural Laminar Airfoil Based on Surrogate Modeling. In: New Results in Numerical and Experimental Fluid Mechanics IX Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 124. Springer. pp. 53-63. ISBN 978-3-319-03157-6. ISSN 1612-2909

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Abstract

Surrogate-based optimization and efficient global optimization in particular, is considered for aerodynamic design and analysis to deal with some of the drawbacks of classical direct optimization methods. Design of Experiment methods, optimization algorithms, various surrogate modeling methodologies, adaptive sample refinement strategies, multiple criteria for terminating the refinement procedure and several other techniques, are developed and integrated into a practical optimization framework. To search the design space globally and efficiently, several adaptive sample refinement strategies are studied and compared. Two test cases, minimizing the drag of a NLF0416 airfoil with ten design variables and optimizing the performance of a laminar profile with 26 design variables at two design points, are performed. The results indicate that the developed optimization methodology in combination with the adaptive sample refinement strategies features a good balance between global exploration and local exploitation. Additionally, the effect of different design points on the objective function can be automatically considered in the refinement procedure.

Item URL in elib:https://elib.dlr.de/88104/
Document Type:Contribution to a Collection
Title:Efficient Global Optimization of a Natural Laminar Airfoil Based on Surrogate Modeling
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Li, ChunnaChunna.li (at) dlr.deUNSPECIFIED
Görtz, StefanStefan.Goertz (at) dlr.deUNSPECIFIED
Brezillon, JoelJoel.Brezillon (at) dlr.deUNSPECIFIED
Date:2014
Journal or Publication Title:New Results in Numerical and Experimental Fluid Mechanics IX
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:124
Page Range:pp. 53-63
Editors:
EditorsEmail
Dillmann, AndreasUNSPECIFIED
Heller, GerdUNSPECIFIED
Krämer, EwaldUNSPECIFIED
Kreplin, Hans-PeterUNSPECIFIED
Nitsche, WolfgangUNSPECIFIED
Rist, UlrichUNSPECIFIED
Publisher:Springer
Series Name:Notes on Numerical Fluid Mechanics and Multidisciplinary Design
ISSN:1612-2909
ISBN:978-3-319-03157-6
Status:Published
Keywords:efficient global optimization, optimization framework, surrogate modeling, adaptive sample refinement
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Simulation and Validation
Location: Braunschweig
Institutes and Institutions:Institute of Aerodynamics and Flow Technology > C²A²S²E - Center for Computer Applications in AeroSpace Science and Engineering
Institute of Aerodynamics and Flow Technology > Transport Aircraft
Deposited By: Görtz, Stefan
Deposited On:25 Mar 2014 09:02
Last Modified:27 Feb 2015 11:28

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