Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/8663
Title: A Multi-Objective Robust Aircraft Wing Shape Optimization Approach
Authors: Demir G.
Görgülüarslan, Recep Muhammet
Aradag S.
Keywords: Aerodynamics
Aviation
Computational efficiency
Computational fluid dynamics
Multiobjective optimization
Radial basis function networks
Shape optimization
Turbulence models
Uncertainty analysis
Wings
Design Exploration
Design parameters
Design variables
Exploration methods
Multi objective
Optimization approach
Robust aerodynamic shape optimizations
Shape optimization problem
Shape-optimization
Uncertainty
Principal component analysis
Issue Date: 2021
Publisher: American Institute of Aeronautics and Astronautics Inc, AIAA
Source: Demir, G., Görgülüarslan, R., & Aradag, S. (2021). A Multi-Objective Robust Aircraft Wing Shape Optimization Approach. In AIAA AVIATION 2021 FORUM (p. 3045).
Abstract: A robust aerodynamic shape optimization problem is one of the most challenging processes due to the high number of design parameters. The consideration of uncertainties causes a considerable computational burden. Therefore, the reduction of the number of required design variables has a significant impact on computational efficiency. In this study, Proper Orthogonal Decomposition (POD) method is utilized to extract the essential feature of the design variables for an aircraft wing geometry. The design exploration is conducted with the reduced-order parametric model constructed with POD rather than using the more complex or high-dimensional system. The Radial Basis Function (RBF) interpolation technique is implemented to estimate the unknown field available in the design space. Model-form uncertainties originating from the turbulence model required for the CFD analyses are determined using the eigenspace perturbation methodology. Robust solutions that satisfy the design requirements are obtained while taking uncertainties into account using Inductive Design Exploration Method (IDEM). The results of the case study show that geometric filtration using POD-RBF based IDEM computation approach is an alternative multi-objective robust optimization framework. © 2021, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
Description: AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2021 -- 2 August 2021 through 6 August 2021 -- -- 273499
URI: https://doi.org/10.2514/6.2021-3045
https://hdl.handle.net/20.500.11851/8663
ISBN: 9781624106101
Appears in Collections:Makine Mühendisliği Bölümü / Department of Mechanical Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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