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Gradient Projection, Constraints and Surface Regularization Methods in Adjoint Shape Optimization Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Aerodynamic Shape Optimization by Considering Geometrical Imperfections Using Polynomial Chaos Expansion and Evolutionary Algorithms

Authors : Athanasios G. Liatsikouras, Varvara G. Asouti, Kyriakos Giannakoglou, Guillaume Pierrot

Published in: Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems

Publisher: Springer International Publishing

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Abstract

Uncertainties, in the form of either non–predictable shape imperfections (manufacturing uncertainties) or flow conditions which are not fixed (environmental uncertainties) are involved in all aerodynamic shape optimization problems. In this paper, a workflow for performing aerodynamic shape optimization under uncertainties, by taking manufacturing uncertainties into account is proposed. The uncertainty quantification (UQ) for the objective function is carried out based on the non–intrusive Polynomial Chaos Expansion (niPCE) method which relies upon the CFD software as a black–box tool. PCE is combined with an evolutionary algorithm optimization platform. CAD–free techniques are used to control the shape and simultaneously generate shape imperfections; next to this, a morphing/smoothing tool adapts the CFD mesh to any new shape. In the cases presented in this paper, all CFD evaluations are performed in the OpenFOAM environment.

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previous chapter Industrial Application of Genetic Algorithms to Cost Reduction of a Wind Turbine Equipped with a Tuned Mass Damper
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Metadata
Title
Aerodynamic Shape Optimization by Considering Geometrical Imperfections Using Polynomial Chaos Expansion and Evolutionary Algorithms
Authors
Athanasios G. Liatsikouras
Varvara G. Asouti
Kyriakos Giannakoglou
Guillaume Pierrot
Copyright Year
2019
Book
Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems

Print ISBN: 978-3-319-89889-6

Electronic ISBN: 978-3-319-89890-2

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-89890-2_28

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