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Erschienen in:
Numerical Aspects of Model Order Reduction for Gas Transportation Networks Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Fast Multi-Objective Aerodynamic Optimization Using Space-Mapping-Corrected Multi-Fidelity Models and Kriging Interpolation

verfasst von : Leifur Leifsson, Slawomir Koziel, Yonatan Tesfahunegn, Adrian Bekasiewicz

Erschienen in: Simulation-Driven Modeling and Optimization

Verlag: Springer International Publishing

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Abstract

The chapter describes a computationally efficient procedure for multi-objective aerodynamic design optimization with multi-fidelity models, corrected using space mapping, and kriging interpolation. The optimization procedure utilizes a multi-objective evolutionary algorithm to generate an initial Pareto front which is subsequently refined iteratively using local enhancements of the kriging-based surrogate model. The refinements are realized with space mapping response correction based on a limited number of high-fidelity training points allocated along the initial Pareto front. The method yields—at a low computational cost—a set of designs representing trade-offs between the conflicting objectives. We demonstrate the approach using examples of airfoil design, one in transonic flow and another one in low-speed flow, in low-dimensional design spaces.

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Vorheriges Kapitel Parameter Studies for Energy Networks with Examples from Gas Transport
Nächstes Kapitel Assessment of Inverse and Direct Methods for Airfoil and Wing Design
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Metadaten
Titel
Fast Multi-Objective Aerodynamic Optimization Using Space-Mapping-Corrected Multi-Fidelity Models and Kriging Interpolation
verfasst von
Leifur Leifsson
Slawomir Koziel
Yonatan Tesfahunegn
Adrian Bekasiewicz
Copyright-Jahr
2016
Buch
Simulation-Driven Modeling and Optimization

Print ISBN: 978-3-319-27515-4

Electronic ISBN: 978-3-319-27517-8

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-27517-8_3