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Multi-fidelity robust aerodynamic design optimization under mixed uncertainty

Abstrakt

The objective of this paper is to present a robust optimization algorithm for computationally efficient airfoil design under mixed (inherent and epistemic) uncertainty using a multi-fidelity approach. This algorithm exploits stochastic expansions derived from the Non-Intrusive Polynomial Chaos (NIPC) technique to create surrogate models utilized in the optimization process. A combined NIPC expansion approach is used, where both the design and the mixed uncertain parameters are the independent variables of the surrogate model. To reduce the computational cost, the high-fidelity Computational Fluid Dynamics (CFD) model is replaced by a suitably corrected low-fidelity one, the latter being evaluated using the same CFD solver but with a coarser mesh. The model correction is implemented to the low-fidelity CFD solutions utilized for the construction of stochastic surrogate by using multi-point Output Space Mapping (OSM) technique. The proposed algorithm is applied to the design of NACA 4-digit airfoils with four deterministic design variables (the airfoil shape parameters and the angle of attack), one aleatory uncertain variable (the Mach number) and one epistemic variable (β, a geometry parameter) to demonstrate robust optimization under mixed uncertainties. In terms of computational cost, the proposed technique outperforms the conventional approach that exclusively uses the high-fidelity model to create the surrogates. The design cost reduces to only 34 equivalent high-fidelity model evaluations versus 168 obtained with the conventional method.

Cytowania

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Autorzy (5)

Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuł w czasopiśmie wyróżnionym w JCR
Opublikowano w:
AEROSPACE SCIENCE AND TECHNOLOGY nr 45, strony 17 - 29,
ISSN: 1270-9638
Język:
angielski
Rok wydania:
2015
Opis bibliograficzny:
Shah H., Hosder S., Kozieł S., Tesfahunegn Y., Leifsson L.: Multi-fidelity robust aerodynamic design optimization under mixed uncertainty// AEROSPACE SCIENCE AND TECHNOLOGY. -Vol. 45, (2015), s.17-29
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1016/j.ast.2015.04.011
Weryfikacja:
Politechnika Gdańska

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