Variable-fidelity CFD models and co-Kriging for expedited multi-objective aerodynamic design optimization - Publikacja - MOST Wiedzy

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Variable-fidelity CFD models and co-Kriging for expedited multi-objective aerodynamic design optimization

Abstrakt

Purpose – Strategies for accelerated multi-objective optimization of aerodynamic surfaces are investigated, including the possibility of exploiting surrogate modeling techniques for computational fluid dynamic (CFD)-driven design speedup of such surfaces. The purpose of this paper is to reduce the overall optimization time. Design/methodology/approach – An algorithmic framework is described that is composed of: a search space reduction, fast surrogate models constructed using variable-fidelity CFD models and co-Kriging, and Pareto front refinement. Numerical case studies are provided demonstrating the feasibility of solving real-world problems involving multi-objective optimization of transonic airfoil shapes and accurate CFD simulation models of such surfaces. Findings – It is possible, through appropriate combination of surrogate modeling techniques and variable-fidelity models, to identify a set of alternative designs representing the best possible trade-offs between conflicting design objectives in a realistic time frame corresponding to a few dozen of highfidelity CFD simulations of the respective surfaces. Originality/value – The proposed aerodynamic design optimization algorithmic framework is novel and holistic. It proved useful for fast design of aerodynamic surfaces using high-fidelity simulation data in moderately sized search space, which is extremely challenging when using conventional methods due to the excessive computational cost.

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Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuł w czasopiśmie wyróżnionym w JCR
Opublikowano w:
ENGINEERING COMPUTATIONS nr 33, strony 2320 - 2338,
ISSN: 0264-4401
Język:
angielski
Rok wydania:
2016
Opis bibliograficzny:
Kozieł S., Tesfahunegn Y., Leifsson L.: Variable-fidelity CFD models and co-Kriging for expedited multi-objective aerodynamic design optimization// ENGINEERING COMPUTATIONS. -Vol. 33, nr. 8 (2016), s.2320-2338
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1108/ec-09-2015-0277
Weryfikacja:
Politechnika Gdańska

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