Search
Abstract
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.
Citations
-
5 6
CrossRef
-
0
Web of Science
-
6 5
Scopus
Authors (5)
-
Harsheel Shah
- Aerospace Engineering Aerospace Engineering
-
Serhat Hosder
- Aerospace Engineering Aerospace Engineering
-
Yonatan Tesfahunegn
- School of Science and Engineering School of Science and Engineering
-
Leifur Leifsson
- Aerospace Engineering Aerospace Engineering
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
AEROSPACE SCIENCE AND TECHNOLOGY
no. 45,
pages 17 - 29,
ISSN: 1270-9638 - Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- 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:
- Digital Object Identifier (open in new tab) 10.1016/j.ast.2015.04.011
- Verified by:
- Gdańsk University of Technology
seen 152 times
Recommended for you
Expedited constrained multi-objective aerodynamic shape optimization by means of physics-based surrogates
- S. Kozieł,
- Y. Tesfahunegn,
- L. Leifsson
Variable-fidelity CFD models and co-Kriging for expedited multi-objective aerodynamic design optimization
- S. Kozieł,
- Y. Tesfahunegn,
- L. Leifsson
Constrained aerodynamic shape optimization using neural networks and sequential sampling
- P. Koratikere,
- L. Leifsson,
- S. Kozieł
- + 1 authors