Variable-fidelity CFD models and co-Kriging for expedited multi-objective aerodynamic design optimization
Abstract
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.
Citations
-
1 6
CrossRef
-
0
Web of Science
-
2 0
Scopus
Authors (3)
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
ENGINEERING COMPUTATIONS
no. 33,
pages 2320 - 2338,
ISSN: 0264-4401 - Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- 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:
- Digital Object Identifier (open in new tab) 10.1108/ec-09-2015-0277
- Verified by:
- Gdańsk University of Technology
seen 140 times
Recommended for you
Expedited constrained multi-objective aerodynamic shape optimization by means of physics-based surrogates
- S. Kozieł,
- Y. Tesfahunegn,
- L. Leifsson
Multi-fidelity robust aerodynamic design optimization under mixed uncertainty
- H. Shah,
- S. Hosder,
- S. Kozieł
- + 2 authors
Variable-fidelity shape optimization of dual-rotor wind turbines
- T. Andrew,
- L. Leifur,
- S. Anupam
- + 1 authors