Multi-fidelity design optimization of transonic airfoils using physics-based surrogate modeling and shape-preserving response prediction

A computationally efficient design methodology for transonic airfoil optimization has been developed. In the optimization process, a numerically cheap physics-based low-fidelity surrogate (the transonic small-disturbance equation) is used in lieu of an accurate, but computationally expensive, high-f...

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Veröffentlicht in:Journal of computational science Jg. 1; H. 2; S. 98 - 106
Hauptverfasser: Leifsson, Leifur, Koziel, Slawomir
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.06.2010
Schlagworte:
Aerodynamics
Airfoil shape optimization
Design optimization
Surrogate models
Aerodynamics
Airfoil shape optimization
Surrogate models
Design optimization
ISSN:1877-7503, 1877-7511
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Zusammenfassung:A computationally efficient design methodology for transonic airfoil optimization has been developed. In the optimization process, a numerically cheap physics-based low-fidelity surrogate (the transonic small-disturbance equation) is used in lieu of an accurate, but computationally expensive, high-fidelity (the compressible Euler equations) simulation model. Correction of the low-fidelity model is achieved by aligning its corresponding airfoil surface pressure distribution with that of the high-fidelity model using a shape-preserving response prediction technique. The resulting method requires only a single high-fidelity simulation per iteration of the design process. The method is applied to airfoil lift maximization in two-dimensional inviscid transonic flow, subject to constraints on shock-induced pressure drag and airfoil cross-sectional area. The results showed that more than a 90% reduction in high-fidelity function calls was achieved when compared to direct high-fidelity model optimization using a pattern-search algorithm.
ISSN:1877-7503
1877-7511
DOI:10.1016/j.jocs.2010.03.007