Abstract Preliminary design of aircraft wings requires multiple cycles of optimization to compromise the influences from different disciplines and constraints. Surrogate-based optimization is a popular choice in this circumstance because surrogate models can be reused in different cycles once constructed, while gradient-based optimization might be less efficient despite its fast convergence in each cycle. However, surrogate-based optimization suffers from the curse of dimension. The selection of design variables has a big influence on the optimization efficiency and performance. We investigate two different approaches to drag minimization in the design of transonic wings: (1) optimize all the section shapes and their twists independently (2) scale all the wing sections together and optimize them with their twists. We find that surrogate-based optimization by the former approach cannot ensure a better solution in spite of its larger design space. The latter approach is generally more efficient, which is more practical in preliminary design of wings.
Drag Reduction of Transonic Wings with Surrogate-Based Optimization
The Proceedings of the 2018 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2018) ; 2 ; 1065-1080
Lecture Notes in Electrical Engineering ; 459 , 2
2019-01-01
16 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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