Two-Level Multifidelity Design Optimization Studies for Supersonic Jets

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The conceptual/preliminary design of supersonic jet configurations requires multidisciplinary analyses tools, which are able to provide a level of flexibility that permits the exploration of large areas of the design space. High-fidelity analysis for each discipline is desired for credible results; however, the corresponding computational cost can be prohibitively expensive, often limiting the ability to make drastic modifications to the aircraft configuration in question. Our work has progressed in this area, and we have introduced a truly hybrid, multifidelity approach in multidisciplinary analyses and demonstrated, in previous work, its application to the design optimization of a low-boom supersonic business jet. In this paper, we extend our multifidelity approach to the design procedure and present a two-level design of a supersonic business-jet configuration, in which we combine a conceptual low-fidelity optimization tool with a hierarchy of flow solvers of increasing fidelity and advanced adjoint-based sequential quadratic programming optimization approaches. In this work, we focus on the aerodynamic performance aspects alone: no attempt is made to reduce the acoustic signature. The results show that this particular combination of modeling and design techniques is quite effective for our design problem and the ones in general and that high-fidelity aerodynamic shape optimization techniques for complex configurations (such as the adjoint method) can be effectively used within the context of a truly multidisciplinary design environment. Detailed configuration results of our optimizations are also presented.
Publisher
AMER INST AERONAUT ASTRONAUT
Issue Date
2009
Language
English
Article Type
Article; Proceedings Paper
Keywords

ADJOINT FORMULATION; PARALLEL COMPUTERS

Citation

JOURNAL OF AIRCRAFT, v.46, no.3, pp.776 - 790

ISSN
0021-8669
DOI
10.2514/1.34362
URI
http://hdl.handle.net/10203/99046
Appears in Collection
ME-Journal Papers(저널논문)
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