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Two-Level Multi-Fidelity Design Optimization Studies for Supersonic Jets
 

Summary: Two-Level Multi-Fidelity Design Optimization Studies
for Supersonic Jets
Seongim Choi
, Juan J. Alonso
, and Ilan M. Kroo
Stanford University, Stanford, CA 94305, U.S.A
The conceptual/preliminary design of superonic jet configurations requires multi-disciplinary
analyses (MDAs) tools which are able to provide a level of flexibility that permits the explo-
ration of large areas of the design space. High-fidelity analysis for each discipline is desired
for credible results, however, corresponding computational cost can be prohibitively expen-
sive often limiting the 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,
multi-fidelity approach in MDAs and demonstrated, in previous work, its application to
the design optimization of low-boom supersonic business jet. In this paper we extend our
multi-fidelity approach to the design procedure and present two-level design of a super-
sonic business jet configuration where we combine a conceptual low-fidelity optimization
tool with a hierarchy of flow solvers of increasing fidelity and advanced adjoint-based Se-
quential Quadratic Programming (SQP) optimization approaches. In this work, we focus
on the aerodynamic performance aspects alone: no attempt is made to reduce the acous-
tic signature. The results show that this particular combination of modeling and design

  

Source: Alonso, Juan J. - Department of Aeronautics and Astronautics, Stanford University

 

Collections: Engineering