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23rd AIAA Applied Aerodynamics Conference June 69, 2005/Toronto, ON

Summary: 23rd AIAA Applied Aerodynamics Conference
June 69, 2005/Toronto, ON
Multi-Fidelity Design Optimization Studies for
Supersonic Jets Using Surrogate Management Frame
Seongim Choi
, Juan J. Alonso
, Ilan M. Kroo
Stanford University, Stanford, CA 94305
Design of the realistic supersonic jets has been challenging problem. The design space
for a ground boom is known to be non-smooth and discontinuous. Due to those particular
characteristics as such, gradient-based optimizer can not be employed to locate the global
minimum, and gradient-free search method is more suitable for an extensive exploration
in design sites. In this study we employ one of the direct search method, pattern search
method which has been used for a general constrained optimization on filter methods. A
general pattern search (GPS) method38
is the search algorithm which composes of the
search step and the local poll step. Random global search is performed in the search
step. In the poll step, the search directions are selected in a way that they can accelerate
the convergence of search. A filter algorithm is combined with the PS to handle the


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


Collections: Engineering