Efficient global optimization for S-duct diffuser shape design

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The efficient global optimization method is a global optimization technique based on the stochastic kriging model to efficiently search the global optimum in a design space. Efficient global optimization selects the next sample point in the view of the probability that a global minimum is located. To present the probability, the efficient global optimization method introduces the expected improvement function. The mean and variance at the untried point provided from the kriging model are used to calculate the expected improvement function. Efficient global optimization selects the maximum expected improvement point as the next sample point. After validating the efficient global optimization method by several test functions, we applied it to a diffusing S-duct shape design problem which needs a computationally expensive turbulent computational fluid dynamics analysis. The design objective is to improve the total pressure recovery of the S-duct. The improved S-duct shape was searched globally through the efficient global optimization method. Our results confirmed that the efficient global optimization method can efficiently provide a meaningful engineering result in the S-duct shape design.
Publisher
SAGE PUBLICATIONS LTD
Issue Date
2013-09
Language
English
Article Type
Review
Keywords

AUTOMATED DESIGN; SUBSONIC DIFFUSER

Citation

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, v.227, no.9, pp.1516 - 1532

ISSN
0954-4100
DOI
10.1177/0954410012457891
URI
http://hdl.handle.net/10203/194210
Appears in Collection
AE-Journal Papers(저널논문)
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