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Free-form Airfoil Shape Optimization Under Uncertainty Using Maximum Expected Value and Second-order Second-moment StrategiesFree-form shape optimization of airfoils poses unexpected difficulties. Practical experience has indicated that a deterministic optimization for discrete operating conditions can result in dramatically inferior performance when the actual operating conditions are different from the - somewhat arbitrary - design values used for the optimization. Extensions to multi-point optimization have proven unable to adequately remedy this problem of "localized optimization" near the sampled operating conditions. This paper presents an intrinsically statistical approach and demonstrates how the shortcomings of multi-point optimization with respect to "localized optimization" can be overcome. The practical examples also reveal how the relative likelihood of each of the operating conditions is automatically taken into consideration during the optimization process. This is a key advantage over the use of multipoint methods.
Document ID
20010067587
Acquisition Source
Langley Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Huyse, Luc (Institute for Computer Applications in Science and Engineering Hampton, VA United States)
Bushnell, Dennis M.
Date Acquired
September 7, 2013
Publication Date
June 1, 2001
Subject Category
Numerical Analysis
Report/Patent Number
NASA/CR-2001-211020
NAS 1.26:211020
ICASE-2001-18
Funding Number(s)
CONTRACT_GRANT: NAS1-97046
PROJECT: RTOP 505-90-52-01
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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