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Reducing Design Risk Using Robust Design Methods: A Dual Response Surface ApproachSpace transportation system conceptual design is a multidisciplinary process containing considerable element of risk. Risk here is defined as the variability in the estimated (output) performance characteristic of interest resulting from the uncertainties in the values of several disciplinary design and/or operational parameters. Uncertainties from one discipline (and/or subsystem) may propagate to another, through linking parameters and the final system output may have a significant accumulation of risk. This variability can result in significant deviations from the expected performance. Therefore, an estimate of variability (which is called design risk in this study) together with the expected performance characteristic value (e.g. mean empty weight) is necessary for multidisciplinary optimization for a robust design. Robust design in this study is defined as a solution that minimizes variability subject to a constraint on mean performance characteristics. Even though multidisciplinary design optimization has gained wide attention and applications, the treatment of uncertainties to quantify and analyze design risk has received little attention. This research effort explores the dual response surface approach to quantify variability (risk) in critical performance characteristics (such as weight) during conceptual design.
Document ID
20030020833
Acquisition Source
Headquarters
Document Type
Other
Authors
Unal, Resit (Old Dominion Univ. VA, United States)
Yeniay, Ozgur (Hacettepe Univ. Ankara, Turkey)
Lepsch, Roger A. (NASA Langley Research Center Hampton, VA, United States)
Date Acquired
September 7, 2013
Publication Date
March 1, 2003
Subject Category
Aircraft Design, Testing And Performance
Funding Number(s)
PROJECT: ODU Proj. 113091
CONTRACT_GRANT: NAG1-01086
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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