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    Bayesian Inference in the Modern Design of Experiments (2008)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: This paper provides an elementary tutorial overview of Bayesian inference and its potential for application in aerospace experimentation in general and wind tunnel testing in particular. Bayes Theorem is reviewed and examples are provided to illustrate how it can be applied to objectively revise prior knowledge by incorporating insights subsequently obtained from additional observations, resulting in new (posterior) knowledge that combines information from both sources. A logical merger of Bayesian methods and certain aspects of Response Surface Modeling is explored. Specific applications to wind tunnel testing, computational code validation, and instrumentation calibration are discussed.
    Keywords: Aeronautics (General)
    Type: 46th AIAA Aerospace Sciences Meeting and Exhibit; Jan 07, 2008 - Jan 10, 2008; Reno, NV; United States
    Format: application/pdf
    Location Call Number Expected Availability
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  • 2
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    Analysis of Wind Tunnel Polar Replicates Using the Modern Design of Experiments (2010)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: The role of variance in a Modern Design of Experiments analysis of wind tunnel data is reviewed, with distinctions made between explained and unexplained variance. The partitioning of unexplained variance into systematic and random components is illustrated, with examples of the elusive systematic component provided for various types of real-world tests. The importance of detecting and defending against systematic unexplained variance in wind tunnel testing is discussed, and the random and systematic components of unexplained variance are examined for a representative wind tunnel data set acquired in a test in which a missile is used as a test article. The adverse impact of correlated (non-independent) experimental errors is described, and recommendations are offered for replication strategies that facilitate the quantification of random and systematic unexplained variance.
    Keywords: Aeronautics (General)
    Type: NF1676L-11027 , AIAA 2010-4927 , 27th AIAA Aerodynamic Measurement and Ground Testing Conference; Jun 28, 2010 - Jul 01, 2010; Chicago, IL; United States
    Format: application/pdf
    Location Call Number Expected Availability
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