NDLI: Statistical methodologies to integrate experimental and computational research

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Statistical methodologies to integrate experimental and computational research

Content Provider	NASA Technical Reports Server (NTRS)
Author	Montgomery, D. C. Johnson, R. T. Parker, P. A.
Copyright Year	2008
Description	Development of advanced algorithms for simulating engine flow paths requires the integration of fundamental experiments with the validation of enhanced mathematical models. In this paper, we provide an overview of statistical methods to strategically and efficiently conduct experiments and computational model refinement. Moreover, the integration of experimental and computational research efforts is emphasized. With a statistical engineering perspective, scientific and engineering expertise is combined with statistical sciences to gain deeper insights into experimental phenomenon and code development performance; supporting the overall research objectives. The particular statistical methods discussed are design of experiments, response surface methodology, and uncertainty analysis and planning. Their application is illustrated with a coaxial free jet experiment and a turbulence model refinement investigation. Our goal is to provide an overview, focusing on concepts rather than practice, to demonstrate the benefits of using statistical methods in research and development, thereby encouraging their broader and more systematic application.
File Size	184665
Page Count	9
File Format	PDF
Alternate Webpage(s)	http://archive.org/details/NASA_NTRS_Archive_20080021174
Archival Resource Key	ark:/13960/t74v1kh4n
Language	English
Publisher Date	2008-05-12
Access Restriction	Open
Subject Keyword	Statistics And Probability Free Jets Statistical Analysis Algorithms Simulation Turbulence Models Experiment Design Mathematical Models Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science
Content Type	Text
Resource Type	Article

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