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  • Systems Analysis and Operations Research  (1)
  • Theoretical Mathematics; Statistics and Probability; Aerodynamics  (1)
  • 1
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    Decision Support Methods and Tools (2006)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: This paper is one of a set of papers, developed simultaneously and presented within a single conference session, that are intended to highlight systems analysis and design capabilities within the Systems Analysis and Concepts Directorate (SACD) of the National Aeronautics and Space Administration (NASA) Langley Research Center (LaRC). This paper focuses on the specific capabilities of uncertainty/risk analysis, quantification, propagation, decomposition, and management, robust/reliability design methods, and extensions of these capabilities into decision analysis methods within SACD. These disciplines are discussed together herein under the name of Decision Support Methods and Tools. Several examples are discussed which highlight the application of these methods within current or recent aerospace research at the NASA LaRC. Where applicable, commercially available, or government developed software tools are also discussed
    Keywords: Systems Analysis and Operations Research
    Type: AIAA Paper 2006-7028 , 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference; Sep 06, 2006 - Sep 08, 2006; Portsmouth, VA; United States
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 2
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    Multifidelity, Multidisciplinary Design Under Uncertainty with Non-Intrusive Polynomial Chaos (2017)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: The primary objective of this work is to develop an approach for multifidelity uncertainty quantification and to lay the framework for future design under uncertainty efforts. In this study, multifidelity is used to describe both the fidelity of the modeling of the physical systems, as well as the difference in the uncertainty in each of the models. For computational efficiency, a multifidelity surrogate modeling approach based on non-intrusive polynomial chaos using the point-collocation technique is developed for the treatment of both multifidelity modeling and multifidelity uncertainty modeling. Two stochastic model problems are used to demonstrate the developed methodologies: a transonic airfoil model and multidisciplinary aircraft analysis model. The results of both showed the multifidelity modeling approach was able to predict the output uncertainty predicted by the high-fidelity model as a significant reduction in computational cost.
    Keywords: Theoretical Mathematics; Statistics and Probability; Aerodynamics
    Type: NF1676L-24657 , 2017 AIAA SciTech Forum; Jan 09, 2017 - Jan 13, 2017; Grapevine, TX; United States
    Format: application/pdf
    Location Call Number Expected Availability
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    NASA TECHNICAL REPORTS
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