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Techniques for estimating uncertainty propagation in probabilistic design of multilevel systems
Department of Mechanical and Industrial Engineering, University of Iowa.
Department of Mechanical and Industrial Engineering, University of Iowa.
Department of Mechanical Engineering, University of Michigan.
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2004 (English)In: A collection of technical papers: 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference : Albany, New York, 30 August - 1 September 2004, Reston, Va.: American Institute of Aeronautics and Astronautics, AIAA , 2004, p. 1893-1902Conference paper, Published paper (Refereed)
Abstract [en]

In probabilistic design of multilevel systems, the challenge is to estimate uncertainty propagation since outputs of subsystems at lower levels constitute inputs of subsystems at higher levels. Three uncertainty propagation estimation techniques are compared in this paper in terms of numerical efficiency and accuracy: root sum square (linearization), distribution-based moment approximation, and Taguchi-based integration. When applied to simulation-based, multilevel system design optimization under uncertainty, it is investigated which type of applications each method is best suitable for. The probabilistic formulation of the analytical target cascading methodology is used to solve the multilevel problem. A hierarchical bi-level engine design problem is employed to investigate unique features of the presented techniques for uncertainty propagation. This study aims at helping potential users to identify appropriate techniques for their applications. Copyright © 2004 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

Place, publisher, year, edition, pages
Reston, Va.: American Institute of Aeronautics and Astronautics, AIAA , 2004. p. 1893-1902
Identifiers
URN: urn:nbn:se:ltu:diva-33111Scopus ID: 20344404726Local ID: 7e490c16-c02c-48e3-b605-a9377bce8ce8ISBN: 1-563-47716-5 (print)OAI: oai:DiVA.org:ltu-33111DiVA, id: diva2:1006347
Conference
AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference : 30/08/2004 - 01/09/2004
Note
Upprättat; 2011; 20110623 (andbra)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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  • apa
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Output format
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