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Design optimization of hierarchically decomposed multilevel systems under uncertainty
Oakland University.
University of Michigan.
2004 (English)In: Proceedings of the ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference - 2004: presented at 2004 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference, September 28 - October 2, 2004, Salt Lake City, Utah, New York: American Society of Mechanical Engineers , 2004, Vol. 1 : 30th Design Automation Conference, p. 613-625Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a methodology for design optimization of decomposed systems in the presence of uncertainties. We extend the analytical target cascading (ATC) formulation to probabilistic design by treating stochastic quantities as random variables and parameters and posing reliability-based design constraints. We model the propagation of uncertainty throughout the multilevel hierarchy of elements that comprise the decomposed system by using the advanced mean value (AMV) method to generate the required probability distributions of nonlinear responses. We utilize appropriate metamodeling techniques for simulation-based design problems. A simple yet illustrative hierarchical bi-level engine design problem is used to demonstrate the proposed methodology.

Place, publisher, year, edition, pages
New York: American Society of Mechanical Engineers , 2004. Vol. 1 : 30th Design Automation Conference, p. 613-625
Identifiers
URN: urn:nbn:se:ltu:diva-39666DOI: 10.1115/DETC2004-57357Local ID: e7ffd3cb-4028-4281-88c5-ed068ff604a7ISBN: 0-7918-4694-6 (print)OAI: oai:DiVA.org:ltu-39666DiVA, id: diva2:1013182
Conference
ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference : 28/09/2004 - 02/10/2004
Note
Upprättat; 2011; 20110622 (andbra)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-11-25Bibliographically approved

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Kokkolaras, Michael

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