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On Developing a Taxonomy for Multidisciplinary Design Optimization: A Decision-Based PerspectiveIn this paper, we approach MDO from a Decision-Based Design (DBD) perspective and explore classification schemes for designing complex systems and processes. Specifically, we focus on decisions, which are only a small portion of the Decision Support Problem (DSP) Technique, our implementation of DBD. We map coupled nonhierarchical and hierarchical representations from the DSP Technique into the Balling-Sobieski (B-S) framework (Balling and Sobieszczanski-Sobieski, 1994), and integrate domain-independent linguistic terms to complete our taxonomy. Application of DSPs to the design of complex, multidisciplinary systems include passenger aircraft, ships, damage tolerant structural and mechanical systems, and thermal energy systems. In this paper we show that Balling-Sobieski framework is consistent with that of the Decision Support Problem Technique through the use of linguistic entities to describe the same type of formulations. We show that the underlying linguistics of the solution approaches are the same and can be coalesced into a homogeneous framework with which to base the research, application, and technology MDO upon. We introduce, in the Balling-Sobieski framework, examples of multidisciplinary design, namely, aircraft, damage tolerant structural and mechanical systems, and thermal energy systems.
Document ID
19990087093
Acquisition Source
Headquarters
Document Type
Reprint (Version printed in journal)
Authors
Lewis, Kemper
(Georgia Inst. of Tech. Atlanta, GA United States)
Mistree, Farrokh
(Georgia Inst. of Tech. Atlanta, GA United States)
Date Acquired
August 19, 2013
Publication Date
January 1, 1995
Publication Information
Publication: First World Congress of Structural and Multidisciplinary Optimization
Subject Category
Systems Analysis
Funding Number(s)
CONTRACT_GRANT: NAG1-1564
CONTRACT_GRANT: NGT-51102
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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