Design of modern engineering products requires complexity management. Several methodologies for complex system optimization have been developed in response. Single-level strategies centralize decision-making authority, while multi-level strategies distribute the decision-making process. This article studies the impact of coupling strength on single-level Multidisciplinary Design Optimization formulations, particularly the Multidisciplinary Feasible (MDF) and Individual Disciplinary Feasible (IDF) formulations. The Fixed Point Iteration solution strategy is used to motivate the analysis. A new example problem with variable coupling strength is introduced, involving the design of a turbine blade and a fully analytic mathematical model. The example facilitates a clear illustration of MDF and IDF and provides an insightful comparison between these two formulations. Specifically, it is shown that MDF is sensitive to variations in coupling strength, while IDF is not.
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ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
September 24–28, 2005
Long Beach, California, USA
Conference Sponsors:
- Design Engineering Division and Computers and Information in Engineering Division
ISBN:
0-7918-4739-X
PROCEEDINGS PAPER
On the Impact of Coupling Strength on Complex System Optimization for Single-Level Formulations
James Allison,
James Allison
University of Michigan, Ann Arbor, MI
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Michael Kokkolaras,
Michael Kokkolaras
University of Michigan, Ann Arbor, MI
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Panos Papalambros
Panos Papalambros
University of Michigan, Ann Arbor, MI
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James Allison
University of Michigan, Ann Arbor, MI
Michael Kokkolaras
University of Michigan, Ann Arbor, MI
Panos Papalambros
University of Michigan, Ann Arbor, MI
Paper No:
DETC2005-84790, pp. 265-275; 11 pages
Published Online:
June 11, 2008
Citation
Allison, J, Kokkolaras, M, & Papalambros, P. "On the Impact of Coupling Strength on Complex System Optimization for Single-Level Formulations." Proceedings of the ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2: 31st Design Automation Conference, Parts A and B. Long Beach, California, USA. September 24–28, 2005. pp. 265-275. ASME. https://doi.org/10.1115/DETC2005-84790
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