The State of Problem Decomposition in Engineering Design

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AIAA-2009-2188.pdf (431.51 KB)
Author(s)
Otero, Richard E.
Braun, Robert D.
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Daniel Guggenheim School of Aerospace Engineering
The Daniel Guggenheim School of Aeronautics was established in 1931, with a name change in 1962 to the School of Aerospace Engineering
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https://hdl.handle.net/1853/74802
Abstract
As engineers examine larger coupled systems, computational complexity, available resources and the lack of expert intuition create a need for advancing the state of automated decomposition methods. Larger coupled problems may, for instance, expand beyond an expert's experience in manual decomposition. This paper describes the current state of automated decomposition within engineering and explores several promising ideas that could be utilized to advance the state of the practice. It is proposed that the explicit modeling of dependencies is both possible and available for a new avenue of advancement in how problem decomposition is applied to engineering.
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Date
2009-05
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Text
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Paper
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