Title: Multi-Level Mass Optimization of Components within Large Systems with Uncertainty
Abstract: [Abstract] A new methodology is introduced to drastically reduce the time and effort required to perform design optimization of components or subsystems whose performance is strongly coupled to that of a large system to which they belong. The current approach reduces the CPU time for such design studies by a factor of 10 1 – 10 3 , depending upon the problem definition. The approach is especially useful in the early stages of design, when initial component level design must be performed even while the system design is in a state of flux. This uncertainty is addressed to some degree in the present approach by making the component robust against variations in the system to which it belongs. Another advantage of the current approach is that potentially thousands of design iterations can be performed in about the same amount of time required to perform a few (4-8) system level evaluations. Thus, engineers can thoroughly explore new design concepts and mass efficient shapes that were previously ignored due to the computational expense of such design studies.
Publication Year: 2006
Publication Date: 2006-09-06
Language: en
Type: article
Indexed In: ['crossref']
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