Title:
Rule-based graph theory to enable exploration of the space system architecture design space

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dc.contributor.advisor Wilhite, Alan W.
dc.contributor.author Arney, Dale Curtis en_US
dc.contributor.committeeMember Chytka, Trina
dc.contributor.committeeMember Russell, Ryan P.
dc.contributor.committeeMember Schrage, Daniel P.
dc.contributor.committeeMember Volovoi, Vitali
dc.contributor.department Aerospace Engineering en_US
dc.date.accessioned 2012-09-20T18:22:15Z
dc.date.available 2012-09-20T18:22:15Z
dc.date.issued 2012-06-29 en_US
dc.description.abstract NASA's current plans for human spaceflight include an evolutionary series of missions based on a steady increase in capability to explore cis-lunar space, the Moon, near-Earth asteroids, and eventually Mars. Although the system architecture definition has the greatest impact on the eventual performance and cost of an exploration program, selecting an optimal architecture is a difficult task due to the lack of methods to adequately explore the architecture design space and the resource-intensive nature of architecture analysis. This research presents a modeling framework to mathematically represent and analyze the space system architecture design space using graph theory. The framework enables rapid exploration of the design space without the need to limit trade options or the need for user interaction during the exploration process. The architecture design space for three missions in a notional evolutionary exploration program, which includes staging locations, vehicle implementation, and system functionality, for each mission destination is explored. Using relative net present value of various system architecture options, the design space exploration reveals that the launch vehicle selection is the primary driver in reducing cost, and other options, such as propellant type, staging location, and aggregation strategy, provide less impact. en_US
dc.description.degree PhD en_US
dc.identifier.uri http://hdl.handle.net/1853/44840
dc.publisher Georgia Institute of Technology en_US
dc.subject Ant colony optimization en_US
dc.subject Space systems en_US
dc.subject Graph theory en_US
dc.subject System architecture en_US
dc.subject.lcsh Systems engineering
dc.subject.lcsh Mathematical analysis en_US
dc.title Rule-based graph theory to enable exploration of the space system architecture design space en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.corporatename College of Engineering
local.contributor.corporatename Daniel Guggenheim School of Aerospace Engineering
local.relation.ispartofseries Doctor of Philosophy with a Major in Aerospace Engineering
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
relation.isOrgUnitOfPublication a348b767-ea7e-4789-af1f-1f1d5925fb65
relation.isSeriesOfPublication f6a932db-1cde-43b5-bcab-bf573da55ed6
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