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dc.contributor.authorMuresan, Adrian
dc.contributor.otherQueen's University (Kingston, Ont.). Theses (Queen's University (Kingston, Ont.))en
dc.date2014-08-26 12:07:32.212en
dc.date2014-08-26 14:37:58.806en
dc.date.accessioned2014-08-26T22:03:30Z
dc.date.available2014-08-26T22:03:30Z
dc.date.issued2014-08-26
dc.identifier.urihttp://hdl.handle.net/1974/12380
dc.descriptionThesis (Master, Computing) -- Queen's University, 2014-08-26 14:37:58.806en
dc.description.abstractTensegrity systems are a type of structural system relying on a balance of tension and compression forces to maintain structural soundness. These systems have a wide variety of applications ranging from architecture to biological modeling, art, and even space exploration. This thesis provides a flexible modeling platform for tensegrity systems, allowing exploration of a wide range of systems, including fractal and adaptive tensegrity systems. In order to provide the necessary flexibility for scientific exploration, this framework incorporates a hierarchical object definition structure. A hill climbing algorithm is provided for finding minimal potential energy states of these systems. Extensive validation of the presented hill climbing algorithm shows that this algorithm finds global minima in $99\%$ of test cases. This framework employs a clear distinction between object definition, object sampling, and object optimization, to allow for a greater range of uses.en_US
dc.languageenen
dc.language.isoenen_US
dc.relation.ispartofseriesCanadian thesesen
dc.rightsThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.en
dc.subjectTensegrityen_US
dc.subjectEnergy Minimizationen_US
dc.titleModeling Tensegrity Systems via Energy Minimizationen_US
dc.typeThesisen_US
dc.description.degreeMasteren
dc.contributor.supervisorBlostein, Dorotheaen
dc.contributor.departmentComputingen


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