Modeling Tensegrity Systems via Energy Minimization
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Authors
Muresan, Adrian
Date
2014-08-26
Type
thesis
Language
eng
Keyword
Tensegrity , Energy Minimization
Alternative Title
Abstract
Tensegrity 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.
Description
Thesis (Master, Computing) -- Queen's University, 2014-08-26 14:37:58.806
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License
This 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.