Type of Document	Master's Thesis
Author	Slotta, Douglas J.
Author's Email Address	dslotta@vt.edu
URN	etd-06012001-101717
Title	Structural Design Using Cellular Automata
Degree	Master of Science
Department	Computer Science
Advisory Committee	Advisor Name Title Watson, Layne T. Committee Chair Gürdal, Zafer Committee Member Ribbens, Calvin J. Committee Member
Keywords	structural analysis massively parallel processing cellular automata
Date of Defense	2001-04-12
Availability	unrestricted
Abstract Traditional parallel methods for structural design do not scale well. This thesis discusses the application of massively scalable cellular automata (CA) techniques to structural design. There are two sets of CA rules, one used to propagate stresses and strains, and one to perform design analysis. These rules can be applied serially, periodically, or concurrently, and Jacobi or Gauss-Seidel style updating can be done. These options are compared with respect to convergence, speed, and stability.
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