Type of Document Master's Thesis Author Slotta, Douglas J. Author's Email Address email@example.com 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 AbstractTraditional 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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