Structural Design Using Cellular Automata

Simple item page
dc.contributor.authorSlotta, Douglas J.en
dc.contributor.committeechairWatson, Layne T.en
dc.contributor.committeememberRibbens, Calvin J.en
dc.contributor.committeememberGürdal, Zaferen
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2014-03-14T20:39:09Zen
dc.date.adate2001-06-22en
dc.date.available2014-03-14T20:39:09Zen
dc.date.issued2001-04-12en
dc.date.rdate2002-06-22en
dc.date.sdate2001-06-01en
dc.description.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.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-06012001-101717en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-06012001-101717/en
dc.identifier.urihttp://hdl.handle.net/10919/33368en
dc.publisherVirginia Techen
dc.relation.haspartthesis.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectstructural analysisen
dc.subjectmassively parallel processingen
dc.subjectcellular automataen
dc.titleStructural Design Using Cellular Automataen
dc.typeThesisen
thesis.degree.disciplineComputer Scienceen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
thesis.pdf
Size:
622.36 KB
Format:
Adobe Portable Document Format
Download

Collections

Masters Theses