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Genetic Algorithms with Local Improvement for Composite Laminate Design

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dc.contributor.authorKogiso, N.en
dc.contributor.authorWatson, Layne T.en
dc.contributor.authorGürdal, Zaferen
dc.contributor.authorHaftka, Raphael T.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:36:25Zen
dc.date.available2013-06-19T14:36:25Zen
dc.date.issued1993en
dc.description.abstractThis paper describes the application of a genetic algorithm to the stacking sequence optimization of a composite laminate plate for buckling load maximization. Two approaches for reducing the number of analyses are required by the genetic algorithm are described. First, a binary tree is used to store designs, affording an efficient way to retrieve them and thereby avoid repeated analyses of designs that appeared in previous generations. Second, a local improvements scheme based on approximations in terms of lamination parameters is introduced. Two lamination parameters are sufficient to define the flexural stiffness and hence the buckling load of a balanced, symmetrically laminated plate. Results were obtained for rectangular graphite-epoxy plates under biaxial in-plane loading. The proposed improvements are shown to reduce significantly the number of analyses required for the genetic optimization.en
dc.format.mimetypeapplication/pdfen
dc.identifierhttp://eprints.cs.vt.edu/archive/00000359/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000359/01/TR-93-17.pdfen
dc.identifier.trnumberTR-93-17en
dc.identifier.urihttp://hdl.handle.net/10919/19847en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.relation.ispartofHistorical Collection(Till Dec 2001)en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleGenetic Algorithms with Local Improvement for Composite Laminate Designen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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