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On the prediction of structural layout for maximum stiffness

dc.contributor.authorTaylor, J. E.en_US
dc.date.accessioned2006-09-11T15:47:04Z
dc.date.available2006-09-11T15:47:04Z
dc.date.issued1975-01en_US
dc.identifier.citationTaylor, J. E.; (1975). "On the prediction of structural layout for maximum stiffness." Journal of Optimization Theory and Applications 15(1): 145-155. <http://hdl.handle.net/2027.42/45197>en_US
dc.identifier.issn0022-3239en_US
dc.identifier.issn1573-2878en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45197
dc.description.abstractA variational formulation is presented for the problem of predicting the optimal structural system from among a discrete set of possible designs. The development is written for maximum stiffness design of single-purpose structures. The distribution among admissible structural configurations of the prescribed loads is determined as part of the solution. An extremum problem interpretation also provides the basis for evaluating relative efficiencies among locally optimal structural systems.en_US
dc.format.extent614765 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers-Plenum Publishers; Plenum Publishing Corporation ; Springer Science+Business Mediaen_US
dc.subject.otherApplications of Mathematicsen_US
dc.subject.otherCalculus of Variations and Optimal Controlen_US
dc.subject.otherCalculus of Variationsen_US
dc.subject.otherEngineering, Generalen_US
dc.subject.otherMathematicsen_US
dc.subject.otherTheory of Computationen_US
dc.subject.otherOptimizationen_US
dc.subject.otherOptimizationen_US
dc.subject.otherOperation Research/Decision Theoryen_US
dc.subject.otherStructural Optimizationen_US
dc.titleOn the prediction of structural layout for maximum stiffnessen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Aerospace Engineering, and Department of Applied Mechanics and Engineering Science, University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45197/1/10957_2004_Article_BF00933027.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF00933027en_US
dc.identifier.sourceJournal of Optimization Theory and Applicationsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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