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dc.contributor.authorGilbert, Benoiten_US
dc.contributor.authorH. Teh, Lipen_US
dc.contributor.authorGuan, Hongen_US
dc.date.accessioned2017-05-03T15:53:38Z
dc.date.available2017-05-03T15:53:38Z
dc.date.issued2012en_US
dc.date.modified2013-06-13T23:33:04Z
dc.identifier.issn02638231en_US
dc.identifier.doi10.1016/j.tws.2012.06.009en_US
dc.identifier.urihttp://hdl.handle.net/10072/47904
dc.description.abstractFor economical benefits, optimisation of mass-produced structural steel products has been widely researched. The objective is to minimise the quantity of material used without sacrificing the strength and practicality of the structural members. Current research focuses on optimising the main dimensions of conventional cross-sectional shapes but rarely considers discovering new optimum shapes. This paper introduces the concepts of a new optimisation method that enables the cross-section to self-shape to an optimum by using the evolution and adaptation benefits of Genetic Algorithm (GA). The feasibility and the accuracy of the method are verified by implementing it to optimise the section capacity of thin-walled profiles. Specifically, the profiles are optimised against simple parameters, for which analytical solutions are known, namely the optimisation of doubly-symmetric closed profiles. Results show that the cross-section accurately self-shapes to its optimum in a low number of generations. Factors influencing the convergence are presented in this paper. The method is extended to optimisation of cold-formed steel open section columns in the companion paper.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.format.extent1367207 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherElsevieren_US
dc.publisher.placeUnited Kingdomen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom194en_US
dc.relation.ispartofpageto204en_US
dc.relation.ispartofjournalThin-Walled Structuresen_US
dc.relation.ispartofvolume60en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchStructural Engineeringen_US
dc.subject.fieldofresearchcode090506en_US
dc.titleSelf-shape optimisation principles: Optimisation of section capacity for thin-walled profilesen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright 2012 Elsevier B.V. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.en_US
gro.date.issued2012
gro.hasfulltextFull Text


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