Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.compstruc.2010.03.004
DC FieldValue
dc.titlePost-buckling analysis of planar elastica using a hybrid numerical strategy
dc.contributor.authorWang, T.Y.
dc.contributor.authorKoh, C.G.
dc.contributor.authorLiaw, C.Y.
dc.date.accessioned2014-06-17T08:23:10Z
dc.date.available2014-06-17T08:23:10Z
dc.date.issued2010-06
dc.identifier.citationWang, T.Y., Koh, C.G., Liaw, C.Y. (2010-06). Post-buckling analysis of planar elastica using a hybrid numerical strategy. Computers and Structures 88 (11-12) : 785-795. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compstruc.2010.03.004
dc.identifier.issn00457949
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/66008
dc.description.abstractMany structural mechanics problems, such as post-buckling of elastica, involve determining multi-equilibrium states of a nonlinear system. Typically, the stable equilibrium states are found by searching for minima of the potential energy function subjected to some constraints. In this paper, the method of genetic algorithm combined with the quasi-Newton method is applied to search for the multiple minima of the strain energy of various elastica problems. The proposed hybrid methodology is relatively straightforward to implement and is adopted to study post-buckling behaviour of planar elastica modelled as multi-link systems for various boundary conditions and sidewall constraints. © 2010 Elsevier Ltd. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.compstruc.2010.03.004
dc.sourceScopus
dc.subjectConstrained-optimization
dc.subjectElastica
dc.subjectGenetic algorithm
dc.subjectPost-buckling
dc.subjectQuasi-Newton method
dc.typeArticle
dc.contributor.departmentCIVIL ENGINEERING
dc.description.doi10.1016/j.compstruc.2010.03.004
dc.description.sourcetitleComputers and Structures
dc.description.volume88
dc.description.issue11-12
dc.description.page785-795
dc.description.codenCMSTC
dc.identifier.isiut000278302200010
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