Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/3249
DC FieldValueLanguage
dc.contributor.authorLeung, Andrew Yee Taken_US
dc.date.accessioned2022-05-20T07:45:13Z-
dc.date.available2022-05-20T07:45:13Z-
dc.date.issued1991-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/3249-
dc.description.abstractTo approximate a tube building by thin-walled Vlasov beam, it is unreasonable to neglect the axial force due to dead and live loads. The axial compression makes the lateral displacements (Y, Z) coupled with the torsional displacement (Φ) when warping is concerned. The resulting twelve-order differential equation is customarily solved by finite element method assuming independent cubic shape functions for Y, Z and Φ. It is pointed out here that the displacement functions are not completely independent. Indeed, if one takes the static solutions of the governing ordinary differential equations as shape functions, for the same number of degrees of freedom, one can approximate the Vlasov beam by quintic polynomials plus six hyperbolic-trigonometric functions. For static problems without distributed force, the resulting stiffness equation is exact. For dynamic problems, the resulting finite element converges rapidly.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofThin-Walled Structuresen_US
dc.titleNatural shape functions of a compressed Vlasov elementen_US
dc.typejournal articleen_US
dc.identifier.doi10.1016/0263-8231(91)90037-J-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.issn0263-8231en_US
dc.description.volume11en_US
dc.description.issue5en_US
dc.description.startpage431en_US
dc.description.endpage438en_US
dc.cihe.affiliatedNo-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairetypejournal article-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
crisitem.author.deptYam Pak Charitable Foundation School of Computing and Information Sciences-
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