Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/3277
DC FieldValueLanguage
dc.contributor.authorLeung, Andrew Yee Taken_US
dc.date.accessioned2022-05-23T01:58:14Z-
dc.date.available2022-05-23T01:58:14Z-
dc.date.issued1988-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/3277-
dc.description.abstractThe dynamic stiffness method can predict an infinite number of natural modes of a conservative structure by means of a finite number of co-ordinates. The method is extended to non-conservative systems characterized by follower forces in this paper. Skeletal frame structures are taken as examples. The resulting matrix equations are solved by the parametric inverse iteration method with the intensity of the follower forces as parameter. The influences of shear deformation and rotatory inertia on the flutter instability are considered. The higher order flutter mode critical follower forces for a slender cantilever are found to be (2n−0·5)<sup>2</sup>π<sup>2</sup>EI/l<sup>2</sup> approximately. The flutter frequency and flutter load are calculated directly by a Newtonian method with a Romberg algorithm for the determinant derivatives. It is found that flutter may occur by coalescence of non-adjacent linear modes.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofJournal of Sound and Vibrationen_US
dc.titleDynamic stiffness analysis of follower forceen_US
dc.typejournal articleen_US
dc.identifier.doi10.1016/0022-460X(88)90229-5-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.issn0022-460Xen_US
dc.description.volume126en_US
dc.description.issue3en_US
dc.description.startpage533en_US
dc.description.endpage543en_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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