Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/3299
DC FieldValueLanguage
dc.contributor.authorLeung, Andrew Yee Taken_US
dc.date.accessioned2022-05-23T05:45:30Z-
dc.date.available2022-05-23T05:45:30Z-
dc.date.issued1983-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/3299-
dc.description.abstractA continuous system has an infinite number of degrees of freedom (n.d.o.f.) in a dynamic analysis. The dynamic stiffness method is able to produce an infinite number of natural modes with use of only a finite number of co-ordinates. The associated modal analysis is the only widely applicable approximate method for computing the response without discretizing the continuous system by methods such as the finite element method, in which the infinite n.d.o.f. is not retained. However, this modal analysis converges very slowly as the number of modes is increased if the loading distribution does not follow the patterns of the first few modes. A method is suggested in this paper to accelerate the convergence. A mixed mass matrix is introduced according to the reciprocal theorem to evaluate the initial transient while retaining the infinite n.d.o.f. with a finite number of co-ordinates. Explicit formulae are given for space frames.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofJournal of Sound and Vibrationen_US
dc.titleFast convergence modal analysis for continuous systemsen_US
dc.typejournal articleen_US
dc.identifier.doi10.1016/0022-460X(83)90473-X-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.issn0022-460Xen_US
dc.description.volume87en_US
dc.description.issue3en_US
dc.description.startpage449en_US
dc.description.endpage467en_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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