Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/3039
DC FieldValueLanguage
dc.contributor.authorLeung, Andrew Yee Taken_US
dc.contributor.otherWong, C. K.-
dc.date.accessioned2022-04-12T08:29:21Z-
dc.date.available2022-04-12T08:29:21Z-
dc.date.issued2000-
dc.description.abstractThe reduction of the number of unknowns while capturing the essential physical features in a nonlinear analysis of large spatial structures has long been a challenging task for researchers. We approach the problem of large displacement and large rotation analysis of space frame structures by means of group theory and substructuring technique. An accurate nonlinear analysis requires an element that accurately reflects the nonlinear behavior of the structure being modeled. Therefore details of the element formulations and updating procedure for large rotation will be given. The present formulation is capable of modeling a structure (with small to moderate axial force in its members) using one element per member, so that the number of degrees of freedom could be kept to minimum. The present methodology is based on the approach in a paper by Healey and Treacy. Axial deformation only was considered and matrix-iteration was used. We extend their idea to deal with the analysis of symmetry structures under going large displacement and large rotation in bending. Instead of matrix-iteration, we find that the basis vectors required to project the solution space into its symmetry subspace can be easily determined from the projection matrix. Excellent reduction can be obtained using the present method. The reduction efficiency depends on the symmetry of the structures. The higher the degree of symmetry the structure possesses, the greater the reduction will be.en_US
dc.language.isoenen_US
dc.publisherSage Publications-
dc.relation.ispartofAdvances in Structural Engineeringen_US
dc.titleSymmetry reduction of structures for large rotationsen_US
dc.typejournal articleen_US
dc.identifier.doi10.1260/1369433001502030-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.issn2048-4011en_US
dc.description.volume3-
dc.description.issue1-
dc.description.startpage81-
dc.description.endpage102-
dc.cihe.affiliatedNo-
item.languageiso639-1en-
item.openairetypejournal article-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
crisitem.author.deptYam Pak Charitable Foundation School of Computing and Information Sciences-
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