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Elastic Buckling Database for Thin-Walled Metal Columns with Perforation Patterns

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dc.contributor.authorSmith, Frank H.en
dc.contributor.departmentCivil and Environmental Engineeringen
dc.date.accessioned2013-09-17T13:53:50Zen
dc.date.available2013-09-17T13:53:50Zen
dc.date.issued2013-09-17en
dc.description.abstractPresented is the data set used in the development and validation of approximate finite strip methods for use in predicting elastic buckling strength of cold-formed steel columns including perforation patterns. The influence of perforations is accounted by reduced thicknesses related to the plate buckling coefficient and transverse web rotational stiffness in the prediction of local and distortional buckling respectively. Global buckling prediction including the influence of perforations uses critical elastic loads of an unperforated section multiplied by the ratio of weighted to gross cross-sectional moment of inertia for flexural buckling and the ratios of weighted to gross cross-sectional warping torsion constant and weighted to gross St. Venant torsional constant for flexural-torsional buckling. Concern for end-user was given and methods are presented in a way for incorporation into governing design standards in Smith's Master's Thesis entitled "Finite strip elastic buckling solutions for thin-walled metal columns with perforation patterns" available at http://hdl.handle.net/10919/23680.en
dc.identifier.urihttp://hdl.handle.net/10919/23797en
dc.language.isoenen
dc.relation.isreferencedbyhttp://hdl.handle.net/10919/23680en
dc.rightsCreative Commons CC0 1.0 Universal Public Domain Dedicationen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/en
dc.subjectElastic bucklingen
dc.subjectPerforationen
dc.subjectHolesen
dc.subjectFinite strip analysisen
dc.subjectLocal bucklingen
dc.subjectGlobal bucklingen
dc.subjectDistortional bucklingen
dc.subjectPallet racken
dc.titleElastic Buckling Database for Thin-Walled Metal Columns with Perforation Patternsen
dc.typeDataseten
dc.type.dcmitypeDataseten

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Civil Engineering Data, Civil and Environmental Engineering