Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104672
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dc.contributorDepartment of Building and Real Estateen_US
dc.creatorJiang, Ben_US
dc.creatorLi, GQen_US
dc.creatorYam, MCHen_US
dc.date.accessioned2024-03-05T01:23:49Z-
dc.date.available2024-03-05T01:23:49Z-
dc.identifier.issn1229-9367en_US
dc.identifier.urihttp://hdl.handle.net/10397/104672-
dc.language.isoenen_US
dc.publisherTechno-Pressen_US
dc.rightsCopyright © 2020 Techno-Press, Ltd.en_US
dc.rightsThis is the accepted version of the following article: Jiang, B., Li, G. Q., & Yam, M. C. (2020). Simplified robustness assessment of steel framed structures under fire-induced column failure. Steel and Composite Structures, An International Journal, 35(2), 199-213, which has been published in https://doi.org/10.12989/scs.2020.35.2.199.en_US
dc.subjectDynamic effecten_US
dc.subjectFire-induced column failureen_US
dc.subjectProgressive collapseen_US
dc.subjectRobustness assessment methoden_US
dc.subjectSteel framed structureen_US
dc.titleSimplified robustness assessment of steel framed structures under fire-induced column failureen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage199en_US
dc.identifier.epage213en_US
dc.identifier.volume35en_US
dc.identifier.issue2en_US
dc.identifier.doi10.12989/scs.2020.35.2.199en_US
dcterms.abstractThis paper proposes a Global-Local Analysis Method (GLAM) to assess the progressive collapse of steel framed structures under fire-induced column failure. GLAM obtains the overall structural response by combining dynamic analysis of the heated column (local) with static analysis of the overall structure (global). Test results of two steel frames which explicitly consider the dynamic effect during fire-induced column failure were employed to validate the proposed GLAM. Results show that GLAM gives reasonable predictions to the test frames in terms of both whether to collapse and the displacement verse temperature curves. Besides, several case studies of a two-dimensional (2D) steel frame and a three-dimensional (3D) steel frame with concrete slabs were conducted by using GLAM. Results show that GLAM gives the same collapse predictions to the studied cases with nonlinear dynamic analysis of the whole structure model. Compared with nonlinear dynamic analysis of the whole structure model, GLAM saves approximately 70% and 99% CPU time for the cases of 2D and 3D steel frame, respectively. Results also show that the load level of a structure has notable effects on the restraint condition of a heated column in the structure.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSteel and composite structures, 25 Apr. 2020, v. 35, no. 2, p. 199-213en_US
dcterms.isPartOfSteel and composite structuresen_US
dcterms.issued2020-04-25-
dc.identifier.eissn1598-6233en_US
dc.description.validate202402 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberBRE-0330-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe National Natural Science Fundation of China with Grant No. 51908560, No. 51120185001 and Ministry of Science and Technology of China with Grant No. SLDRCE14-A-05en_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS24419390-
dc.description.oaCategoryGreen (AAM)en_US
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