Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/12358
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dc.contributor.authorRossi, B-
dc.contributor.authorAfshan, S-
dc.contributor.authorGardner, L-
dc.date.accessioned2016-03-16T09:51:36Z-
dc.date.available2013-04-01-
dc.date.available2016-03-16T09:51:36Z-
dc.date.issued2013-
dc.identifier.citationJournal of Constructional Steel Research, 83, (8): pp. 189 - 196, (2013)en_US
dc.identifier.issn0143-974X-
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S0143974X12002830-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/12358-
dc.description.abstractCold-formed structural sections are manufactured at ambient temperature and hence undergo plastic deformations, which result in an increase in yield stress and a reduction in ductility. This paper begins with a comparative study of existing models to predict this strength increase. Modifications to the existing models are then made, and an improved model is presented and statistically verified. Tensile coupon data from existing testing programmes have been gathered to supplement those generated in the companion paper [1] and used to assess the predictive models. A series of structural section types, both cold-rolled and press-braked, and a range of structural materials, including various grades of stainless steel and carbon steel, have been considered. The proposed model is shown to offer improved mean predictions of measured strength enhancements over existing approaches, is simple to use in structural calculations and is applicable to any metallic structural sections. It is envisaged that the proposed model will be incorporated in future revisions of Eurocode 3 [2,3].en_US
dc.format.extent189 - 196 (8)-
dc.languageEnglish-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectCold-formingen_US
dc.subjectPredictive modelsen_US
dc.subjectStainless steelen_US
dc.subjectStrain hardeningen_US
dc.subjectStrength enhancementen_US
dc.titleStrength enhancements in cold-formed structural sections - Part II: Predictive modelsen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.jcsr.2012.12.007-
dc.relation.isPartOfJOURNAL OF CONSTRUCTIONAL STEEL RESEARCH-
pubs.publication-statusPublished-
pubs.publication-statusPublished-
pubs.volume83-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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