Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/107780
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dc.contributor.authorHao Kan, Wen-
dc.contributor.authorAlbino, Carlos-
dc.contributor.authorDias-da-Costa, Daniel-
dc.contributor.authorDolman, Kevin-
dc.contributor.authorLucey, Timothy-
dc.contributor.authorTang, Xinhu-
dc.contributor.authorCairney, Julie-
dc.contributor.authorProust, Gwénaëlle-
dc.date.accessioned2023-08-01T10:59:57Z-
dc.date.available2023-08-01T10:59:57Z-
dc.date.issued2018-
dc.identifier.issn2215-0161-
dc.identifier.urihttps://hdl.handle.net/10316/107780-
dc.description.abstractDigital image correlation (DIC) is an optical technique commonly used for measuring displacement fields by tracking artificially applied random speckle patterns, which can sometimes be a problem for tracking small-scale displacements. DIC is particularly useful for tracking the crack mouth opening displacement (CMOD) of a notched metallic specimen subjected to three-point bending for fracture toughness determination because the edges of the notch provide the required textural features for DIC without the need for speckle patterns. This simplifies the set-up process as the specimen and stage geometries do not need to account for the placement of a strain gauge. To enhance the accuracy of DIC, this study then successfully downscaled a photogrammetry technique commonly used to track crack propagation in large scale concrete tests so that the pixel coordinates of the captured images can be automatically related to their real-world coordinates, allowing for small scale displacements to be accurately tracked.pt
dc.language.isoengpt
dc.publisherElsevierpt
dc.relationThe authors wish to acknowledge the financial support of this work by the Australian government’s Australian Postgraduate Awards scheme and by the Australian Research Council (ARC Linkage Project LP130100111 - Wear-resistant alloys for the mining industry) in collaboration with Weir Minerals Australia Ltd and The University of Sydney. We also acknowledge the facilities, and the scientific and technical assistance, of Microscopy Australia (formerly Australian Microscopy & Microanalysis Research Facility) at the Australian Centre of Microscopy and Microanalysis, The University of Sydney. D. Dias-da-Costa would like to acknowledge the support from the Australian Research Council through its Discovery Early Career Researcher Award (DE150101703) and from the Faculty of Engineering & Information Technologies,The University of Sydney, under the Faculty Research Cluster Program. C. Albino and D. Dias-da-Costa would like to extend their acknowledgements to FEDER through the Competitivity Factors Operational Programme (COMPETE) and to the Foundation for Science and Technology (FCT) within grant POCI-01-0145-FEDER-007633pt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjectDigital image correlation (DIC)pt
dc.subjectPhotogrammetrypt
dc.subjectMetal matrix compositept
dc.subjectHigh chromium white cast ironpt
dc.subjectFracture toughnesspt
dc.titleFracture toughness testing using photogrammetry and digital image correlationpt
dc.typearticlept
degois.publication.firstPage1166pt
degois.publication.lastPage1177pt
degois.publication.titleMethodsXpt
dc.peerreviewedyespt
dc.identifier.doi10.1016/j.mex.2018.09.012-
degois.publication.volume5pt
dc.date.embargo2018-01-01*
dc.identifier.pmid30364661-
uc.date.periodoEmbargo0pt
item.openairetypearticle-
item.fulltextCom Texto completo-
item.languageiso639-1en-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.researchunitISISE - Institute for Sustainability and Innovation in Structural Engineering-
crisitem.author.orcid0000-0001-6848-7992-
Appears in Collections:I&D ISISE - Artigos em Revistas Internacionais
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