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dc.contributor.authorJiang, Sheng
dc.contributor.authorShen, Luming
dc.contributor.authorGuillard, François
dc.contributor.authorEinav, Itai
dc.date.accessioned2021-06-02T05:13:49Z
dc.date.available2021-06-02T05:13:49Z
dc.date.issued2021-06-02
dc.identifier.urihttps://hdl.handle.net/2123/25371
dc.description.abstractThis dataset is corrrsponding to the tests in the journal paper 'Characterisation of fracture evolution of a single cemented brittle grain using in-situ X-ray computed tomography'. The dataset of this study should also help significantly numerical modelers seeking to evaluate their models. The experimental observations of the fracture process of single cemented grains, particularly the temporal 3D data, can be considered and incorporated into the development of future constitutive models for more sophisticated modeling of material failure. Meanwhile, the whole experimental fracture evolution can be treated for valuable training and testing data for machine learning in order to better predict the fracture propagation. This dataset contains the CT images for the fragmentation process of a single brittle glass bead cemented by ductile epoxy resin, along with the correspionding force-displacement curves.en_AU
dc.language.isoenen_AU
dc.rightsCreative Commons Attribution-NonCommercial 4.0en_AU
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectFracture mechanismen_AU
dc.subjectFracture orientationen_AU
dc.subjectFragmentationen_AU
dc.subjectX-ray Computed Tomographyen_AU
dc.titleDataset for "Characterisation of fracture evolution of a single cemented brittle grain using in-situ X-ray computed tomography"en_AU
dc.typeDataseten_AU
dc.subject.asrc0905 Civil Engineeringen_AU
dc.identifier.doi10.25910/hsxw-th53
dc.description.methodThe dataset is acquried by the in-situ X-ray micro-CT. The acquired radiographic image is composed of 2440 (width) × 2096 (height) pixels in the format of TIFF. The radiographic projection images are reconstructed using NRecon software to obtain the tomographic images.en_AU
dc.bitstream.urlhttps://ses-data.library.sydney.edu.au/public/25371_Jiang/Dataset-IJRMMS.7z
usyd.facultySeS faculties schools::Faculty of Engineering::School of Civil Engineeringen_AU
workflow.metadata.onlyNoen_AU


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