A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development
We performed in-situ tensile tests on two carbon fibre/epoxy composites with continuous scanning using synchrotron computed tomography (CT). Both composites were cross-ply laminates, and two specimens were tested for each composite. The voxel size was sufficiently small to recognize individual fibre...
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2021
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oai:doaj.org-article:205a15c86e6d46bab365ffda48d12dd02021-11-24T04:31:32ZA synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development2352-340910.1016/j.dib.2021.107590https://doaj.org/article/205a15c86e6d46bab365ffda48d12dd02021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352340921008659https://doaj.org/toc/2352-3409We performed in-situ tensile tests on two carbon fibre/epoxy composites with continuous scanning using synchrotron computed tomography (CT). Both composites were cross-ply laminates, and two specimens were tested for each composite. The voxel size was sufficiently small to recognize individual fibres and fibre breaks. For each test, 16-19 volumes were reconstructed, cropped down to the 0° plies and analysed to track fibre break and cluster development. This dataset provides the last CT volume before failure for each of the four specimens as well as the individual fibre break locations in all reconstructed volumes. These data are then plotted against predictions from six state-of-the-art strength models. The target is that these data become a benchmark for the development of new models, inspiring researchers to set up refined experiments and develop improved models.C. BreiteA. MelnikovA. TuronA.B. de MoraisC. Le BourlotE. MaireE. SchöberlF. OteroF. MesquitaI. SinclairJ. CostaJ.A. MayugoJ.M. GuerreroL. GorbatikhL.N. McCartneyM. HajikazemiM. MehdikhaniM.N. MavrogordatoP.P. CamanhoR. TavaresS.M. SpearingS.V. LomovS. PimentaW. Van PaepegemY. SwolfsElsevierarticleFibre-reinforced compositesSynchrotron computed tomographyLongitudinal tensile failureFibre breaksStress concentrationsComputer applications to medicine. Medical informaticsR858-859.7Science (General)Q1-390ENData in Brief, Vol 39, Iss , Pp 107590- (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Fibre-reinforced composites Synchrotron computed tomography Longitudinal tensile failure Fibre breaks Stress concentrations Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390 |
spellingShingle |
Fibre-reinforced composites Synchrotron computed tomography Longitudinal tensile failure Fibre breaks Stress concentrations Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390 C. Breite A. Melnikov A. Turon A.B. de Morais C. Le Bourlot E. Maire E. Schöberl F. Otero F. Mesquita I. Sinclair J. Costa J.A. Mayugo J.M. Guerrero L. Gorbatikh L.N. McCartney M. Hajikazemi M. Mehdikhani M.N. Mavrogordato P.P. Camanho R. Tavares S.M. Spearing S.V. Lomov S. Pimenta W. Van Paepegem Y. Swolfs A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development |
description |
We performed in-situ tensile tests on two carbon fibre/epoxy composites with continuous scanning using synchrotron computed tomography (CT). Both composites were cross-ply laminates, and two specimens were tested for each composite. The voxel size was sufficiently small to recognize individual fibres and fibre breaks. For each test, 16-19 volumes were reconstructed, cropped down to the 0° plies and analysed to track fibre break and cluster development. This dataset provides the last CT volume before failure for each of the four specimens as well as the individual fibre break locations in all reconstructed volumes. These data are then plotted against predictions from six state-of-the-art strength models. The target is that these data become a benchmark for the development of new models, inspiring researchers to set up refined experiments and develop improved models. |
format |
article |
author |
C. Breite A. Melnikov A. Turon A.B. de Morais C. Le Bourlot E. Maire E. Schöberl F. Otero F. Mesquita I. Sinclair J. Costa J.A. Mayugo J.M. Guerrero L. Gorbatikh L.N. McCartney M. Hajikazemi M. Mehdikhani M.N. Mavrogordato P.P. Camanho R. Tavares S.M. Spearing S.V. Lomov S. Pimenta W. Van Paepegem Y. Swolfs |
author_facet |
C. Breite A. Melnikov A. Turon A.B. de Morais C. Le Bourlot E. Maire E. Schöberl F. Otero F. Mesquita I. Sinclair J. Costa J.A. Mayugo J.M. Guerrero L. Gorbatikh L.N. McCartney M. Hajikazemi M. Mehdikhani M.N. Mavrogordato P.P. Camanho R. Tavares S.M. Spearing S.V. Lomov S. Pimenta W. Van Paepegem Y. Swolfs |
author_sort |
C. Breite |
title |
A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development |
title_short |
A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development |
title_full |
A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development |
title_fullStr |
A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development |
title_full_unstemmed |
A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development |
title_sort |
synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/205a15c86e6d46bab365ffda48d12dd0 |
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