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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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Detalles Bibliográficos
Autores principales: Breite, C., Melnikov, A., Turon, A., de Morais, A.B., Bourlot, C. Le, Maire, E., Schöberl, E., Otero, F., Mesquita, F., Sinclair, I., Costa, J., Mayugo, J.A., Guerrero, J.M., Gorbatikh, L., McCartney, L.N., Hajikazemi, M., Mehdikhani, M., Mavrogordato, M.N., Camanho, P.P., Tavares, R., Spearing, S.M., Lomov, S.V., Pimenta, S., Van Paepegem, W., Swolfs, Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627998/
https://www.ncbi.nlm.nih.gov/pubmed/34877374
http://dx.doi.org/10.1016/j.dib.2021.107590
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author Breite, C.
Melnikov, A.
Turon, A.
de Morais, A.B.
Bourlot, C. Le
Maire, E.
Schöberl, E.
Otero, F.
Mesquita, F.
Sinclair, I.
Costa, J.
Mayugo, J.A.
Guerrero, J.M.
Gorbatikh, L.
McCartney, L.N.
Hajikazemi, M.
Mehdikhani, M.
Mavrogordato, M.N.
Camanho, P.P.
Tavares, R.
Spearing, S.M.
Lomov, S.V.
Pimenta, S.
Van Paepegem, W.
Swolfs, Y.
author_facet Breite, C.
Melnikov, A.
Turon, A.
de Morais, A.B.
Bourlot, C. Le
Maire, E.
Schöberl, E.
Otero, F.
Mesquita, F.
Sinclair, I.
Costa, J.
Mayugo, J.A.
Guerrero, J.M.
Gorbatikh, L.
McCartney, L.N.
Hajikazemi, M.
Mehdikhani, M.
Mavrogordato, M.N.
Camanho, P.P.
Tavares, R.
Spearing, S.M.
Lomov, S.V.
Pimenta, S.
Van Paepegem, W.
Swolfs, Y.
author_sort Breite, C.
collection PubMed
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.
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spelling pubmed-86279982021-12-06 A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development Breite, C. Melnikov, A. Turon, A. de Morais, A.B. Bourlot, C. Le Maire, E. Schöberl, E. Otero, F. Mesquita, F. Sinclair, I. Costa, J. Mayugo, J.A. Guerrero, J.M. Gorbatikh, L. McCartney, L.N. Hajikazemi, M. Mehdikhani, M. Mavrogordato, M.N. Camanho, P.P. Tavares, R. Spearing, S.M. Lomov, S.V. Pimenta, S. Van Paepegem, W. Swolfs, Y. Data Brief Data Article 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. Elsevier 2021-11-19 /pmc/articles/PMC8627998/ /pubmed/34877374 http://dx.doi.org/10.1016/j.dib.2021.107590 Text en © 2021 Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Breite, C.
Melnikov, A.
Turon, A.
de Morais, A.B.
Bourlot, C. Le
Maire, E.
Schöberl, E.
Otero, F.
Mesquita, F.
Sinclair, I.
Costa, J.
Mayugo, J.A.
Guerrero, J.M.
Gorbatikh, L.
McCartney, L.N.
Hajikazemi, M.
Mehdikhani, M.
Mavrogordato, M.N.
Camanho, P.P.
Tavares, R.
Spearing, S.M.
Lomov, S.V.
Pimenta, S.
Van Paepegem, W.
Swolfs, Y.
A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development
title 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_short 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
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627998/
https://www.ncbi.nlm.nih.gov/pubmed/34877374
http://dx.doi.org/10.1016/j.dib.2021.107590
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