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 compos- ite. The voxel size was sufficiently small to recognize individ- ual f...
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| creator | Breite, C Melnikov, A Turon, A de Morais, A. B Le Bourlot, C Maire, E Schöberl, E Otero, F Mesquita, F Sinclair, I Costa, J Mayugo, J. A Guerrero, J. M Gorbatikh, L McCartney, L. N Hajikazemi, Mohammad Mehdikhani, M Mavrogordato, M. N Camanho, P. P Tavares, R Spearing, S. M Lomov, S. V Pimenta, S Van Paepegem, Wim Swolfs, Y |
| 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 compos-
ite. The voxel size was sufficiently small to recognize individ-
ual 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.
© 2021 Published by Elsevier Inc.
This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/4.0/) |
| format | Article |
| fullrecord | <record><control><sourceid>ghent</sourceid><recordid>TN_cdi_ghent_librecat_oai_archive_ugent_be_8743552</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>oai_archive_ugent_be_8743552</sourcerecordid><originalsourceid>FETCH-ghent_librecat_oai_archive_ugent_be_87435523</originalsourceid><addsrcrecordid>eNqdT0tKBDEQDaLg4Mwd6gIDbX9wXIooHsB9qE4q3XGqU00-DXMHD20GXLh2Ubyq94O6Ubu2G9pj1zfPt3_2e3VI6atpmsehr-SwU98vkC7BzFFylABGlrVkspBlkSniOl_AYsZEGZxE2JB9vX21igOWMPlcrA_IkCkkzwQOPZdIsIglTjDWrIXqd36sbB08AwYLhkvKFMHSRizrQiHv1Z1DTnT4xQfVvr99vn4cp7mqmq8NBrMW9Bqjmf1GukxXaSR9eurrR233r9AP7OxlTA</addsrcrecordid><sourcetype>Institutional Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development</title><source>DOAJ Directory of Open Access Journals</source><source>Ghent University Academic Bibliography</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><creator>Breite, C ; Melnikov, A ; Turon, A ; de Morais, A. B ; Le Bourlot, C ; Maire, E ; Schöberl, E ; Otero, F ; Mesquita, F ; Sinclair, I ; Costa, J ; Mayugo, J. A ; Guerrero, J. M ; Gorbatikh, L ; McCartney, L. N ; Hajikazemi, Mohammad ; Mehdikhani, M ; Mavrogordato, M. N ; Camanho, P. P ; Tavares, R ; Spearing, S. M ; Lomov, S. V ; Pimenta, S ; Van Paepegem, Wim ; Swolfs, Y</creator><creatorcontrib>Breite, C ; Melnikov, A ; Turon, A ; de Morais, A. B ; Le Bourlot, C ; Maire, E ; Schöberl, E ; Otero, F ; Mesquita, F ; Sinclair, I ; Costa, J ; Mayugo, J. A ; Guerrero, J. M ; Gorbatikh, L ; McCartney, L. N ; Hajikazemi, Mohammad ; Mehdikhani, M ; Mavrogordato, M. N ; Camanho, P. P ; Tavares, R ; Spearing, S. M ; Lomov, S. V ; Pimenta, S ; Van Paepegem, Wim ; Swolfs, Y</creatorcontrib><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 compos-
ite. The voxel size was sufficiently small to recognize individ-
ual 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.
© 2021 Published by Elsevier Inc.
This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/4.0/)</description><identifier>ISSN: 2352-3409</identifier><identifier>EISSN: 2352-3409</identifier><language>eng</language><subject>Fibre breaks ; Fibre-reinforced composites ; Longitudinal tensile failure ; Multidisciplinary ; Stress concentrations ; Synchrotron computed tomography ; Technology and Engineering</subject><creationdate>2021</creationdate><rights>Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) info:eu-repo/semantics/openAccess</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,315,780,784,4024,27860</link.rule.ids></links><search><creatorcontrib>Breite, C</creatorcontrib><creatorcontrib>Melnikov, A</creatorcontrib><creatorcontrib>Turon, A</creatorcontrib><creatorcontrib>de Morais, A. B</creatorcontrib><creatorcontrib>Le Bourlot, C</creatorcontrib><creatorcontrib>Maire, E</creatorcontrib><creatorcontrib>Schöberl, E</creatorcontrib><creatorcontrib>Otero, F</creatorcontrib><creatorcontrib>Mesquita, F</creatorcontrib><creatorcontrib>Sinclair, I</creatorcontrib><creatorcontrib>Costa, J</creatorcontrib><creatorcontrib>Mayugo, J. A</creatorcontrib><creatorcontrib>Guerrero, J. M</creatorcontrib><creatorcontrib>Gorbatikh, L</creatorcontrib><creatorcontrib>McCartney, L. N</creatorcontrib><creatorcontrib>Hajikazemi, Mohammad</creatorcontrib><creatorcontrib>Mehdikhani, M</creatorcontrib><creatorcontrib>Mavrogordato, M. N</creatorcontrib><creatorcontrib>Camanho, P. P</creatorcontrib><creatorcontrib>Tavares, R</creatorcontrib><creatorcontrib>Spearing, S. M</creatorcontrib><creatorcontrib>Lomov, S. V</creatorcontrib><creatorcontrib>Pimenta, S</creatorcontrib><creatorcontrib>Van Paepegem, Wim</creatorcontrib><creatorcontrib>Swolfs, Y</creatorcontrib><title>A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development</title><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 compos-
ite. The voxel size was sufficiently small to recognize individ-
ual 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.
© 2021 Published by Elsevier Inc.
This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/4.0/)</description><subject>Fibre breaks</subject><subject>Fibre-reinforced composites</subject><subject>Longitudinal tensile failure</subject><subject>Multidisciplinary</subject><subject>Stress concentrations</subject><subject>Synchrotron computed tomography</subject><subject>Technology and Engineering</subject><issn>2352-3409</issn><issn>2352-3409</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ADGLB</sourceid><recordid>eNqdT0tKBDEQDaLg4Mwd6gIDbX9wXIooHsB9qE4q3XGqU00-DXMHD20GXLh2Ubyq94O6Ubu2G9pj1zfPt3_2e3VI6atpmsehr-SwU98vkC7BzFFylABGlrVkspBlkSniOl_AYsZEGZxE2JB9vX21igOWMPlcrA_IkCkkzwQOPZdIsIglTjDWrIXqd36sbB08AwYLhkvKFMHSRizrQiHv1Z1DTnT4xQfVvr99vn4cp7mqmq8NBrMW9Bqjmf1GukxXaSR9eurrR233r9AP7OxlTA</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Breite, C</creator><creator>Melnikov, A</creator><creator>Turon, A</creator><creator>de Morais, A. B</creator><creator>Le Bourlot, C</creator><creator>Maire, E</creator><creator>Schöberl, E</creator><creator>Otero, F</creator><creator>Mesquita, F</creator><creator>Sinclair, I</creator><creator>Costa, J</creator><creator>Mayugo, J. A</creator><creator>Guerrero, J. M</creator><creator>Gorbatikh, L</creator><creator>McCartney, L. N</creator><creator>Hajikazemi, Mohammad</creator><creator>Mehdikhani, M</creator><creator>Mavrogordato, M. N</creator><creator>Camanho, P. P</creator><creator>Tavares, R</creator><creator>Spearing, S. M</creator><creator>Lomov, S. V</creator><creator>Pimenta, S</creator><creator>Van Paepegem, Wim</creator><creator>Swolfs, Y</creator><scope>ADGLB</scope></search><sort><creationdate>2021</creationdate><title>A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development</title><author>Breite, C ; Melnikov, A ; Turon, A ; de Morais, A. B ; Le Bourlot, C ; Maire, E ; Schöberl, E ; Otero, F ; Mesquita, F ; Sinclair, I ; Costa, J ; Mayugo, J. A ; Guerrero, J. M ; Gorbatikh, L ; McCartney, L. N ; Hajikazemi, Mohammad ; Mehdikhani, M ; Mavrogordato, M. N ; Camanho, P. P ; Tavares, R ; Spearing, S. M ; Lomov, S. 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composites with continuous scanning using synchrotron
computed tomography (CT). Both composites were cross-ply
laminates, and two specimens were tested for each compos-
ite. The voxel size was sufficiently small to recognize individ-
ual 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.
© 2021 Published by Elsevier Inc.
This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/4.0/)</abstract><oa>free_for_read</oa></addata></record> |
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| source | DOAJ Directory of Open Access Journals; Ghent University Academic Bibliography; EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection |
| subjects | Fibre breaks Fibre-reinforced composites Longitudinal tensile failure Multidisciplinary Stress concentrations Synchrotron computed tomography Technology and Engineering |
| title | A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development |
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