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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Yentl Swolfs
Format: Dataset
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Yentl Swolfs
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.
doi_str_mv 10.17632/6f2cv54ym8.3
format Dataset
fullrecord <record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_17632_6f2cv54ym8_3</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_17632_6f2cv54ym8_3</sourcerecordid><originalsourceid>FETCH-datacite_primary_10_17632_6f2cv54ym8_33</originalsourceid><addsrcrecordid>eNqVj01OAzEMRrNhgQpL9r5AS6fTH7YIgThA95GbOG1UJx4lnpHmDhyaUCGxZmF98qdnyc-Yp2696g77fvO8Dxs37bZzeln19-brFeqc3aWIFsngJA2jkgeVJOeCw2UGj4qVFIIUmJBj22NDJQBLPkcdfczIoJRrZIKAkcdCkMQTVzi1Ww-ND_HU2jZ4BcweHI9VqYCniViGRFkfzF1ArvT4mwuz_Hg_vn0uf15wUckOJSYss-3W9mZj_2xs3_-X_waP1V1L</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>dataset</recordtype></control><display><type>dataset</type><title>A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development</title><source>DataCite</source><creator>Yentl Swolfs</creator><creatorcontrib>Yentl Swolfs</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 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.</description><identifier>DOI: 10.17632/6f2cv54ym8.3</identifier><language>eng</language><publisher>Mendeley</publisher><subject>Composite Materials Property ; Computational Materials Science ; D Computed Tomography ; Materials Science ; Synchrotron Radiation</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,1894</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.17632/6f2cv54ym8.3$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Yentl Swolfs</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 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.</description><subject>Composite Materials Property</subject><subject>Computational Materials Science</subject><subject>D Computed Tomography</subject><subject>Materials Science</subject><subject>Synchrotron Radiation</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2021</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNqVj01OAzEMRrNhgQpL9r5AS6fTH7YIgThA95GbOG1UJx4lnpHmDhyaUCGxZmF98qdnyc-Yp2696g77fvO8Dxs37bZzeln19-brFeqc3aWIFsngJA2jkgeVJOeCw2UGj4qVFIIUmJBj22NDJQBLPkcdfczIoJRrZIKAkcdCkMQTVzi1Ww-ND_HU2jZ4BcweHI9VqYCniViGRFkfzF1ArvT4mwuz_Hg_vn0uf15wUckOJSYss-3W9mZj_2xs3_-X_waP1V1L</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Yentl Swolfs</creator><general>Mendeley</general><scope>DYCCY</scope><scope>PQ8</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>Yentl Swolfs</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_17632_6f2cv54ym8_33</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Composite Materials Property</topic><topic>Computational Materials Science</topic><topic>D Computed Tomography</topic><topic>Materials Science</topic><topic>Synchrotron Radiation</topic><toplevel>online_resources</toplevel><creatorcontrib>Yentl Swolfs</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yentl Swolfs</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development</title><date>2021</date><risdate>2021</risdate><abstract>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.</abstract><pub>Mendeley</pub><doi>10.17632/6f2cv54ym8.3</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier DOI: 10.17632/6f2cv54ym8.3
ispartof
issn
language eng
recordid cdi_datacite_primary_10_17632_6f2cv54ym8_3
source DataCite
subjects Composite Materials Property
Computational Materials Science
D Computed Tomography
Materials Science
Synchrotron Radiation
title A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T09%3A37%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.au=Yentl%20Swolfs&rft.date=2021&rft_id=info:doi/10.17632/6f2cv54ym8.3&rft_dat=%3Cdatacite_PQ8%3E10_17632_6f2cv54ym8_3%3C/datacite_PQ8%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true