Ultra-fast time-lapse synchrotron radiation CT imaging of compressive failure in unidirectional glass fibre-epoxy composite
<p>This series of ultra-fast X-ray computed tomography datasets were acquired on the TOMCAT beamline at the Swiss Light Source by the composite group at Henry Moseley X-ray Imaging Facility (within the Henry Royce Institute @Manchester).</p> <p>The experiment was designed to help understand the catastrophic failure of unidirectional fibre reinforced composites under compression, as part of Ying Wang's PhD project (<em>Damage Mechanisms Associated with Kink-Band Formation in Unidirectional Fibre Composites</em>) supervised by Prof. Philip J. Withers.</p> <p>A notched unidirectional glass fibre-epoxy composite specimen was loaded in-situ under compression in a tension/compression rig developed at INSA-Lyon. An initial scan of the composite gauge section was acquired before loading (GFRP_Initial.zip). During the in-situ loading process, the composite specimen was imaged statically at 200 N (GFRP_Static_200N.zip) and 600 N (GFRP_Static_600N.zip), after which the acquisition mode was changed to continuous streaming in order to capture the final stages immediately leading up to failure, at 876 N (GFRP_Continuous_876N.zip), 893 N (GFRP_Continuous_893N.zip), 895 N (GFRP_Continuous_895N.zip), and right after collapse (at 79 N, GFRP_Failed.zip).</p> <p>The CT acquisition speed attained 1 tomogram per second. The voxel size of the reconstructed CT data-sets is (1.1 μm)<sup>3</sup>.</p> <p> </p> <p><strong>Update regarding the fibre trajectories on 20 August 2024:</strong></p> <p>The extracted fibre trajectories dataset for Fig.4 in the published paper "<em>Wang, Y., Emerson, M. J., Conradsen, K., Dahl, A. B., Dahl, V. A., Maire, E. and Withers, P. J. (2021). Evolution of Fibre Deflection Leading to Kink-band Formation in Unidirectional Glass Fibre/Epoxy Composite Under Axial Compression. Composites Science and Technology, 213, 108929. " </em>has been added to this new version.</p> <p>Please note that the centre positions of 5229 fibres (the row number of x and y coordinates corresponds to the fibre number) on the 1264 xy CT slices (the column number of x and y coordinates corresponds to the slice number) were stored in this file. The x, y, and z (slice number) coordinates all need to be multiplied by the voxel size of 1.1 μm to get the physical positions of the fibre trajectories.</p> <p> </p> <p><strong>For use of the data, please cite the DOI of the repository </strong><strong>and the relevant papers -</strong></p> <p><em><strong>http://doi.org/10.5281/zenodo.13348028</strong></em></p> <p><em>Wang, Y., Emerson, M. J., Conradsen, K., Dahl, A. B., Dahl, V. A., Maire, E. and Withers, P. J. (2021). Evolution of Fibre Deflection Leading to Kink-band Formation in Unidirectional Glass Fibre/Epoxy Composite Under Axial Compression. Composites Science and Technology, 213, 108929. </em></p> <p><em>Emerson, M. J., Wang, Y., Withers, P. J., Conradsen, K., Dahl, A. B., and Dahl, V. A. (2018). Quantifying fibre reorientation during axial compression of a composite through time-lapse X-ray imaging and individual fibre tracking. Composites Science and Technology, 168, 47-54. </em></p> <p><em>Wang, Y., Garcea, S. C., Lowe, T., Maire, E., Soutis, C. and Withers, P. J. (2016). Ultra-fast time-lapse synchrotron radiographic imaging of compressive failure in CFRP. In ECCM16-16th European Conference on Composite Materials, Munich, Germany.</em></p> <p><em>Garcea, S. C. , Wang, Y. and Withers, P. J. (2018). X-ray computed tomography of polymer composites, Composites Science and Technology (156), 305-319.</em></p> <p><em>Wang, Y., Garcea, S. C. and Withers, P. J. (2018). Computed Tomography of Composites in Comprehensive Composite<br>Materials II (7), 101-118. Eds. Beaumont PWR, Zweben CH. Elsevier.</em></p> <p> </p> <p><strong>Contact details of the authors: </strong></p> <p>Ying Wang - ywang1@buaa.edu.cn</p> <p>Philip J. Withers - p.j.withers@manchester.ac.uk</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 12
- Reuse readiness
- 8
- Engagement
- 4