A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development

• Type: Other Publications
• Date: 2021

Authors

Breite, C (Author) Other; Melnikov, A (Author) Other; Turon, A (Author) Other; de Morais, AB (Author) Other; Le Bourlot, C (Author) Other; Maire, E (Author) Other; Schoberl, E (Author) Other; Otero, F (Author) Other; Mesquita, F (Author) Other; Sinclair, I (Author) Other; Costa, J (Author) Other; Mayugo, JA (Author) Other; Guerrero, JM (Author) Other; Gorbatikh, L (Author) Other; McCartney, LN (Author) Other; Hajikazemi, M (Author) Other; Mehdikhani, M (Author) Other; Mavrogordato, MN (Author) Other; Camanho, PP (Author) FEUP; Tavares, R (Author) Other; Spearing, SM (Author) Other; Lomov, SV (Author) Other; Pimenta, S (Author) Other; Van Paepegem, W (Author) Other; Swolfs, Y (Author) Other

Other information

Authenticus ID: P-00V-TG9

DOI: 10.1016/j.dib.2021.107590

Abstract (EN): 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 degrees 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) 2021 Published by Elsevier Inc.

Language: English

Type (Professor's evaluation): Scientific