2026-04-17T00:34:54Zhttps://recercat.cat/oai/request

oai:recercat.cat:10256/262062025-02-04T00:07:08Zcom_2072_452955com_2072_2054col_2072_453061

00925njm 22002777a 4500 dc Breite, Christian author Melnikov, Alexander author Turon Travesa, Albert author Morais, Alfredo Balacó de author Le Bourlot, Christophe author Maire, Eric author Schöberl, Erich author Otero, Fermin author Mesquita, Francisco author Sinclair, Ian author Costa i Balanzat, Josep author Mayugo Majó, Joan Andreu author Guerrero Garcia, José Manuel author Gorbatikh, Larissa author McCartney, Neil author Hajikazemi, Mohammad author Mehdikhani, Mahoor author Mavrogordato, Mark Noel author Camanho, Pedro Manuel Ponces Rodrigues de Castro author Tavares, Rodrigo Paiva author Spearing, S.M. author Lomov, Stepan V. author Pimenta, Soraia author Van Paepegem, Wim author Swolfs, Yentl author 2021-12 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 http://hdl.handle.net/10256/26206 Compostos polimèrics Assaigs de materials Resistència de materials Polymeric composites Materials testing Strength of materials A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development