2026-04-14T03:45:48Zhttps://recercat.cat/oai/request

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

A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development Breite, Christian Melnikov, Alexander Turon Travesa, Albert Morais, Alfredo Balacó de Le Bourlot, Christophe Maire, Eric Schöberl, Erich Otero, Fermin Mesquita, Francisco Sinclair, Ian Costa i Balanzat, Josep Mayugo Majó, Joan Andreu Guerrero Garcia, José Manuel Gorbatikh, Larissa McCartney, Neil Hajikazemi, Mohammad Mehdikhani, Mahoor Mavrogordato, Mark Noel Camanho, Pedro Manuel Ponces Rodrigues de Castro Tavares, Rodrigo Paiva Spearing, S.M. Lomov, Stepan V. Pimenta, Soraia Van Paepegem, Wim Swolfs, Yentl Compostos polimèrics Assaigs de materials Resistència de materials Polymeric composites Materials testing Strength of materials 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 2021-12 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion peer-reviewed http://hdl.handle.net/10256/26206 34877374 http://hdl.handle.net/10256/26206 eng info:eu-repo/semantics/altIdentifier/doi/10.1016/j.dib.2021.107590 info:eu-repo/semantics/altIdentifier/issn/2352-3409 Reconeixement 4.0 Internacional http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess application/pdf Elsevier Data in Brief, 2021, vol. 39, art.núm. 107590 Articles publicats (D-EMCI) Breite, Christian Melnikov, Alexander Turon Travesa, Albert de Morais, Alfredo Balacó Le Bourlot, Christophe Maire, Eric Schöberl, Erich Otero, Fermin Mesquita, Francisco Sinclair, Ian Costa i Balanzat, Josep Mayugo Majó, Joan Andreu Guerrero Garcia, José Manuel Gorbatikh, Larissa McCartney, Neil Hajikazemi, Mohammad Mehdikhani, Mahoor Mavrogordato, Mark Noel Camanho, Pedro Manuel Ponces Rodrigues de Castro Tavares, Paulo Spearing, S.M. Lomov, Stepan V. Pimenta, Soraia Van Paepegem, Wim Swolfs, Yentl 2021 A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development Data in Brief 39 art.núm. 107590