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A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development.
Breite, C; Melnikov, A; Turon, A; de Morais, A B; Bourlot, C Le; Maire, E; Schöberl, E; Otero, F; Mesquita, F; Sinclair, I; Costa, J; Mayugo, J A; Guerrero, J M; Gorbatikh, L; McCartney, L N; Hajikazemi, M; Mehdikhani, M; Mavrogordato, M N; Camanho, P P; Tavares, R; Spearing, S M; Lomov, S V; Pimenta, S; Van Paepegem, W; Swolfs, Y.
  • Breite C; Department of Materials Engineering, KU Leuven, Kasteelpark Arenberg 44 box 2450, Leuven 3001, Belgium.
  • Melnikov A; Department of Materials Engineering, KU Leuven, Kasteelpark Arenberg 44 box 2450, Leuven 3001, Belgium.
  • Turon A; Department of Materials Engineering, KU Leuven, Kasteelpark Arenberg 44 box 2450, Leuven 3001, Belgium.
  • de Morais AB; Department of Mechanical Engineering, RISCO research unit, University of Aveiro, Campus Santiago, Aveiro 3810-193, Portugal.
  • Bourlot CL; Universite de Lyon, INSA-Lyon, MATEIS, CNRS UMR5510, Villeurbanne F-69621, France.
  • Maire E; Universite de Lyon, INSA-Lyon, MATEIS, CNRS UMR5510, Villeurbanne F-69621, France.
  • Schöberl E; Engineering Materials, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK.
  • Otero F; INEGI, Rua Dr. Roberto Frias, 400, Porto 4200-465, Portugal.
  • Mesquita F; Department of Materials Engineering, KU Leuven, Kasteelpark Arenberg 44 box 2450, Leuven 3001, Belgium.
  • Sinclair I; Engineering Materials, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK.
  • Costa J; AMADE, Polytechnic School, University of Girona, Campus Montilivi s/n, Girona E-17003, Spain.
  • Mayugo JA; AMADE, Polytechnic School, University of Girona, Campus Montilivi s/n, Girona E-17003, Spain.
  • Guerrero JM; AMADE, Polytechnic School, University of Girona, Campus Montilivi s/n, Girona E-17003, Spain.
  • Gorbatikh L; Department of Materials Engineering, KU Leuven, Kasteelpark Arenberg 44 box 2450, Leuven 3001, Belgium.
  • McCartney LN; Department of Engineering, Materials & Electrical Science, National Physical Laboratory, Teddington, Middlesex TW11 0LW, United Kingdom.
  • Hajikazemi M; Department of Materials, Textiles and Chemical Engineering, Faculty of Engineering and Architecture, Ghent University, Technologiepark Zwijnaarde 46, Ghent, Belgium.
  • Mehdikhani M; Department of Materials Engineering, KU Leuven, Kasteelpark Arenberg 44 box 2450, Leuven 3001, Belgium.
  • Mavrogordato MN; Engineering Materials, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK.
  • Camanho PP; INEGI, Rua Dr. Roberto Frias, 400, Porto 4200-465, Portugal.
  • Tavares R; DEMec, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, Porto 4200-465, Portugal.
  • Spearing SM; INEGI, Rua Dr. Roberto Frias, 400, Porto 4200-465, Portugal.
  • Lomov SV; DEMec, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, Porto 4200-465, Portugal.
  • Pimenta S; Engineering Materials, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK.
  • Van Paepegem W; Department of Materials Engineering, KU Leuven, Kasteelpark Arenberg 44 box 2450, Leuven 3001, Belgium.
  • Swolfs Y; Department of Mechanical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.
Data Brief ; 39: 107590, 2021 Dec.
Article en En | MEDLINE | ID: mdl-34877374
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.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2021 Tipo del documento: Article