Elastoplastic shear-lag analysis of single-fiber composites and strength prediction of unidirectional multi-fiber composites |
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| Affiliation: | 1. Smart Structure Research Center, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono, Tsukuba City 305-8568, Japan;2. Department of Advanced Energy, Graduate School of Frontier Sciences, The University of Tokyo, c/o Komaba Open Laboratory (KOL), 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan;1. Departamento de Ingeniería Mecánica y Diseño Industrial, Escuela Superior de Ingeniería, Universidad de Cádiz, Avenida de la Universidad de Cádiz 10, 11519 Puerto Real, Cádiz, Spain;2. Grupo de Elasticidad y Resistencia de Materiales, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, Camino de los Descubrimienos s/n, 41092 Sevilla, Spain;1. IMT School for Advanced Studies Lucca, Piazza San Francesco 19, 55100 Lucca, Italy;2. AMADE, Polytechnic School, Universitat de Girona, Campus Montilivi s/n, 17071 Girona, Spain;3. Elasticity and Strength of Materials Group, School of Engineering, Universidad de Sevilla, Camino de los Descubrimientos s/n, 41092 Seville, Spain;1. Department of Materials Engineering, KU Leuven, Kasteelpark Arenberg 44 Box 2450, 3001 Leuven, Belgium;2. Bristol Composites Institute (ACCIS), University of Bristol, BS8 1TR Bristol, UK;3. Department of Mechanical Engineering, University of Bath, BA2 7AY Bath, UK;1. Mechanical Engineering Department, Hacettepe University, Ankara, Turkey;2. Mechanical Engineering Department, Middle East Technical University, Ankara, Turkey;3. Department of Materials Engineering, KU Leuven, Kasteelpark Arenberg 44, 3001 Leuven, Belgium |
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| Abstract: | A new procedure is proposed to predict the strength of multi-fiber composite based on the single fiber composite test. First, the flaw distribution in an embedded fiber is estimated with the statistical simulation. The stress distribution in the simulation is obtained by the elastoplastic shear-lag analysis considering the linear strain hardening effect of matrix. The simulated results are found to fit well with the experimental data, which shows the validity of the present simulation to estimate the statistical strength parameters for the embedded fiber. Then, the multi-fiber composite strength is predicted based on the obtained statistical fiber strength parameters. The stress profile in the multi-fiber composite is calculated with the elastoplastic three-dimensional (3D) shear-lag-analysis. The predicted strength via the weakest size scaling technique has a good agreement with our previous experimental data. |
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