2018
DOI: 10.1007/s11665-018-3275-0
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Numerical Study and Experimental Validation of Effect of Varying Fiber Crack Density on Stiffness Reduction in CFRP Composites

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Cited by 6 publications
(7 citation statements)
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“…The detailed finite element (FE) model has been described elsewhere. 4,42 Fiber crack density as obtained from the experiment 2 was used as input in the FEA. A fiber crack was introduced in the FE model by deleting a row of elements of the fiber.…”
Section: Resultsmentioning
confidence: 99%
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“…The detailed finite element (FE) model has been described elsewhere. 4,42 Fiber crack density as obtained from the experiment 2 was used as input in the FEA. A fiber crack was introduced in the FE model by deleting a row of elements of the fiber.…”
Section: Resultsmentioning
confidence: 99%
“…d. Material properties of the fiber and matrix are taken from the literature. 4,47 e. The undamaged UD CFRP composite consists of long contiguous cylindrical fibers reinforced in polymer matrix. All fibers are oriented along the same direction.…”
Section: Discussionmentioning
confidence: 99%
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“…Thus, the PDI model helps in determining fiber crack density in the unidirectional FRP composite subjected to the on-axis fatigue loading during the damage initiation phase. This microstructural damage parameter can further be used to predict the mechanical properties (stiffness degradation 31,32 or reduction in the thermal conductivity 33 ) of the damaged composite. This could also be used to predict the fatigue damages in the variable amplitude loading.…”
Section: Discussionmentioning
confidence: 99%
“…In the FEM, the representative unit cell (RUC) incorporated microstructural details to predict the mechanical behavior of the fiber reinforced composites. 25,26 However, the RUC model could not be used to simulate the double-notch shear test. Based on the microstructure geometry of the 3D orthogonal woven preform and the epoxy resin, the multi-scale (micro-, meso-, and macro-scale) geometrical models were established as shown in Figure 4.…”
Section: Multi-scale Geometrical Modelmentioning
confidence: 99%