2011
DOI: 10.1016/j.compscitech.2011.05.015
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Interfacial damage in biopolymer composites reinforced using hemp fibres: Finite element simulation and experimental investigation

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Cited by 23 publications
(12 citation statements)
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“…Thus, interfacial damage and de-bonding features are not included in the present model. These features have begun to receive treatment for natural fiber (hemp) composites using a specialized single fiber composite for FEA models and experiments [40]. Knowing the failure mechanisms and strengths of wheat-straw composites, the models developed in the present manuscript could be extended to estimate the bond failure by generalizing the interfacial modeling.…”
Section: Finite Element Modelingmentioning
confidence: 99%
“…Thus, interfacial damage and de-bonding features are not included in the present model. These features have begun to receive treatment for natural fiber (hemp) composites using a specialized single fiber composite for FEA models and experiments [40]. Knowing the failure mechanisms and strengths of wheat-straw composites, the models developed in the present manuscript could be extended to estimate the bond failure by generalizing the interfacial modeling.…”
Section: Finite Element Modelingmentioning
confidence: 99%
“…Hbib et al. 109 proposed a 2D FE model for a starch composite reinforced by a single hemp fiber to study the interfacial damage. The strength of interfacial adhesion and the fiber orientation were investigated.…”
Section: Fe Models For Nfrcsmentioning
confidence: 99%
“…Unfortunately, material law implementation is not yet fully revisited leaving an open area for research in this direction [138]. A typical research direction would be to explore interfacial effect in terms of limited load transfer and damage kinetics at the light of results achieved for composite materials [139,140]. This direction is fully justified by the fact that lack of performance is more associated to the weak adhesion between filaments.…”
Section: Challenges For Am Topology Optimisationmentioning
confidence: 99%