A hybrid embedded cohesive element method for predicting matrix cracking in composites

Joosten, M, Dingle, M, Mouritz, A, Afaghi Khatibi, A, Agius, S and Wang, C 2016, 'A hybrid embedded cohesive element method for predicting matrix cracking in composites', Composite Structures, vol. 136, pp. 554-565.

Document type: Journal Article
Collection: Journal Articles

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Title A hybrid embedded cohesive element method for predicting matrix cracking in composites
Author(s) Joosten, M
Dingle, M
Mouritz, A
Afaghi Khatibi, A
Agius, S
Wang, C
Year 2016
Journal name Composite Structures
Volume number 136
Start page 554
End page 565
Total pages 12
Publisher Elsevier
Abstract The complex architecture of many fibre-reinforced composites makes the generation of finite element meshes a labour-intensive process. The embedded element method, which allows the matrix and fibre reinforcement to be meshed separately, offers a computationally efficient approach to reduce the time and cost of meshing. In this paper we present a new approach of introducing cohesive elements into the matrix domain to enable the prediction of matrix cracking using the embedded element method. To validate this approach, experiments were carried out using a modified Double Cantilever Beam with ply drops, with the results being compared with model predictions. Crack deflection was observed at the ply drop region, due to the differences in stiffness, strength and toughness at the bi-material interface. The new modelling technique yields accurate predictions of the failure process in composites, including fracture loads and crack deflection path.
Subject Aerospace Structures
Numerical Modelling and Mechanical Characterisation
Keyword(s) Cohesive elements
Composite materials
Embedded element method
Fibre bridging
DOI - identifier 10.1016/j.compstruct.2015.10.030
Copyright notice © 2015 Elsevier Ltd.
ISSN 0263-8223
Additional Notes Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Citation counts: TR Web of Science Citation Count  Cited 10 times in Thomson Reuters Web of Science Article | Citations
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