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Prediction of size effects in open-hole laminates using only the Young’s modulus, the strength, and the R-curve of the 0° ply

Furtado, C. and Arteiro, A. and Bessa, M. A. and Wardle, B. L. and Camanho, P. P. (2017) Prediction of size effects in open-hole laminates using only the Young’s modulus, the strength, and the R-curve of the 0° ply. Composites Part A: Applied Science and Manufacturing, 101 . pp. 306-317. ISSN 1359-835X.

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Advanced non-linear Finite Element models for the strength prediction of composite laminates normally result in long computing times that are not suitable for preliminary sizing and optimisation of structural details. Macro-mechanical analytical models, in spite of providing quick predictions, are based on properties determined from tests performed at the laminate level, making preliminary design and optimisation of composite structures still too costly in terms of testing requirements. To overcome these disadvantages, an analytical framework is proposed to predict the notched response of balanced carbon fibre-reinforced polymer laminates using only three ply properties as inputs: the longitudinal Young’s modulus, the longitudinal strength, and the R-curve of the 0° plies. This framework is based on invariant-based approaches to predict the stiffness and the strength of general laminates, and an analytical model to estimate the R-curve of balanced laminates. These laminate properties are then used in a Finite Fracture Mechanics model to predict size effects. The predictions for open-hole tension and compression tests are compared with experimental results obtained from the literature for five different material systems. Good agreement is observed considering that only three ply properties are used as inputs for the analytical framework.

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Additional Information:© 2017 Elsevier Ltd. Received 1 August 2016, Revised 18 February 2017, Accepted 16 April 2017, Available online 8 July 2017.
Subject Keywords:A. Polymer-matrix composites (PMCs); B. Fracture; C. Analytical modelling
Record Number:CaltechAUTHORS:20170711-083653840
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:78931
Deposited By: Tony Diaz
Deposited On:11 Jul 2017 22:08
Last Modified:03 Oct 2019 18:13

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