2016
DOI: 10.1016/j.compscitech.2016.07.030
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Fibre failure assessment in carbon fibre reinforced polymers under fatigue loading by synchrotron X-ray computed tomography

Abstract: Please cite this article as: Garcea SC, Sinclair I, Spearing SM, Fibre failure assessment in carbon fibre reinforced polymers under fatigue loading by synchrotron X-ray computed tomography, Composites Science and Technology (2016), doi: 10.1016/j.compscitech.2016 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting… Show more

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Cited by 45 publications
(19 citation statements)
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“…Two failure cycles ( = N 10 fl 6 and = N 10 fl 7 ) related to fatigue limit were considered for the determination of the failure threshold stiffness, and then the whole − S N curve corresponding to each failure cycles. Compared to the S-N curve obtained by the traditional testing method, the − S N curve corresponding to = N 10 fl 7 for UD CFRP laminates is inside the 95% confidence intervals, while the predicted results for triaxially braided CFRP laminates are higher than experimental data. The − S N curve corresponding to = N 10 fl 6 is recommended for both of the two types of composite materials because the predicted results are relatively more conservative.…”
Section: Discussionmentioning
confidence: 60%
See 1 more Smart Citation
“…Two failure cycles ( = N 10 fl 6 and = N 10 fl 7 ) related to fatigue limit were considered for the determination of the failure threshold stiffness, and then the whole − S N curve corresponding to each failure cycles. Compared to the S-N curve obtained by the traditional testing method, the − S N curve corresponding to = N 10 fl 7 for UD CFRP laminates is inside the 95% confidence intervals, while the predicted results for triaxially braided CFRP laminates are higher than experimental data. The − S N curve corresponding to = N 10 fl 6 is recommended for both of the two types of composite materials because the predicted results are relatively more conservative.…”
Section: Discussionmentioning
confidence: 60%
“…A number of Non-Destructive Evaluation (NDE) methods, such as radiography [5][6][7], acoustic emission [8][9][10][11] and infrared thermography [12][13][14][15][16][17] have been employed to in situ monitor and characterize damage evolution within metals and composites under cyclic loading. Among these methods, infrared thermography is advantageous for its real-time and non-contact measurement during fatigue tests.…”
Section: Introductionmentioning
confidence: 99%
“…Figures 5 and 6 show a good agreement between model predictions and experimental data. Nevertheless, the model predicts a large amount of variability for the total number of fibre breaks (see Figure 5b); this means that experimental data obtained with one specimen [5,6] only is not sufficient to fully validate the model.…”
Section: Discussionmentioning
confidence: 99%
“…Figure 5 shows the accumulation and clustering of fibre breaks in a UD carbon/epoxy specimen under cyclic longitudinal tension. The experimental results were obtained by Garcea et al [6] through ex-situ high-resolution computed tomography of the same carbon/epoxy material as analysed in Figure 4, but with a slightly different specimen geometry (see Table 1). …”
Section: Accumulation and Clustering Of Fibre Breaksmentioning
confidence: 98%
“…Only a few micromechanical approaches to predict fatigue of UD composite under cyclic longitudinal tension can be found in the literature. Ogin [43] used an analytical approach to predict the lifetime and residual strength of both UD and cross-ply composite laminates, by taking into account the fatigue growth of fibre/matrix interface debonds, as well as the statistical distribution of flaws along the fibres; however, the model neglected the formation of clusters of fibre-breaks, which has been recently shown to affect the failure process under fatigue [44]. Qian et al [37] developed a FE fatigue model for UD composites, where the fatigue damage of unit-cells with 7 and 45 fibres was analysed and, with a multi-scale approach, the fatigue life of coupon-sized specimens were predicted; the model, besides being computationally expensive, also over-estimated the fatigue life of the coupons.…”
Section: Introductionmentioning
confidence: 99%