1999
DOI: 10.1080/107594199305476
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Predicting Progressive Delamination of Composite Material Specimens via Interface Elements

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Cited by 157 publications
(104 citation statements)
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“…Some analytical and theoretical models simulated via finite element method (FEM) are also used for predicting interlaminar delamination in composite structures (Chen, 1999). The computed results have been very similar and in close agreement with both the experimental results and solutions obtained from a corrected beam theory (Diaz, 2007).…”
Section: Introductionsupporting
confidence: 62%
“…Some analytical and theoretical models simulated via finite element method (FEM) are also used for predicting interlaminar delamination in composite structures (Chen, 1999). The computed results have been very similar and in close agreement with both the experimental results and solutions obtained from a corrected beam theory (Diaz, 2007).…”
Section: Introductionsupporting
confidence: 62%
“…investigation in the open literature and are becoming widely used for the prediction of composites delamination failure [4,6,7,11,12]. A review by Hallett [13] describes more fully many of the different formulations that have been investigated and their applications to composite materials and structures.…”
Section: Formulations Of Cohesive Elements In Abaqusmentioning
confidence: 99%
“…It should be noted that so far there are no reported fundamental fracture tests for such material. The fracture energy and interlaminar material strength given in Table 2 are trial ones based on literature for other composites [4,5,6,7]. This affects the accuracy of comparison between modelling prediction and test results since only approximate values were assumed.…”
Section: Geometry Materials Properties and Loadingmentioning
confidence: 99%
“…Therefore, a mixed mode can be decomposed into any three of the four pure modes given in Eqs. (6) and (7). In this work , and are used.…”
Section: Nomenclaturementioning
confidence: 99%
“…Several recent research works on the topic are quoted here among many others. These are Chen et al [7], Chen [8], Zou et al [9], Wang and Qiao [10], Li et al [11], Nguyen and Levy [12], Yan and Shang [13] and Ouyang and Li [14].…”
Section: Introductionmentioning
confidence: 99%