2016
DOI: 10.1016/j.compstruct.2016.06.051
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A random waveness model for the stiffness and strength evaluation of 3D woven composites

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Cited by 26 publications
(12 citation statements)
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“…Yarn structure is sensitive to the nonlinear mechanical response of fabrics. 31 It requires the model to be able to characterize different types of yarn fluctuations and calculate yarn curve change in the fabric. Different yarn curves can be conveniently incorporated in the model by introducing geometric factors G F , G H , G HH .…”
Section: Shape Function and Weaving Parametersmentioning
confidence: 99%
“…Yarn structure is sensitive to the nonlinear mechanical response of fabrics. 31 It requires the model to be able to characterize different types of yarn fluctuations and calculate yarn curve change in the fabric. Different yarn curves can be conveniently incorporated in the model by introducing geometric factors G F , G H , G HH .…”
Section: Shape Function and Weaving Parametersmentioning
confidence: 99%
“…The initial misalignments are usually reflected as fiber waviness or folds. Zhong et al (2016) proposed a random waviness model which considered the fiber tows' random waviness to investigate the tensile properties of 3D woven composites.…”
Section: The Effect Of the Fiber Initial Misalignment Anglementioning
confidence: 99%
“…The stress value of fiber bundles with better parallelism during compression is lower than that of fiber bundles with a parallelism difference. 21 Thus, the degree of discreteness and torsion degree of fibers distribution are adjusted by σ and κ in the numerical simulation platform, respectively, so as to adjust the relationship between compressive load and fiber deformation. The curves of compressive load and the change in height compared numerical simulation with actual working conditions of the preform are illustrated in Figure 9.…”
Section: Resultsmentioning
confidence: 99%