4.7 Article

Mechanical model of stiffness coefficients prediction of curved fiber reinforced composites considering fiber distribution and aggregation

期刊

COMPOSITE STRUCTURES
卷 321, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.compstruct.2023.117277

关键词

Curved fibers; Theoretical model; Fiber aggregation; Ordered and disordered distribution; Stiffness coefficients prediction

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In this paper, a mechanical model has been developed to predict the stiffness coefficients of curved fiber reinforced composites. The model quantitatively describes the geometry of curved fibers using curve parameters and orientation angles and introduces distribution functions to account for variations in these parameters. The model also includes functions to express the probability and degree of fiber aggregation. Validation examples demonstrate the accuracy of the model, and numerical examples show the predicted stiffness coefficients of different composites with ordered and disordered distributed fibers, highlighting the universality of the model.
In this paper, a mechanical model is built to numerically predict the stiffness coefficients of curved fiber reinforced composites. Aiming to quantitatively describe the geometrical morphology of a curved fiber, a curve parameter and an orientation angle are both defined. For a composite with abundant curved fibers, distribution functions are introduced to describe the various curve parameters and angles. To quantitatively express the probability and degree of fiber aggregation, a probability function and an aggregating parameter are also proposed. Validation examples for composite with unidirectional straight fibers, orthogonal distributed straight fibers or unidirectional curve fibers are given to verify the correctness and accuracy of the current model as well as the numerical process. Numerical examples considering composites with ordered and disordered distributed fibers are carried out to show the predicted stiffness coefficients of typical curved fiber reinforced composites. Universality of the model is obvious through the numerical examples.

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