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Evaluation methods for predicting the elastic constants of C/Epoxy plain-weave composites by considering the realistic mesostructures

机译:通过考虑逼真的介性结构来预测C /环氧树脂织物复合材料的弹性常数的评价方法

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摘要

Variabilities of mesostructures existing in textile composites can affect their mechanical properties. Most of the deterministic mechanical models are based on the assumptions of ideal Representative Volume Element, which cannot predict the mechanical properties accurately. Two analytical models predicting the elastic constants of C/Epoxy plain-weave composites by considering the realistic mesostructures are presented in this paper. These models utilize the variable metric stochastic theory to introduce the fluctuations of yarn feature parameters (yarn path and elliptical cross-section parameters) into the model of macro elastic properties. C/Epoxy plain-weave composite is taken as an example to quantify the influences of realistic yarn feature parameters on the elastic constants of the composite. The predicted elastic constants by analytical models and finite element method are verified by the results of mechanical experiments. It can be concluded that for C/Epoxy plain-weave composite the stochastic fluctuations of yarn feature parameters reduce in-plane elastic moduli by a maximum of 4%, and increase the in-plane shear modulus and Poisson's ratio by a maximum of 15% and 33%, respectively.
机译:纺织复合材料中存在的腹部结构的可变性能够影响其机械性能。大多数确定性机械模型基于理想代表体积元件的假设,其无法精确地预测机械性能。本文提出了一种预测C /环氧树脂织物复合材料的弹性常数的两种分析模型。这些模型利用可变度量随机理论,将纱线特征参数(纱线路径和椭圆形横截面参数)的波动引入宏弹性特性模型。 C /环氧普通编织复合材料是为了量化现实纱线特征参数对复合材料弹性常数的影响。通过机械实验结果验证了通过分析模型和有限元方法进行了预测的弹性常数。可以得出结论,对于C /环氧树脂织物复合复合,纱线特征参数随机波动减少了最多4%的面内弹性模量,并将面内剪切模量和泊松的比例增加了最多15%分别为33%。

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