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Modeling of Compressive Strength for Unidirectional Fiber Reinforced Composites with Nanoparticle Modified Epoxy Matrix

机译:纳米粒子改性环氧树脂基单向纤维增强复合材料的抗压强度建模

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摘要

Incorporation of nanoparticles into polymer matrix was found to considerably improve the compressive performance of unidirectional fiber reinforced composites. In our experimental study, an increase by 62.7% in the longitudinal compressive strength of unidirectional carbon fiber reinforced composites is attained by dispersing 8.7 vol.% SiO nanoparticles into epoxy matrix. A compressive strength model is established to quantitatively describe the reinforcing effects of nanoparticles, which combines a modified microbuckling model for unidirectional fiber reinforced composites and a constitutive model for nanocomposite matrices under compression. In the two models, the coupling of damage and plasticity is considered to contribute to the nonlinear response of nanocomposite matrix. The proposed strength model demonstrates excellent prediction capability in experimental verification. A small relative deviation below 8.2% is achieved between the predicted compressive strength of unidirectional fiber reinforced composites and the measured values, which is at the same level of random error in experiments.
机译:发现将纳米颗粒掺入聚合物基质中可显着改善单向纤维增强复合材料的压缩性能。在我们的实验研究中,通过将8.7%(体积)的SiO2纳米颗粒分散到环氧基质中,单向碳纤维增强复合材料的纵向压缩强度提高了62.7%。建立了抗压强度模型以定量描述纳米颗粒的增强效果,该模型结合了单向纤维增强复合材料的改进微屈曲模型和受压下纳米复合材料基质的本构模型。在这两个模型中,损伤与可塑性的耦合被认为有助于纳米复合材料基体的非线性响应。所提出的强度模型在实验验证中显示出出色的预测能力。在单向纤维增强复合材料的预测抗压强度与测量值之间实现了低于8.2%的较小相对偏差,该偏差在实验中处于相同的随机误差水平。

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