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Multiscale Stochastic Analysis of FRP based on variability in fiber volume fraction, epoxy stiffness and strength

机译:基于纤维体积分数,环氧刚度和强度变化的FRP多尺度随机分析

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For accurate prediction of composite failure, microstructural variability must be considered. The distribution of epoxy stiffness and hardness were determined by nanoindentation and used in stochastic finite element modeling. Another key microstructural feature, fiber volume fraction variability, was determined by image processing of an SEM image. Stochastic failure analysis was implemented on a micromechanics model of hexagonal fiber packing to predict the initiation of failure under multiaxial loadings. Three failure criteria were employed for characterization of failure: maximum stress, von Mises, and Christensen. Failure envelopes were developed for stochastic and average models. The results revealed that the variability in epoxy strength influence the failure behavior significantly, whereas, stiffness variability has minimal effect.
机译:为了准确预测复合材料的破坏,必须考虑微观结构的变异性。环氧刚度和硬度的分布通过纳米压痕确定,并用于随机有限元建模。另一个关键的微结构特征,纤维体积分数可变性,是通过对SEM图像进行图像处理来确定的。在六角形纤维堆积的微力学模型上进行了随机破坏分析,以预测多轴载荷下破坏的开始。三种失效准则用于表征失效:最大应力,冯·米塞斯和克里斯滕森。失效包络是为随机模型和平均模型开发的。结果表明,环氧强度的变化对破坏行为有显着影响,而刚度变化的影响最小。

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