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Effect of the stochastic nature of the constituents parameters on the predictability of the elastic properties of fibrous nano-composites

机译:成分参数的随机性对纤维纳米复合材料弹性性能可预测性的影响

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摘要

The stochastic nature and the variability of the constituents of nano-composites materials affect the predictability of their properties. The few studies that dealt with the probabilistic nature of the microme-chanics of fibrous nano-composites, focused on the effect of statistical variation of individual parameters. This study presents a systematic analysis of the influence of parameter randomness on the theoretical predictions of the elastic properties of nano-composites. To this end, Monte-Carlo simulations are performed using a modified version of the Mori-Tanaka Mean-Field theory under different combinations of parameter randomness. The results indicate that the randomness in interface imperfection, fibre orientation and length, and fibre stiffness have a significant influence on the variability of the composite properties. The analysis provided an insight into the sensitivity of the predictions of the elastic tensor to the probabilistic variations of the aforementioned parameters. A probabilistic model for the effective properties is called for in place of deterministic models.
机译:纳米复合材料成分的随机性和可变性影响其性能的可预测性。涉及纤维纳米复合材料微力学概率性质的少数研究集中在各个参数统计变化的影响上。这项研究提出了参数随机性对纳米复合材料弹性特性理论预测的影响的系统分析。为此,在参数随机性的不同组合下,使用Mori-Tanaka均值场理论的改进版本进行了蒙特卡洛模拟。结果表明,界面缺陷,纤维取向和长度以及纤维硬度的随机性对复合材料性能的变异性有显着影响。该分析提供了对弹性张量的预测对前述参数的概率变化的敏感性的见解。需要使用有效模型的概率模型来代替确定性模型。

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