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A Monte Carlo Finite Element Method for Determining the Young's Modulus of Polymer Nanocomposites using Nanoindentation Data

机译:使用纳米压痕数据确定聚合物纳米复合材料杨氏模量的蒙特卡罗有限元方法

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This article presents a Monte Carlo finite element method (MCFEM) for determining the Young's modulus (YM) of polymer nanocomposites (PNC) using Nanoindentation (NI) data. The method treats actual NI data as measurements of the local YM of PNC; it further assesses the effect of the non-homogeneous dispersion of carbon nanotubes in polymers on the statistical variations observed in experimental NI data. First the method simulates numerically NI data by developing a random field and a multiscale homogenization model. Subsequently, the MCFEM applies the spectral representation method to generate a population of samples of local YM values. These local values are then used in conjunction with a stochastic finite element scheme to derive estimates for the YM of PNC. The statistical processing of the ensemble of FE solutions yields overall YM values that agree well with corresponding results reported in the literature.
机译:本文介绍了一种使用纳米压痕(NI)数据确定聚合物纳米复合材料(PNC)的杨氏模量(YM)的蒙特卡洛有限元方法(MCFEM)。该方法将实际的NI数据视为对PNC本地YM的测量。它进一步评估了碳纳米管在聚合物中的不均匀分散对实验性NI数据中观察到的统计变化的影响。首先,该方法通过建立随机场和多尺度均质化模型来数值模拟NI数据。随后,MCFEM应用频谱表示方法来生成局部YM值样本的总体。然后,将这些局部值与随机有限元方案结合使用,以得出PNC的YM估计值。有限元解决方案集合的统计处理产生的总体YM值与文献中报道的相应结果非常吻合。

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