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The statistical two-scale method for predicting viscoelastic properties of composites with consistent random distribution of particles

机译:用于预测复合材料粘弹性的统计两种方法,颗粒一致随机分布

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This study presents a statistical two-scale method to predict the viscoelastic properties of composite materials with consistent random distribution of particles. The explicit formulation for predicting the effective viscoelastic relaxation modulus is given. At first, the Laplace transformation is used to the linear viscoelastic problem, the effective generalized relaxation modulus in Laplace domain for composites is derived. Then, the effective relaxation modulus in time domain is obtained by the least-square and inverse Laplace transformation. At the end of this paper, some numerical examples are given to validate that the presented method is feasible and effective.
机译:该研究呈现了一种统计两种方法,以预测复合材料的粘弹性性能,其颗粒一致随机分布。给出了预测有效粘弹性弛豫模量的显式配方。首先,推动拉普拉斯变换用于线性粘弹性问题,推导出LAPPALL域中的有效广义弛豫模量。然后,通过最小二乘和逆拉普拉斯变换获得时域的有效松弛模量。在本文的末尾,给出了一些数值例子来验证所提出的方法是可行且有效的。

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