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Inverse Identification of Elastic Properties of Constituents of Discontinuously Reinforced Composites

机译:间断增强复合材料成分弹性特性的逆辨识

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This paper is devoted to determination of elastic properties of composite constituents by using an inverse identification procedure. The aim of the developed identification procedure is to compute the elastic constants of individual material phases on the basis of known properties of composite materials. The inverse problem of identification has been solved by combining an evolutionary algorithm with a micromechanical model. The paper also focuses on selection of a suitable micromechanical model for optimization which should ensure a compromise between accuracy and complexity. Two different cases have been studied: composite reinforced with short cylindrical fibers and composite reinforced with cubic particles. Moreover, Monte Carlo simulations have been carried out to expose a difference in outcome of identification which may occur when uncertain input data is considered. Obtained results show that identification is successful only when properties of composite materials with at least two different volume fractions of the reinforcement are known.
机译:本文致力于通过逆向识别程序确定复合材料成分的弹性性能。所开发的识别程序的目的是基于复合材料的已知特性来计算各个材料相的弹性常数。通过将进化算法与微机械模型相结合,解决了识别的逆问题。本文还着重于选择合适的微机械模型进行优化,以确保准确性和复杂性之间的折衷。研究了两种不同的情况:用短圆柱纤维增强的复合材料和用立方颗粒增强的复合材料。而且,已经进行了蒙特卡洛模拟以揭示识别结果的差异,当考虑不确定的输入数据时,该差异可能会发生。所获得的结果表明,只有在已知具有至少两个不同体积分数的增强材料的复合材料的性能时,鉴定才能成功。

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