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Characterisation of composite elastic properties by means of a multi-scale two-level inverse approach

机译:复合弹性特性的多尺度两级反演方法表征

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摘要

This work deals with the problem of characterising the elastic properties of a composite material at both mesoscopic (ply-level) and microscopic (constitutive phases-level) scales. This goal is attained by means of an adequate multi-scale identification strategy (MSIS) which aims at identifying the constitutive properties, at each relevant scale, by exploiting the information restrained in the macroscopic dynamic response of the composite. In this background, the multi-scale identification problem is split into two interdependent sub-problems which are stated, at both levels, as constrained minimisation problems. At the first level the goal is the characterisation of the lamina properties by minimising the distance between the numerical and the reference harmonic responses of the composite. The second level problem aims at identifying the elastic properties of both fibre and matrix by minimising the distance between the effective elastic properties evaluated through a homogenisation process and those provided by the first-level inverse problem. The MSIS is based on a special global hybrid optimisation tool and on the strain energy homogenisation method of periodic media. Its effectiveness is proven through a meaningful benchmark.
机译:这项工作解决了在介观(层级)和微观(本构相级)尺度上表征复合材料弹性特性的问题。该目标是通过适当的多尺度识别策略(MSIS)来实现的,该策略旨在通过利用复合材料宏观动态响应中受约束的信息,在每个相关尺度上识别本构特性。在这种背景下,多尺度识别问题被分解为两个相互依赖的子问题,这两个问题在两个层面上都被描述为约束最小化问题。在第一个级别上,目标是通过最小化复合材料的数值和参考谐波响应之间的距离来表征层特性。第二层次的问题旨在通过最小化通过均质化过程评估的有效弹性与第一层次反问题所提供的有效弹性之间的距离,来识别纤维和基质的弹性。 MSIS基于特殊的全局混合优化工具和周期性介质的应变能均质化方法。通过有意义的基准证明了其有效性。

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