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In-situ mechanical properties identification of 3D particulate composites using the Virtual Fields Method

机译:使用虚拟场方法现场识别3D颗粒复合材料的力学性能

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This paper presents an identification procedure based on the Virtual Fields Method (VFM) for identifying in situ mechanical properties of composite materials constitutive phases from 3D full-field measurements. The new procedure, called the Regularized Virtual Fields Method (RVFM), improves the accuracy of the VFM thanks to the imposition of mechanical constraints derived from an appropriate homogenization model. The developed algorithms were validated through virtual experiments on particulate composites. The robustness of both the VFM and the RVFM was assessed in the presence of noisy strain data for various microstructures. A study was also carried out to investigate the influence of the size of region of interests on the reliability of the identified parameters. Accordingly, the optimum size of region of interest was determined based on full-field measurement requirements and accuracy of the identified parameters. This study enables determining, a priori, the required magnification level of 3D images for composites of any mechanical and morphological characteristics.
机译:本文提出了一种基于虚拟场方法(VFM)的识别程序,用于从3D全场测量中识别复合材料本构相的原位力学性能。由于施加了从适当的均质化模型得出的机械约束,这种称为规整化虚拟场方法(RVFM)的新程序提高了VFM的准确性。通过对颗粒复合材料的虚拟实验验证了开发的算法。在存在各种微观结构的噪声应变数据的情况下,对VFM和RVFM的鲁棒性进行了评估。还进行了一项研究,以研究感兴趣区域的大小对所识别参数的可靠性的影响。因此,根据全场测量要求和所识别参数的准确性,确定感兴趣区域的最佳大小。这项研究可以事先确定具有任何机械和形态特征的复合材料所需的3D图像放大倍数。

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