Prediction of the failure behavior of pseudo-ductile composites using a multi-scale finite element model

IF 3.5 3区 材料科学 Q1 ENGINEERING, MECHANICAL
Behzad Abdellahi, Fatemeh Azhari, Phu Nguyen
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Abstract

The hybridization technique has recently been used to produce a new generation of composites called pseudo-ductile composites, which have shown higher failure strain compared to conventional composites, minimizing the risks of the occurrence of a catastrophic failure. The pseudo-ductility behavior in these composites is obtained by hybridization of fibers with high and low failure strains. In this study, a multi-scale finite element (FE) model incorporating micro and macro-scales is proposed to predict the failure behavior of pseudo-ductile composites. A micro-scale representative volume element (RVE), consisting of randomly distributed fibers, was generated using a Python code. Periodic boundary conditions (PBCs) were applied to the RVE generated with a periodic geometry. To account for fiber failure and ply fragmentation, the tensile strength of fibers was distributed based on the Weibull distribution function and a user-defined UMAT subroutine was developed. Tensile loading was then applied to the RVE to simulate the composite’s mechanical behavior. For validation, an RVE was developed based on experimental data from recent research on thinply and conventional thickness composites. Numerical results were compared to experimental data, demonstrating acceptable agreement. In the final step, following a sequential multi-scale modeling approach, a macro-scale model was constructed based on the outputs of the micro-scale model subjected to tensile and shear loads. The results were compared with experimental data, revealing good agreement. The proposed model allows for the optimization of pseudo-ductile composite structures to achieve a desired set of mechanical properties without the need for conducting extensive experimental material tests.
利用多尺度有限元模型预测伪韧性复合材料的破坏行为
与传统复合材料相比,这种复合材料显示出更高的破坏应变,从而最大限度地降低了发生灾难性破坏的风险。这些复合材料中的假韧性行为是通过高低失效应变的纤维杂化获得的。本研究提出了一种包含微观和宏观尺度的多尺度有限元(FE)模型,用于预测伪导复合材料的失效行为。使用 Python 代码生成了由随机分布的纤维组成的微尺度代表体积元素(RVE)。周期性边界条件 (PBC) 被应用于以周期性几何形状生成的 RVE。为了考虑纤维失效和层间碎裂,纤维的拉伸强度根据 Weibull 分布函数进行分布,并开发了用户定义的 UMAT 子程序。然后对 RVE 施加拉伸载荷,以模拟复合材料的机械行为。为了进行验证,根据最近对薄层和传统厚度复合材料研究的实验数据开发了一个 RVE。将数值结果与实验数据进行了比较,结果表明两者的一致性是可以接受的。最后一步,按照顺序多尺度建模方法,根据微尺度模型在拉伸和剪切载荷作用下的输出结果,构建了一个宏观尺度模型。将结果与实验数据进行了比较,结果表明两者吻合良好。通过所提出的模型,可以优化伪韧性复合材料结构,以达到所需的机械性能,而无需进行大量的材料实验测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Sandwich Structures & Materials
Journal of Sandwich Structures & Materials 工程技术-材料科学:表征与测试
CiteScore
9.60
自引率
2.60%
发文量
49
审稿时长
7 months
期刊介绍: The Journal of Sandwich Structures and Materials is an international peer reviewed journal that provides a means of communication to fellow engineers and scientists by providing an archival record of developments in the science, technology, and professional practices of sandwich construction throughout the world. This journal is a member of the Committee on Publication Ethics (COPE).
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