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A finite element based orientation averaging method for predicting elastic properties of short fiber reinforced composites
Composites Part B: Engineering ( IF 12.7 ) Pub Date : 2020-09-07 , DOI: 10.1016/j.compositesb.2020.108388
S.M. Mirkhalaf , E.H. Eggels , T.J.H. van Beurden , F. Larsson , M. Fagerström

Short fiber reinforced composites have a variety of micro-structural parameters that affect their macro-mechanical performance. A modeling methodology, capable of accommodating a broad range of these parameters, is desirable. This paper describes a micro-mechanical model which is developed using Finite Element Analysis and Orientation Averaging. The model is applicable to short fiber reinforced composites with a wide variety of micro-structural parameters such as arbitrary fiber volume fractions, fiber aspect ratios and fiber orientation distributions. In addition to the Voigt and Reuss assumptions, an interaction model is developed based on the self-consistent assumption. Comparisons with experimental results, and direct numerical simulations of Representative Volume Elements show the capability of the model for fair predictions.



中文翻译:

基于有限元的取向平均法预测短纤维增强复合材料的弹性

短纤维增强复合材料具有多种影响其宏观力学性能的微观结构参数。期望能够容纳这些参数的广泛范围的建模方法。本文介绍了使用有限元分析方向平均开发的微机械模型。该模型适用于具有多种微观结构参数的短纤维增强复合材料,例如任意纤维体积分数,纤维长径比和纤维取向分布。除了Voigt和Reuss假设外,还基于自洽性开发了一个交互模型。假设。与实验结果的比较,以及代表性体积元素的直接数值模拟表明,该模型具有合理的预测能力。

更新日期:2020-09-30
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