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The Master SN curve approach : a hybrid multi-scale fatigue simulation of short fiber reinforced composites

机译:主sN曲线方法:混合多尺度疲劳模拟或短纤维增强复合材料

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摘要

Typical short fiber reinforced composites (SFRCs) components have a different statistical distribution of orientation of fibers at different points leading to different static and fatigue behavior at different locations across the component. To link component-scale calculations with this variability of fiber orientations, each element in the FE model is modeled as a Representative Volume Element (RVE); the static and fatigue properties must be calculated for each of these elements. While there are established methods to estimate the static properties, there are none for the fatigue properties. A hybrid (combination of micromechanics and tests) and multi-scale (damage in micro-scale linked to macroscale fatigue properties) method of predicting the SN curve for every point in a short fiber composite has been developed. This proposed method is based not only on tests but on a combination of manufacturing simulation, tests and multi-scale mechanics. An extensive test program was undertaken to study the fatigue behavior of short fiber composites and validate the concept of the Master SN curve (MSNC) approach. The MSNC approach is compared with two prevalent approaches strength based scaling and test based interpolation. The MSNC approach was found to be in a good agreement with the experimental results and was confirmed to be more accurate than the prevalent methods. (C) 2015 Elsevier Ltd. All rights reserved.
机译:典型的短纤维增强复合材料(SFRC)组件在不同点的纤维取向统计分布不同,从而导致组件上不同位置的静态和疲劳行为不同。为了将组件规模的计算与纤维取向的这种变化联系起来,FE模型中的每个元素都被建模为“代表性体积元素”(RVE)。必须为这些元素中的每一个计算静态和疲劳特性。虽然已经建立了估算静态性能的方法,但没有用于疲劳性能的方法。已经开发了一种混合(微力学和测试的结合)和多尺度(与宏观疲劳特性相关的微观损伤)的方法来预测短纤维复合材料中每个点的SN曲线。该提议的方法不仅基于测试,而且基于制造仿真,测试和多尺度力学的组合。进行了广泛的测试程序,以研究短纤维复合材料的疲劳行为,并验证了主SN曲线(MSNC)方法的概念。将MSNC方法与两种基于强度的缩放和基于测试的插值的流行方法进行了比较。发现MSNC方法与实验结果非常吻合,并且被证实比现有方法更准确。 (C)2015 Elsevier Ltd.保留所有权利。

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