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A multiscale approach for virtual testing of highly aligned short carbon fiber composites

机译:虚拟测试高度对齐的短碳纤维复合材料的多尺度方法

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This paper presents an efficient multiscale approach for high fidelity virtual testing of highly aligned short fiber reinforced composites (SFRCs), based solely on constituent material and interface properties with no need of calibration data. The method is based on a hierarchical, bottom-up characterization of SFRCs and the link of mechanical behaviors of materials and microstructures from a lower scale to a higher scale. It starts with a microscopic unit cell model to estimate the transverse and shear properties of the aligned short fiber composites. Next, two types of mesoscale models with explicit consideration of fiber discontinuity and possible local fiber misalignments are employed to obtain effective properties of material domains with such morphologies. Such obtained meso-scale mechanical properties and damage behaviors are then integrated into the macroscale virtual laminar via the stochastically integrating of possible material defects. Results indicate that for perfectly aligned SFRCs the strength reduction is about 25% as compared to that of the continuously reinforced composites. However, misalignment of short fibers can cause a further strength reduction of 20-35% with the volume fraction of the misalign regions varying from 1% to 10%.
机译:本文仅基于成分材料和界面特性,无需校准数据,即可提供一种有效的多尺度方法,用于高度对齐的短纤维增强复合材料(SFRC)的高保真度虚拟测试。该方法基于对SFRC的分层,自下而上的表征,以及从较小规模到较大规模的材料和微结构力学行为的链接。它从微观晶胞模型开始,以估计对齐的短纤维复合材料的横向和剪切性能。接下来,使用两种类型的中尺度模型,其中明确考虑了纤维的不连续性和可能的​​局部纤维错位,以获得具有这种形态的材料域的有效特性。然后,通过可能的材料缺陷的随机积分,将这样获得的中尺度机械性能和损伤行为整合到宏观虚拟层流中。结果表明,与连续增强的复合材料相比,对于完全对齐的SFRC,强度降低了约25%。但是,短纤维的未对准会导致强度进一步降低20-35%,而未对准区域的体积分数在1%至10%之间变化。

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