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A new approach to rapidly generate random periodic representative volume elements for microstructural assessment of high volume fraction composites

机译:快速生成随机周期性代表体积元素用于高体积分数复合材料微结构评估的新方法

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摘要

An algorithm based on event-driven molecular dynamics theory was developed to rapidly generate periodic representative volume elements (RVEs) with nonuniform distributions for both unidirectional fibre-reinforced and spherical particle-reinforced composites. Detailed statistical analyses were conducted for assessing the ability to generate RVEs with nonuniformly dispersed microstructures and either constant or random inclusion sizes for a wide range of volume fractions. The generated microstructures were directly compared with available microstructural optical images of a composite material, showing excellent statistical correlation and providing validation for the developed RVE generation approach. For further validation, finite element analysis was conducted using the generated RVEs in order to evaluate volume averaged elastic constants. The expected isotropic characteristics of the RVEs were correctly calculated, and excellent correlations with experimental data from the literature provided additional support for the algorithm accuracy. The versatile algorithm can rapidly generate RVEs with realistic reinforcement dispersions and high volume fractions up to 80%, which is advantageous compared to other algorithms. The proposed algorithm can be used as a design tool to accurately evaluate and tailor the mechanical properties of distinct composite material systems, and for their microstructural assessment including local damage predictions. (c) 2018 Elsevier Ltd. All rights reserved.
机译:开发了一种基于事件驱动分子动力学理论的算法,可以快速生成单向纤维增强复合材料和球形颗粒增强复合材料的具有不均匀分布的周期性代表体积元素(RVE)。进行了详细的统计分析,以评估生成具有不均匀分散的微观结构,对于较大体积分数的恒定或随机夹杂物大小的RVE的能力。将生成的微结构与复合材料的可用微结构光学图像直接进行比较,显示出极好的统计相关性,并为开发的RVE生成方法提供了验证。为了进一步验证,使用生成的RVE进行了有限元分析,以评估体积平均弹性常数。正确计算了RVE的预期各向同性特性,并且与文献中的实验数据具有良好的相关性,为算法的准确性提供了额外的支持。通用算法可以快速生成具有逼真的增强分散体和高达80%的高体积分数的RVE,与其他算法相比具有优势。所提出的算法可以用作设计工具,以准确评估和定制不同复合材料系统的机械性能,以及对其微观结构进行评估,包括局部损伤预测。 (c)2018 Elsevier Ltd.保留所有权利。

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