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Generation of random fiber distributions for unidirectional fiber-reinforced composites based on particle swarm optimizer

机译：基于粒子群优化器的单向纤维增强复合材料的随机纤维分布的产生

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摘要

The stochastic nature of fiber distribution over transversal cross-section in unidirectional fiber-reinforced composites has a significant effect on the microscopical distribution of stresses and strains. Towards simulation-based analysis and design of fiber-reinforced composite, this paper concentrates on the issue of random fiber distributions and a new approach is developed to effectively generate microstructures of composite material with high fiber volume fraction. The method, named random distribution particle swarm optimization (PSO) algorithm, is proposed based on the particle movement regulation and position updating principle of PSO. The method creates microstructures with different fiber volume fractions conveniently by distributing each single fiber with inter-fiber distance arrangement. The performance of algorithm is analyzed statistically and the results demonstrate that it is capable of catching the typical distribution of these materials for both low and high fiber volume fractions. Finite-element analysis is conducted to predict effective properties of the generated microstructures and the simulation results exhibit reasonable agreement with experimental results. The developed algorithm is easily realized and highly efficient without introducing heuristic steps to achieve high volume fraction. The approach provides a valuable alternative to generate random numerical models used in micromechanical analysis of unidirectional fiber-reinforced composites. POLYM. COMPOS., 40:1643-1653, 2019. (c) 2018 Society of Plastics Engineers
机译：单向纤维增强复合材料中横向横截面纤维分布的随机性质对应力和菌株的显微镜分布具有显着影响。朝向基于纤维增强复合材料的仿真分析和设计，本文集中在随机纤维分布问题上，开发了一种新方法，以有效地产生具有高纤维体积分数的复合材料的微观结构。基于PSO的粒子移动调节和位置更新原理，提出了命名随机分布粒子群优化优化（PSO）算法的方法。该方法通过纤维间距离布置分配每个单纤维，通过分配各个纤维来产生具有不同纤维体积分数的微观结构。统计分析算法的性能，结果表明它能够捕获这些材料对低纤维体积分数的典型分布。进行有限元分析以预测产生的微观结构的有效性能，并且模拟结果表现出与实验结果合理的协议。开发算法很容易实现和高效，而不引入启发式步骤以实现高容积分数。该方法提供了一种有价值的替代方案，可以在单向纤维增强复合材料的微机械分析中产生随机数值模型。聚合物。 Compos。，40：1643-1653,2019。（c）2018塑料工程师协会

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  • 来源
    《Polymer Composites》 |2019年第4期|共11页
  • 作者

    Liu Zhao; Zhu Chao; Zhu Ping;

  • 作者单位

    Shanghai Jiao Tong Univ State Key Lab Mech Syst &

    Vibrat Sch Mech Engn Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ State Key Lab Mech Syst &

    Vibrat Sch Mech Engn Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ State Key Lab Mech Syst &

    Vibrat Sch Mech Engn Shanghai 200240 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 增强塑料、填充塑料;
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