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Progressive failure analysis of woven composites considering structural characteristics based on micro-mechanics

机译:基于微型力学的结构特征的编织复合材料进行渐进式故障分析

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摘要

In this study, a three-dimensional progressive failure model was developed to predict the mechanical response of woven composites. For the formulation of progressive failure, a material property degradation model was designed, which was based on the three-dimensional Hashin failure criteria. Failure modes such as fiber breakage and matrix failure were considered. Woven composite models with different weave patterns and fiber volume fractions were created as the representative volume element (RVE). The cross sections of the RVE were modeled from scanning electron microscope observations. To prove the validity of the proposed model, the plain and twill-woven composite were fabricated by a vacuum-assisted resin transfer molding process with respect to fiber volume fraction. Mechanical tensile, compression, and shear tests were conducted and fractography was investigated. As a result, good correlation between the predicted properties from the progressive failure simulation and the experimental results, such as stress-strain curve and the failure modes, was achieved.
机译:在该研究中,开发了三维逐步故障模型来预测编织复合材料的机械响应。为了制定渐进式失败,设计了一种材料性能降解模型,基于三维散列失效标准。考虑了诸如纤维破损和矩阵故障之类的失效模式。采用不同织物图案和纤维体积分数的编织复合模型作为代表体积元素(RVE)。 RVE的横截面从扫描电子显微镜观测模型建模。为了证明所提出的模型的有效性,通过相对于纤维体积分数,通过真空辅助树脂转移模塑方法制造平滑和斜纹织物复合材料。进行机械拉伸,压缩和剪切试验,并研究了裂缝。结果,实现了来自逐步故障模拟的预测性能与实验结果(例如应力 - 应变曲线和故障模式)之间的良好相关性。

著录项

  • 来源
    《Composite Structures》 |2019年第9期|110990.1-110990.9|共9页
  • 作者单位

    Hanyang Univ Dept Mech Engn 222 Wangsimni Ro Seoul 133791 South Korea;

    Hanyang Univ Dept Mech Engn 222 Wangsimni Ro Seoul 133791 South Korea;

    LG Hausys Composite Mat & Components R&D Ctr Seoul South Korea;

    Hanyang Univ Dept Mech Engn 222 Wangsimni Ro Seoul 133791 South Korea|Hanyang Univ Inst Nano Sci & Technol 222 Wangsimni Ro Seoul 133791 South Korea;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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