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

机译:基于微力学的考虑结构特性的机织复合材料渐进破坏分析

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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:在这项研究中,建立了三维渐进破坏模型来预测机织复合材料的机械响应。为了制定渐进式失效,设计了基于三维Hashin失效准则的材料性能退化模型。考虑了诸如纤维断裂和基体破坏的破坏模式。创建具有不同编织图案和纤维体积分数的机织复合材料模型作为代表体积元素(RVE)。 RVE的横截面是通过扫描电子显微镜观察建模的。为了证明所提出模型的有效性,通过真空辅助树脂传递模塑工艺相对于纤维体积分数制备了平纹和斜纹编织复合材料。进行了机械拉伸,压缩和剪切试验,并研究了断口扫描。结果,在渐进式故障模拟的预测特性与实验结果(如应力-应变曲线和故障模式)之间实现了良好的相关性。

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
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