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Damage detection and characterization of fiber-reinforced composites using ultrasonics.

机译:使用超声波对纤维增强复合材料进行损伤检测和表征。

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摘要

Due to the prevalence of fiber-reinforced composites in industrial applications, the need for damage-detection and characterization has increased. Ultrasonic nondestructive testing (NDT) is a powerful and non-invasive method of detecting flaws and defects in composite materials. Air-coupled and immersion UT techniques are used to quantify the effect of matrix microcracking and delamination within the composite laminate. Detection of matrix microcracks in the laminate is of primary concern since microcracking is one of the initial damage modes resulting in local stiffness reduction. The techniques considered include pulse-echo in immersion, angle-beam through-transmission Lamb wave time-of-flight shift and velocity measurements, and angle-beam backscatter measurements from single microcracks within the composite laminate. The time-of-flight measurements are shown to be a reasonable method for quantifying stiffness reduction in the laminate, however special attention must be provided to the Lamb modes considered and their sensitivity to the independent stiffness components. The angle-beam backscatter technique may be used to detect individual microcracks but poses a limitation on the frequency and depth of inspection. Ultimately, the quantification of microcracking will provide an early descriptor of failure in the laminate.
机译:由于在工业应用中普遍存在纤维增强复合材料,因此对损坏检测和表征的需求增加了。超声波无损检测(NDT)是一种功能强大且无创的方法,可以检测复合材料中的缺陷。空气耦合和浸入式UT技术用于量化复合材料层压板中基体微裂纹和分层的影响。层压板中基质微裂纹的检测是主要关注的问题,因为微裂纹是导致局部刚度降低的初始损伤模式之一。所考虑的技术包括浸入式脉冲回波,角束透射透射兰姆波飞行时间偏移和速度测量,以及复合层压板中单个微裂纹的角束反向散射测量。飞行时间测量被证明是量化层压板刚度降低的一种合理方法,但是必须特别注意所考虑的Lamb模式及其对独立刚度分量的敏感性。角束反向散射技术可用于检测单个微裂纹,但会对检查的频率和深度造成限制。最终,微裂纹的定量将提供层压板中失效的早期描述。

著录项

  • 作者

    Subramanian, Ajith.;

  • 作者单位

    Iowa State University.;

  • 授予单位 Iowa State University.;
  • 学科 Applied Mechanics.;Engineering Aerospace.;Engineering General.
  • 学位 M.S.
  • 年度 2013
  • 页码 72 p.
  • 总页数 72
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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