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Impact source identification in a carbon fiber reinforced polymer plate by using embedded fiber optic acoustic emission sensors

机译:使用嵌入式光纤声发射传感器识别碳纤维增强聚合物板中的冲击源

摘要

This paper demonstrates the use of four embedded fiber optic acoustic emission sensors (FOAESs) to identify the impact source of the carbon fiber reinforced polymer (CFRP) plate. The optical waveguide method and computer simulation were both applied to explain the principle of FOAES, which proved that any one of the two output terminals of FOAES was able to reveal frequency response characteristics of stress waves. The response characteristics of the FOAES to the stress waves were calibrated and discussed for comparisons of before-and-after embedded in the CFRP plate. Propagation velocities of stress wave depending on the direction in the CFRP plate were measured by FOAESs as the information for impact source identification. A simple and efficient algorithm based on the intersection of hyperbolic curves was presented to estimate the impact source location. An automatic monitoring system with the tailored program of localization algorithm was introduced for online real-time impact source identification. Experiments of impact source localization were achieved by using the FOAESs array mounted on the surface and embedded in the CFRP plate. The measured results agree well with the actual impact sources in the CFRP plate embedded with FOAESs. Furthermore, the research of composites structures embedded with FOAESs is conductive to developing the intelligent integration of structural health monitoring (SHM).
机译:本文演示了如何使用四个嵌入式光纤声发射传感器(FOAES)来识别碳纤维增强聚合物(CFRP)板的冲击源。运用光波导方法和计算机仿真来解释FOAES的原理,证明FOAES的两个输出端子中的任何一个都能显示应力波的频率响应特性。校准并讨论了FOAES对应力波的响应特性,并讨论了CFRP板中嵌入前后的比较。应力波的传播速度(取决于CFRP板中的方向)通过FOAES测量,作为冲击源识别的信息。提出了一种基于双曲曲线相交的简单高效算法来估计冲击源位置。引入了具有量身定制的定位算法程序的自动监控系统,用于在线实时影响源识别。通过使用安装在表面并嵌入CFRP板中的FOAESs阵列,进行了冲击源定位的实验。测量结果与嵌入FOAES的CFRP板中的实际冲击源非常吻合。此外,对嵌入有FOAES的复合结构的研究有助于开发结构健康监测(SHM)的智能集成。

著录项

  • 作者

    Fu T; Liu YJ; Lau KT; Leng JS;

  • 作者单位
  • 年度 2014
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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