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Acoustic emission evaluation of FRP composite specimens in tension and bending.

机译:FRP复合材料试样在拉伸和弯曲过程中的声发射评估。

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摘要

Fiber Reinforced Polymer composites are relatively new to the bridge construction industry. One of the challenges to greater usage is the lack of a nondestructive method to accurately evaluate them. Nondestructive evaluation of FRP composite structures using Acoustic Emissions was conducted. Seven tension specimens and fifteen bending specimens from three different FRP manufacturers were tested. The hand-laid tension specimens produced at WVU were tested following ASTM D3039. The bending specimens were tested according to ASTM D790.; AE parameters were analyzed, and connections were found between them and the loading quarter of the specimens along with the damage zone of the specimens. By concentrating the AE parameters' patterns, Neural Networks were used to predict the loading quarter and damage zone of each specimen.; The connections between structural status and AE parameters found along with the NN prediction capabilities can be used to create a user-friendly, health monitoring system for on-site structures.
机译:纤维增强聚合物复合材料在桥梁建筑行业中相对较新。更大使用率的挑战之一是缺乏一种准确评估它们的无损方法。进行了使用声发射的FRP复合结构的无损评估。测试了来自三个不同FRP制造商的七个拉伸样本和十五个弯曲样本。按照ASTM D3039测试在WVU生产的手工拉伸试样。弯曲样品根据ASTM D790进行测试。分析了声发射参数,并发现了它们与样品的载荷四分之一之间的联系以及样品的损伤区域。通过集中AE参数的模式,使用神经网络预测每个样本的载荷四分之一和损伤区域。结构状态和AE参数之间的联系以及NN预测功能可用于为现场结构创建用户友好的健康监控系统。

著录项

  • 作者

    Arnold, Ryan Edward.;

  • 作者单位

    West Virginia University.;

  • 授予单位 West Virginia University.;
  • 学科 Engineering Civil.; Engineering Mechanical.
  • 学位 M.S.C.E.
  • 年度 2003
  • 页码 195 p.
  • 总页数 195
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;机械、仪表工业;
  • 关键词

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