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Embedded Nanosensors for defect identification using flexible, optically transparent, deformation responsive wrinkled Single Walled Carbon Nanotube meshes.

机译:嵌入式纳米传感器使用柔性,光学透明,变形敏感的起皱的单壁碳纳米管网格进行缺陷识别。

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摘要

Most structures such as buildings, pipelines carrying natural gas, nuclear plant cooling tanks and so forth are made of concrete. In vivo detection of the onset of cracks and voids in these concrete structures have many barriers and neglecting those could lead to failure of structures causing loss of properties and damage to lives. Embedded single walled carbon nanotubes (SWCNTs) with exceptional mechanical, optical, and electrical properties can be utilized in overcoming these barriers. This type of NDT technique can monitor the potential for failure in concrete structures by allowing us to monitor the cracks from the atomistic level. It has been shown that the use of randomly distributed homogenous length sorted SWCNTs offer large active areas with high current output. Here we attempt to wrinkle SWCNTs configurations with high mechanical flexibility and stretchability which may in the future prove to be a diagnostic tool in various matrices as cracks are initiated. We investigated the use of these wrinkled SWCNT meshes in concrete material and monitored their conductivity response at the moment of crack initiation, voids and inclusion defects. SWCNT meshes are not only useful in recognition of cracks but also can be formed as useful nano-composites.;Key words: Carbon nanotubes, wrinkling, homogeneous length separation, Crack detection, SWCNTs as sensors.
机译:大多数建筑物,例如建筑物,输送天然气的管道,核电站冷却罐等,都是用混凝土制成的。在体内检测这些混凝土结构中裂缝和空隙的产生有许多障碍,而忽略这些障碍可能导致结构失效,从而导致性能损失和生命损失。具有优异的机械,光学和电学性质的嵌入式单壁碳纳米管(SWCNT)可用于克服这些障碍。这种无损检测技术可以通过允许我们从原子水平监控裂缝来监控混凝土结构的破坏可能性。已经表明,使用随机分布的均一长度排序的SWCNT可以提供具有高电流输出的大有源区域。在这里,我们尝试使SWCNTs配置具有较高的机械柔韧性和可拉伸性,这在将来会随着裂纹的产生而在各种基质中被证明是一种诊断工具。我们研究了这些起皱的SWCNT网格在混凝土材料中的使用,并监测了它们在出现裂纹,出现空隙和夹杂缺陷时的电导率响应。 SWCNT网格不仅可用于识别裂缝,还可以形成有用的纳米复合材料。关键词:碳纳米管,起皱,均匀长度分离,裂缝检测,SWCNT作为传感器。

著录项

  • 作者

    Anipindi, Pallavi.;

  • 作者单位

    West Virginia University.;

  • 授予单位 West Virginia University.;
  • 学科 Engineering Mechanical.
  • 学位 M.S.
  • 年度 2013
  • 页码 87 p.
  • 总页数 87
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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