首页> 外文OA文献 >Long-term structural health monitoring of plate-like structures using distributed guided wave sensors
【2h】

Long-term structural health monitoring of plate-like structures using distributed guided wave sensors

机译:使用分布式导波传感器对板状结构进行长期结构健康监测

摘要

Aircraft, containers, and storage tanks contain plate-like structures that are safety critical. The structures often undergo non-destructive inspections. The inspection frequency tends to be over-conservatively high, and it may be possible to reduce the intervals between inspections to realize cost savings. This goal can possibly be realized by automated structural health monitoring (SHM) of structures using sparse active guided wave sensor arrays. Guided waves are sensitive to small defects and can propagate long distances across feature dense plates. Thus, a guided wave SHM system that enables reliable detection of critical defects or monitoring of their growth can potentially be used to reduce the frequency of inspections for real structures. ud udIndustrial guided wave SHM systems must be reliable throughout prolonged exposure to temperature, humidity, and loading changes encountered in operation. Research at Imperial College shows that temperature compensation and subtraction between monitored guided wave signals and baselines acquired from healthy plates enables detection of 1.5% reflection change over areas ~1 m^2 in the presence of thermal swings and uniform liquid layers. These results and findings from scattering studies indicate it may be possible to detect reflections from hole type defects and notches affecting structures during their operation. An issue is that demonstrations of SHM system capabilities have only been shown in controlled laboratory tests within short periods following baseline acquisition. There is concern whether sustained exposure to service conditions will subject transducer elements to irreversible changes and introduce variability in baseline subtraction results that would mask signals due to slowly growing damage.ududThis thesis studies the reliability of guided wave SHM for monitoring plate-like structures over longer time periods. The theoretical characteristics of the fundamental Lamb waves and their use to monitor and detect damage are reviewed. Strategies for sensing and signal processing are described alongside experimental validation of their performance. The effectiveness of the SHM system is tested in experiments where damage-free plates are exposed to British weather as well as thermal variations in an environmental chamber. The monitoring capabilities of bonded piezoelectric sensors are quantified and compared to the performance achieved using electromagnetic acoustic transducers. Experimental results and findings from simulations of bonded piezoelectric transduction establish that performances achieved with bonded sensors degrade due to variations in the properties of adhesives used to attach sensors to plates. EMATs are relatively stable and capable of enabling detection of 1.5% reflection change at points away from the edges of plates after sustained exposure to thermal cycling loads.
机译:飞机,集装箱和储罐包含安全性至关重要的板状结构。这些结构经常要进行非破坏性检查。检查频率趋于过于保守,并且有可能减小检查之间的间隔以实现成本节省。通过使用稀疏有源导波传感器阵列对结构进行自动结构健康监视(SHM),可以实现此目标。导波对小缺陷很敏感,并且可以在密集的特征板上传播很长的距离。因此,可以可靠地检测关键缺陷或监测其缺陷的导波SHM系统可以潜在地用于减少实际结构检查的频率。工业导波SHM系统在长时间暴露于温度,湿度和操作中遇到的载荷变化的过程中必须可靠。帝国理工学院的研究表明,在监测到的导波信号与从健康板块获得的基线之间进行温度补偿和相减后,在存在热摆动和均匀液层的情况下,可以检测到约1 m ^ 2区域内1.5%的反射变化。散射研究的这些结果和发现表明,有可能检测出孔类型缺陷和影响结构运行的缺口的反射。问题在于,SHM系统功能的演示仅在基线获取后的短时间内在受控实验室测试中显示。令人担忧的是,持续暴露在使用条件下是否会使换能器元件发生不可逆的变化,并在基线减法结果中引入可变性,从而由于缓慢增长的损害而掩盖信号。 ud ud较长时间的结构。回顾了基本Lamb波的理论特征及其在监测和检测损伤中的用途。描述了感测和信号处理的策略,并对其性能进行了实验验证。 SHM系统的有效性在无损板暴露于英国天气以及环境室内热变化的实验中进行了测试。粘合压电传感器的监视功能被量化,并与使用电磁声换能器获得的性能进行比较。粘合压电换能的仿真实验结果和结果表明,粘合传感器实现的性能会由于用于将传感器附着到板上的胶粘剂性能的变化而降低。 EMAT相对稳定,能够在持续暴露于热循环载荷后,在远离平板边缘的点处检测到1.5%的反射变化。

著录项

  • 作者

    Attarian Vatche;

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

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号