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Assessment of ultrasonic guided wave inspection methods for structural health monitoring.

机译：评估用于结构健康监测的超声波导波检查方法。

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摘要

Structural health monitoring (SHM) has the potential to significantly increase safety and reduce manufacturing and maintenance costs of industrial structures. The use of piezoelectric material such as Lead-Zirconate-Titanate (PZT) in exciting and sensing ultrasonic guided waves for damage detection has become popular since its allows the rapid inspection of large areas in a structure using non-intrusive sensors. Ultrasonic guided waves interact with discontinuities in the structure, giving information about the potential presence of a damage, its size and location.;The main concerns about using such methods is that PZT sensors and guided waves are affected by environmental conditions. The performance of the PZT sensors, in terms of their ability to detect damage, degrades over time and varies depending on current environmental conditions and surrounding, resulting in inconsistent measurements. This work gives a novel formulation of a model-based probability of detection method, which is able to quantify the performance of guided wave inspection in a stochastically varying environment. An analytically and experimentally verified finite element model is used to generate data that represent the effects of varying environmental conditions. Then the stochastic approach is used to evaluate the probability of detection of cracks in riveted aluminum plates and delaminations in composite plates. Also, the performance of guided wave imaging algorithms under degrading PZT conditions is examined.;Another concern is the ability to transfer data from the PZT sensors, which are per-manently located on the structure, to a computer where the data could be processed in real-time or near real-time. Wireless sensor networks (WSN) use low footprint smart sensor nodes that are permanently mounted on the structure. The sensor nodes have their own power supply and wireless communication devices to communicate with other sensor nodes or a base station. Wireless sensor node for guided waves require an actuation interfaces and high frequency sampling of the guided wave measurements. A proof-of-concept wireless sensor node prototype is developed for the data acquisition and actuation using PZT sensors and guided waves.
机译：结构健康监测（SHM）有可能显着提高安全性并降低工业结构的制造和维护成本。压电材料（例如锆钛酸铅（PZT））用于激发和感测超声波导波以进行损伤检测已变得很流行，因为它可以使用非侵入式传感器快速检查结构中的大面积。超声波导波会与结构中的不连续相互作用，从而提供有关损坏的潜在存在，大小和位置的信息。使用此类方法的主要问题是PZT传感器和导波会受到环境条件的影响。就检测损坏的能力而言，PZT传感器的性能会随时间降低，并会根据当前的环境条件和周围环境而变化，从而导致测量结果不一致。这项工作给出了一种基于模型的检测概率方法的新颖表述，该方法能够量化在随机变化环境中导波检测的性能。经过分析和实验验证的有限元模型用于生成代表变化的环境条件影响的数据。然后使用随机方法评估检测铆接铝板中的裂纹和复合板中的分层的可能性。此外，还要检查导波成像算法在降级PZT条件下的性能。另一个需要关注的问题是能否将数据从永久位于结构上的PZT传感器传输到可以在其中处理数据的计算机实时或接近实时。无线传感器网络（WSN）使用占用空间小的智能传感器节点，该节点永久安装在结构上。传感器节点具有自己的电源和无线通信设备，可与其他传感器节点或基站进行通信。导波的无线传感器节点需要一个驱动接口和导波测量的高频采样。开发了一种概念验证的无线传感器节点原型，用于使用PZT传感器和导波进行数据采集和驱动。

著录项

  • 作者

    Dib, Gerges.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Engineering Electronics and Electrical.;Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 195 p.
  • 总页数 195
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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