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Integration of Electro-mechanical Impedance and Global Dynamic Techniques for Improved Structural Health Monitoring

机译:机电阻抗与全局动态技术的集成,可改善结构健康状况的监测

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This article proposes the simultaneous application of the local electromechanical impedance (EMI) and the global dynamic techniques using the same set of piezoelectric ceramic (PZT) sensor patches for improved health monitoring of structures. It describes an experimental study conducted on a two-story reinforced concrete frame structure using PZT patches embedded in the structure. The global dynamic technique, which is based on global frequency changes, is effective in low frequency range only, due to which an incipient damage (such as hair crack) cannot be detected by it. On the other hand, the EMI technique, which works in the kilohertz range, is very sensitive to incipient damage. The initial cracks were successfully detected by the EMI technique whereas more severe type damages were identified and suitably quantified by the global dynamic techniques. Selected inputs, chosen from the extracted equivalent parameters, namely stiffness and damping changes (EMI technique) and the damping ratio (global technique), were used to train an artificial neural network, whose outputs were the severity and the location of the damage. The simultaneous use of the two techniques results in an improved structural health monitoring. This approach is very sensitive and cost effective to detect damages ranging from incipient to severe types in the civil structures.
机译:本文提出了使用同一套压电陶瓷(PZT)传感器贴片同时应用局部机电阻抗(EMI)和全局动态技术,以改善结构健康状况的方法。它描述了使用嵌入在结构中的PZT贴片对两层钢筋混凝土框架结构进行的实验研究。基于全局频率变化的全局动态技术仅在低频范围内有效,因此无法检测到初期损坏(例如发crack)。另一方面,工作在千赫兹范围内的EMI技术对初期损坏非常敏感。最初的裂纹已通过EMI技术成功检测到,而更严重的类型损坏已通过整体动态技术得以识别和适当量化。从提取的等效参数(即刚度和阻尼变化(EMI技术)和阻尼比(全局技术))中选择的输入用于训练人工神经网络,其输出为损伤的严重程度和位置。同时使用这两种技术可改善结构的健康状况。这种方法非常灵敏并且具有成本效益,可以检测出从初期到严重的土木结构损坏。

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