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Damage Prognosis of Plain Concrete Under Low-Cycle Fatigue Using Piezo-Based Concrete Vibration Sensors

机译:用压电的混凝土振动传感器造成低循环疲劳下普通混凝土的损伤预后

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The recent advent of smart materials in structural health monitoring (SHM) has paved the path for research as well as varied applications of piezo-sensors in the field of engineering. As a smart material, lead-zirconatetitanate (PZT) has proven to be an indispensable tool for SHM due to its easy availability in varying sizes and shapes, cost-effectiveness, high damage sensitivity and ease of installation. Existing research shows that PZT sensors, coupled with the electromechanical impedance (EMI) technique, can identify as well as quantify the damages induced in concrete and metals with appreciable accuracy. The study presented here employs the admittance signatures from the PZT sensors to monitor the accumulating damage in plain concrete specimens under low-cycle fatigue loading. PZT patches in the form of embeddable concrete vibration sensors (CVSs) are used for sensing purposes. Three cube specimens of size 150 mm were pre-pared: two cubes with single embedded CVS (acting in self-sensing mode) and one with a pair of CVS. The specimens were subjected to loading and unloading cycles until failure using a 3000 kN compressive testing machine. Admittance signatures were recorded from the CVS using a LCR meter at various damage stages. These signatures were then analyzed, and the root-mean-square deviation (RMSD) plots were generated to get a full damage profile of the specimens. The results reflect the effectiveness of the PZT sensors to identify the fatigue-induced damages in the concrete using PZT sensors.
机译:最近结构健康监测(SHM)中智能材料的出现铺设了研究的路径以及工程领域压电传感器的各种应用。作为智能材料,由于其易于使用尺寸和形状,成本效益,高损伤灵敏度和易于安装,因此已被证明是SHM的必不可少的工具,这是SHM的不可或缺的工具。现有研究表明,与机电阻抗(EMI)技术相结合的PZT传感器可以识别,并以明显的准确度在混凝土和金属中诱导的损坏。此处提出的研究采用来自PZT传感器的导纳签名,以监测低循环疲劳负载下普通混凝土试样中的累积损坏。嵌入式混凝土振动传感器(CVSS)形式的PZT贴片用于传感目的。预先削减了三维立方体标本,尺寸为150毫米:两个立方体,单个嵌入式CVS(以自我传感模式作用),一个具有一对CVS。对样品进行装载和卸载循环,直到使用3000 kN压缩试验机失效。在各种损坏阶段使用LCR仪表从CVS记录入场签名。然后分析这些签名,并产生根均方偏差(RMSD)地块以获得标本的全部损伤轮廓。结果反映了PZT传感器的有效性,以使用PZT传感器识别混凝土中疲劳引起的损伤。

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