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智能 PZT 嵌入式传感器用于预应力混凝土锚固中的阻抗监测。

Smart PZT-Embedded Sensors for Impedance Monitoring in Prestressed Concrete Anchorage.

机构信息

Department of Ocean Engineering, Pukyong National University, Busan 48513, Korea.

Urban Infrastructure Faculty, Mien Tay Construction University, 20B Pho Co Dieu Street, Vinh Long 890000, Vietnam.

出版信息

Sensors (Basel). 2021 Nov 27;21(23):7918. doi: 10.3390/s21237918.

Abstract

This study investigates the feasibility evaluation of smart PZT-embedded sensors for impedance-based damage monitoring in prestressed concrete (PSC) anchorages. Firstly, the concept of impedance-based damage monitoring for the concrete anchorage is concisely introduced. Secondly, a prototype design of PZT-embedded rebar and aggregate (so-called smart rebar-aggregate) is chosen to sensitively acquire impedance responses-induced local structural damage in anchorage members. Thirdly, an axially loaded concrete cylinder embedded with the smart rebar-aggregate is numerically and experimentally analyzed to investigate their performances of impedance monitoring. Additionally, empirical equations are formulated to represent the relationships between measured impedance signatures and applied compressive stresses. Lastly, an experimental test on a full-scale concrete anchorage embedded with smart rebar-aggregates at various locations is performed to evaluate the feasibility of the proposed method. For a sequence of loading cases, the variation in impedance responses is quantified to evaluate the accuracy of smart rebar-aggregate sensors. The empirical equations formulated based on the axially loaded concrete cylinder are implemented to predict compressive stresses at sensor locations in the PSC anchorage.

摘要

本研究探讨了智能 PZT 嵌入式传感器在预应力混凝土 (PSC) 锚固中基于阻抗的损伤监测的可行性评估。首先,简要介绍了基于阻抗的混凝土锚固损伤监测的概念。其次,选择了 PZT 嵌入式钢筋和骨料的原型设计(所谓的智能钢筋-骨料),以灵敏地获取锚固构件中局部结构损伤引起的阻抗响应。第三,对嵌入智能钢筋骨料的轴向加载混凝土圆柱体进行数值和实验分析,研究其阻抗监测性能。此外,还制定了经验方程来表示测量阻抗特征与施加的压缩应力之间的关系。最后,对嵌入智能钢筋骨料的全尺寸混凝土锚固进行了一系列现场试验,以评估所提出方法的可行性。对于一系列加载情况,量化了阻抗响应的变化,以评估智能钢筋-骨料传感器的准确性。根据轴向加载混凝土圆柱体制定的经验方程用于预测 PSC 锚固中传感器位置处的压缩应力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5ef/8659839/fb056ac8650f/sensors-21-07918-g001.jpg

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