In this paper, the deterioration of structural parameters namely equivalent stiffness, mass and damping due to corrosion in prestressed concrete (PC) structures using a smart probe-based piezo sensor (SPPS) via electro-mechanical impedance (EMI) technique is presented. The effectiveness of the SPPS was first demonstrated qualitatively by a change in the raw conductance signatures during the corrosion progression and different phases of corrosion (initiation, propagation, and cracking) was identified by the quantitative statistical damage indices. Assessment of material degradation under chloride-laden environment was done using equivalent structural parameters identified by SPPS from the raw admittance signatures and demonstrated the possibility to calibrate with the corrosion rates. Experimental results indicate that SPPS is very sensitive in capturing the changes during the corrosion progression and statistical metric-based method can identify the phases of corrosion. The identified structural parameters (stiffness, mass, and damping) are found to be effective in assessing the material degradation under corrosion in a realistic manner. Hence, it can be concluded that the SPPS via EMI method can be effectively employed in real-life scenarios for diagnosing the PSC structures subjected to corrosion.

本文提出了一种基于智能探针的压电传感器（SPPS）通过机电阻抗（EMI）技术使预应力混凝土（PC）结构中的腐蚀引起的结构参数（即等效刚度，质量和阻尼）的劣化。首先通过腐蚀过程中原始电导特征的变化来定性地证明SPPS的有效性，并通过定量统计损伤指数确定腐蚀的不同阶段（引发，传播和开裂）。使用SPPS从原始导纳特征中识别出的等效结构参数，对在充满氯化物的环境下的材料降解进行了评估，并证明了可以通过腐蚀速率进行校准。实验结果表明，SPPS在捕获腐蚀过程中的变化方面非常敏感，基于统计度量的方法可以识别腐蚀的阶段。发现所确定的结构参数（刚度，质量和阻尼）可有效地以实际方式评估腐蚀下的材料降解。因此，可以得出结论，通过EMI方法的SPPS可以有效地用于现实情况中，以诊断遭受腐蚀的PSC结构。