Identification of Simulated Damage in Prestressed Anchorage Using Admittance-Based Active Sensing Technique

Abstract

This study examined the feasibility of the admittance-based method for detecting simulated damage in the bearing plate of a prestressed anchorage. The proposed method utilized the PZT (lead zirconate titanate) interface technique to acquire a strong admittance response from the anchorage. Firstly, the numerical feasibility of the method was demonstrated by detecting the presence of fatigue cracks and preload changes in a fixed–fixed beam-like structure. Next, the experimental verification was carried out using a lab-scale prestressed anchorage model. A PZT interface prototype was designed and surface-mounted on the bearing plate. The admittance response of the PZT interface was measured before and after the simulated damage cases of the bearing plate. Afterwards, a statistical damage metric, root-mean-square deviation (RMSD) was used to quantify the change in the admittance spectrum and identify the damage’s presence. It was shown that the experimental admittance response was consistent with the numerical simulation result in the same effective frequency band. Both the numerical and experimental results showed clear shifts in the admittance spectrum due to structural damage. The simulated damages in the bearing plate were successfully identified by the RMSD evaluation metric.

Research on bolt looseness monitoring based on electromechanical impedance transmissibility technology

“…Li et al [28] used embedded smart aggregates by combining EMI technology and machine learning to monitor the strength development of early-age concrete. Nguyen et al [29] examined the feasibility of the admittance-based method for detecting simulated damage in the bearing plate of a prestressed anchorage. The results indicated that structural damage leads to significant changes in the admittance spectrum.…”