Defect detection of FRP-bonded civil structures under vehicle-induced airborne noise

Fiber-reinforced polymer (FRP)-bonded civil structures have been increasingly used in various construction fields, such as building, bridge, and tunnel. To maintain their designed mechanical performance, the integrity of interfacial bonding should be detected on a regular basis. From many recent laboratory studies, acoustic-laser technique is promising to be applied for identifying the presence of delamination or debonding in FRP-bonded civil structures. However, the defect detection performance of this technique towards real infrastructure encounters a challenging problem related to airborne vehicle noise as the number of cars circulating in urban area increases rapidly. In this study, we deal with the effect of vehicle noise on acoustic-laser technique when applying it in defect detection of FRP-bonded structures. Vehicle sound is found to not only raise the noise floor in measured frequency spectrum but also induce noise-related peaks (below 2000 Hz). Noise from a single passing vehicle causes greater reduction in signal-to-noise (SNR) ratio than that from a platoon of vehicle stream. Additionally, detecting large defect is more vulnerable to acoustic interference of vehicle noise than the small one. A quantitative function between the SNR and the noise level is set up to estimate the performance for defect detection in a construction area near the traffic flow. To handle the vehicle noise issue, a denoising scheme is proposed and demonstrated for practical defect detection in the field. (C) 2020 Elsevier Ltd. All rights reserved.

Automated summary

The study explores the impact of vehicle noise on the acoustic-laser technique in defect detection of FRP-bonded structures, finding that vehicle noise raises the noise floor in the measured frequency spectrum and induces noise-related peaks. Vehicle noise has a greater effect on detecting large defects and a denoising scheme is proposed to address this issue.