Tunnel infrastructure health management: A state-of-the-art review on defect development mechanism and robot-aided inspection system
Yujing Jiang, Zhutian Pan, Xuepeng Zhang
Abstract
Underground structures are subjected to progressive structural deterioration over their lifespans. This poses a significant challenge to the operational safety. Accurate classification and subsequent in-depth root cause analysis can contribute to the optimization of operational efficiency, informed decision-making, and proactive prevention. This study investigated the defect development mechanism using chain rules for the classification of tunnel defects. Six common non-destructive testing methods and advanced robotic inspection systems were reviewed for their ability to facilitate rapid and accurate defect detection. Finally, the current challenges in tunnel infrastructure health management are presented, and future prospects are suggested.