Review of artificial intelligence-based bridge damage detection

• Published in: Advances in mechanical engineering Vol. 14; no. 9
• Main Authors: Zhang, Yang, Yuen, Ka-Veng
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.09.2022; Sage Publications Ltd; SAGE Publishing
• Subjects: Algorithms; Artificial intelligence; Bridge inspection; Damage detection; Data processing; Ground penetrating radar; Infrared imagery; Infrared imaging; Infrared radar; Machine learning; Radar imaging; Structural health monitoring; Thermal imaging; Vibration response; damage detection; sensor data; machine learning; Bridge; artificial intelligence

Bridges are often located in harsh environments and are thus extremely susceptible to damage. If the initial damage is not detected in time, it can develop further causing safety hazards. Therefore, accurate detection of bridge damage is an important topic. In recent years, artificial intelligence t...