Advances in artificial intelligence for structural health monitoring: A comprehensive review

The deterioration of civil infrastructure presents a critical economic and societal challenge, necessitating the development of advanced and efficient monitoring strategies. Artificial intelligence (AI) has recently emerged as a powerful tool for structural health monitoring (SHM) that considerably improves accuracy, robustness, and operational efficiency. Early AI applications focused predominantly on vibration-based monitoring, enabling automated and data-driven damage detection processes. As AI techniques have advanced, their scope has expanded to large-scale data analyses, thereby significantly enhancing predictive maintenance strategies. Trends toward the integration of AI with vision-based methods have…

• CN
  Chungbuk National University
• NR
  National Research Foundation of Korea

  Award: RS-2024\u201300454760