Predictive maintenance and its applications in civil engineering structures: A review

Abstract

Structural health monitoring and performance prediction are crucial for smart disaster mitigation and intelligent management of structures throughout their lifespan. Recent advancements in predictive maintenance strategies within the industrial manufacturing industry have inspired similar innovations in civil engineering, aiming to improve structural performance evaluation, damage diagnosis, and capacity prediction. This review delves into the framework of predictive maintenance and examines various existing solutions, focusing on critical areas such as data acquisition, condition monitoring, damage prognosis, and maintenance planning. Results from real-world applications of predictive maintenance in civil engineering, covering high-rise structures, deep foundation pits, and other infrastructure, are presented. The challenges of implementing predictive maintenance in civil engineering structures under current technology, such as model interpretability of data-driven methods and standards for predictive maintenance, are explored. Future research prospects within this area are also discussed.