摘要
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.
结构健康监测和结构性态预测对于结构全生命周期的智能防灾与运维至关重要.预测性维护策略在工业制造领域的发展促进了相关策略在土木工程领域的探索及应用,例如结构性态评估、损伤诊断和性能预测等.回顾了预测性维护框架和各种现有解决方案,着重探讨了数据采集、状态检测、损伤预测、维护计划以及成熟的预测性维护系统.介绍了预测性维护在土木工程领域的前沿成果和工程应用,包括在高层结构、深基坑和其他基础设施中的应用.讨论了在当前技术条件下土木工程结构实施预测性维护所面临的挑战,如数据驱动方法的模型可解释性、预测性维护标准等,并探讨了在该领域未来的研究前景.
基金
The National Natural Science Foundation of China(No.52278312)
the National Key Research and Development Program of China(No.2022YFC3801202)
the Fundamental Research Funds for the Central Universities.
作者简介
Shan Jiazeng(1986—),male,doctor,professor;corresponding author:Loong Cheng Ning,male,doctor,postdoctoral fellow,cnloong@connect.ust.hk.
