摘要
交通基础设施是国家经济社会发展的基础和必备条件。随着服役期限的增长,交通结构在外部环境和荷载作用的共同影响下,会不可避免地出现损伤或病害,造成一定的经济损失,甚至引发严重的安全事故,因此交通结构的健康监测在交通工程领域起着至关重要的作用。近年来,随着大数据时代的到来以及人工智能技术的发展,一些智能算法如卷积神经网络、支持向量机、遗传算法等也被用于解决交通结构病害监测问题。文章综述了智能算法在隧道、桥梁、高速铁路等交通基础结构病害监测中的研究与应用情况,并对目前存在的问题及未来趋势进行了简要总结。
Transportation infrastructure is the foundation and necessary condition for the country′s economic and social development.With the increase of the service life,damage or disease of the traffic structure will inevitably occur under the combined influence of the external environment and the load.Therefore,the health monitoring of the traffic structure plays a vital role in the field of traffic engineering.In recent years,with the advent of the era of big data and the development of artificial intelligence technology,some intelligent algorithms such as convolutional neural networks,support vector machines,genetic algorithms,etc.have also been used to solve the problem of traffic structure disease monitoring.This paper reviews the research and application of intelligent algorithms in the monitoring of diseases of traffic infrastructure such as tunnels,bridges,and high-speed railways,and briefly summarizes the current problems and future trends.
作者
章亦然
蒋吉清
魏纲
ZHANG Yiran;JIANG Jiqing;WEI Gang(Zhejiang University,Hangzhou 310000;Zhejiang University City College,Hangzhou 310000)
出处
《现代隧道技术》
EI
CSCD
北大核心
2020年第S01期139-146,共8页
Modern Tunnelling Technology
关键词
智能监测
智能识别
神经网络
病害监测
Intelligent monitoring
Intelligent recognition
Neural networks
Disease monitoring
