摘要
随着我国交通建设的高速发展,大跨度缆索体系桥梁逐渐占据重要地位,而运营中的大跨度缆索桥梁面临各种突发事件和安全风险,迫切需要通过健康监测系统建立感知报警、状态评估体系。针对大跨度缆索体系桥梁较易出现的涡激振动,基于桥梁振动和风速大数据提出桥梁涡振自动识别技术,以辅助桥梁管养机构进行应急管理,提升桥梁管养技术水平,完善公路桥梁安全风险防控体系和联动机制。
With the rapid development of China’s transportation, the long-span cable system bridge plays an important role. The long-span cable bridge is confronted with various emergencies and safety risks in operation. It is urgent to establish bridge health monitoring system to improve perceptual alarm and state evaluation system.In this paper,based on the big data of bridge vibration and wind speed,an automatic identification technique for bridge vortexes is proposed,which is used to assist bridge management departments and agency for emergency management and to improve the highway and bridge safety risk prevention and control system and interaction mechanism.
作者
金耀
徐文城
王俊博
崔营营
韩飞杨
JIN Yao;XU Wen-cheng;WANG Jun-bo;CUI Ying-ying;HAN Fei-yang(C00C Highway Comsultants Co.Ltd.,Beijing 100088,China)
出处
《公路》
北大核心
2022年第7期162-166,共5页
Highway
关键词
大跨度缆索桥梁
涡振
大数据
自动识别技术
large-span cable bridge
vortex vibration
big data
automatic identification technology