基于不确定统计的长斜拉桥振型贝叶斯评估方法研究  

Research on Bayesian Estimation Method for Vibration Mode of Long Cable-Stayed Bridges Based on Uncertain Statistics

作　　者：侯利宗 HOU Lizong(China Railway 19th Bureau Group Co.Ltd.,Beijing 100176,China)

机构地区：[1]中铁十九局集团有限公司,北京100176

出　　处：《铁道建筑技术》2024年第8期109-114,共6页Railway Construction Technology

基　　金：中铁十九局集团有限公司科技研究开发项目(2022-B06)。

摘　　要：随着国内外大型斜拉桥基础设施的发展,大型桥梁的运营期状态监测与评估逐渐成为与交通安全密切相关的行业热点问题。业界大量相关研究表明,斜拉桥的连续微振动模态特性根据风速变化而迅速转变,而此种环境依赖性有待进一步深入研究。本研究通过采用持续微振进行模态分析建立动力系统统计模型,分析频率评估识别频域中的振动模态并对识别结果进行独立验证,最后将结果与时域振动模态识别结果进行对比。通过贝叶斯评估所得变异系数和信噪比结果表明,现有研究所提出的振动模态特性可以进行直接评估,其评估方式具有一定理论价值与工程应用价值。With the development of large-scale cable-stayed bridge infrastructure both domestically and internationally,the monitoring and evaluation of the operational status of large-scale bridges has gradually become a hot industry issue closely related to traffic safety.Numerous studies in the industry have shown that the continuous micro seismic modal characteristics of cable-stayed bridges rapidly change based on measured wind speed changes,and this environmental dependence requires further in-depth research.This study established a statistical model of the dynamic system by using sustained micro seismic modal analysis,analyzed the frequency evaluation to identify vibration modes in the frequency domain and independently verified the identification results,and then compared the results with the time-domain vibration mode identification results.The results of the coefficient of variation and signal-to-noise ratio obtained through Bayesian estimation indicate that the vibration modal characteristics proposed by existing research can be directly evaluated.Its evaluation method has certain theoretical value and engineering application value.

关 键 词：斜拉桥 模态识别 贝叶斯估计 环境振动 结构健康监测 

分 类 号：U448.27[建筑科学—桥梁与隧道工程] O159[交通运输工程—道路与铁道工程]