基于贝叶斯推理和桥梁位移响应的移动车辆荷载识别  

Moving Vehicle Load Identification Based on Bayesian Inference and Bridge Displacement Responses

作　　者：万桂军 黎剑安 WAN Guijun;LI Jian an(China Overseas Co.,Ltd.,Shenzhen 518052,China;College of Civil Engineering and Architecture,Zhejiang University,Hangzhou 310058,China;School of Civil Engineering,Southeast University,Nanjing 211189,China)

机构地区：[1]中海建筑有限公司,广东深圳518057 [2]浙江大学建筑工程学院,浙江杭州310058 [3]东南大学土木工程学院,江苏南京211189

出　　处：《南京工程学院学报（自然科学版）》2024年第2期50-56,共7页Journal of Nanjing Institute of Technology(Natural Science Edition)

基　　金：中央高校基本科研业务费专项资金资助项目(2242022k30024)。

摘　　要：考虑到移动车辆荷载信息对于桥梁设计、运营和维护的重要性,提出基于桥梁动态位移响应识别桥上动态车辆荷载的方法.构造桥梁动态位移响应与动态车辆荷载的关系,通过贝叶斯推理方法反演移动荷载.建立车桥耦合模型进行验证,分析传感器数量及环境噪声对识别精度的影响.结果表明,在桥上布置至少两个位移传感器时,该方法可以有效识别动态车辆荷载,且传感器数量、位置不影响识别精度;但环境噪声会增加动态车辆荷载的识别误差,通过增加传感器数量可以解决该问题.Considering that vehicle load information is of great significance to bridge design,operation and maintenance.A method of identifying dynamic load based on bridge displacement responses is proposed.The relationship between bridge dynamic displacement response and the dynamic vehicle load is constructed,and the moving load is inverted through Bayesian inference method.A vehicle-bridge coupling model is adopted to verify the method,and the influences of the number of sensors and environmental noise on the identification accuracy are discussed.The results indicate that the dynamic load can be identified when there are at least two displacement sensors on bridge.Besides,the number and location of the sensors show no effect on the identification accuracy.However,the accuracy of dynamic loads can be affected by environmental noise,and the accuracy can be improved by increasing the number of sensors.

关 键 词：车桥耦合系统 荷载识别 贝叶斯推理 桥梁动位移响应 状态空间法 

分 类 号：U441[建筑科学—桥梁与隧道工程]