桥梁结构运营模态参数识别方法对比  

Comparison of Operational Modal Parameter Identification Methods for Bridge Structures

作　　者：单德山[1] 黄珍[1] 李乔[1] 

机构地区：[1]西南交通大学桥梁工程系,四川成都610031

出　　处：《桥梁建设》2017年第5期24-29,共6页Bridge Construction

基　　金：国家重点研发计划项目(2016YFC0802202);国家自然科学基金项目(51678489);四川省科技计划项目(2016JY0130)~~

摘　　要：为比较不同桥梁运营模态分析理论和方法在实际桥梁长期运营中的识别效果和效率,以某大跨度斜拉桥健康监测系统1年的实测数据为依托,用探索性数据分析方法对桥梁实测数据进行评判,从实测数据中筛选符合识别方法基本假定的数据,分别运用频域和时域运营模态参数识别方法识别该桥主梁和斜拉索12个月的运营模态参数,并对识别结果进行对比分析。分析结果表明:不同构件可采用不同的识别方法,基于自适应总体平均经验模态分解的数据驱动随机子空间法对运营状态下斜拉桥主梁的密集模态参数识别效果最好;峰值拾取法能准确、快捷地识别运营状态下斜拉索的模态参数。To compare the identification effects and efficiency of the different operational modal analysis theories and methods used for the long-term operation of the real bridge structures,the data measured in 1 year by the structural health monitoring system of a long span cable-stayed bridge were taken as the example and the data were assessed,using the exploratory data analysis method.The data that could satisfy the basic assumptions of the operational modal parameter identification methods were screened from the measured data,the operational modal parameters of the main girder and stay cables of the cable-stayed bridge in the 12 months were identified,respectively using the frequency-domain and time-domain operational modal parameter identification methods and the identification effects were compared and analyzed.The results of the analysis indicate that for the different components of the bridge,the different identification methods can be used.The identification effects of the dense modal parameters of the main girder of the bridge in the operation state,using the data-driven stochastic subspace identification algorithm based on the self adaptive and generally average empirical modal decomposition are the best while with the peak value pick-up method,the modal parameters of the stay cables of the bridge in the operation state can be accurately and rapidly identified.

关 键 词：大跨度桥梁 运营模态分析 频域 时域 参数识别方法 探索性数据分析 

分 类 号：U441.3[建筑科学—桥梁与隧道工程] U446.3[交通运输工程—道路与铁道工程]