连续刚构桥动力特性参数识别与有限元模型修正
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摘要
以东营黄河公路大桥——大跨预应力混凝土连续刚构桥为对象,首先利用ANSYS建立了全桥的三维有限元模型并进行了理论模态分析;并应用频率分解方法(FDD)和特征系统实现算法(ERA)分析了该桥所安装的健康监测系统采集的加速度响应数据,进行了桥梁动力特性参数识别;最后,在所建立的初始有限元模型和识别的实际桥梁动力特性参数的基础上,采用模型修正的方法,得到了该桥修正的有限元模型。研究结果表明,通过该桥监测系统采集的加速度数据可以较好地识别其模态参数,所识别的模态参数可作为结构动力特性修正的依据;修正后的有限元模型能更真实地反映结构的动力特性,模型修正的结果较好地反映了实际桥梁的物理特性。该模型可以作为该桥梁长期健康监测与状态评估的基准模型。
A three dimensional FE model of a long-span prestressed continuous rigid frame bridge—Dongying Yellow River Bridge was constructed and the modal analysis was performed using ANSYS.The real dynamic characteristic parameters of this bridge were identified by using the Frequency Domain Decomposition (FDD) method and the Eigensystem Realization Algorithm(ERA) method from the acceleration data recorded by the monitoring system on this bridge.A refined FE model of this bridge was obtained by updating the initial FE model using the identified modal parameters.The research results show that(1)the modal parameters of this bridge can be identified with good accuracy from the acceleration responses collected by the monitoring system,and the identified modal parameters can be used to update the initial FE model;(2)the updated FE model can accurately reflect the structural dynamic characteristics of the bridge,and the updated physical parameters have good connectivity with the physical condition of the bridge.It is therefore concluded that the updated FE model can be a reliable benchmark model for long-term health monitoring and condition assessment of this bridge.
A three dimensional FE model of a long-span prestressed continuous rigid frame bridge—Dongying Yellow River Bridge was constructed and the modal analysis was performed using ANSYS.The real dynamic characteristic parameters of this bridge were identified by using the Frequency Domain Decomposition (FDD) method and the Eigensystem Realization Algorithm(ERA) method from the acceleration data recorded by the monitoring system on this bridge.A refined FE model of this bridge was obtained by updating the initial FE model using the identified modal parameters.The research results show that(1)the modal parameters of this bridge can be identified with good accuracy from the acceleration responses collected by the monitoring system,and the identified modal parameters can be used to update the initial FE model;(2)the updated FE model can accurately reflect the structural dynamic characteristics of the bridge,and the updated physical parameters have good connectivity with the physical condition of the bridge.It is therefore concluded that the updated FE model can be a reliable benchmark model for long-term health monitoring and condition assessment of this bridge.
引文
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[2]KO J M,NI Y Q,WANG J Y,et al.Studies of Vibration-based Damage Detection of Three Cable-supported Bridges inHong Kong[C]//Proceedings of the International Confer-ence on Engineering and Technological Science 2000-Session 5:Civil Engineering in the 21stCentury.Beijing:2000:105-112.
[3]OU Jin-ping.Research and Practice of Intelligent Heath Moni-toring Systems for Civil Infrastructures in Main China[C]//Proceedings of Third China-Japan-US Symposium on StructuralHealth Monitoring and Control and Fourth Chinese NationalConference on Structural Control.Dalian:2004:3-15.
[4]缪长青,韩惠婷,李爱群,等.江阴大桥原结构安全监测系统设计分析[J].公路交通科技,2007,24(11):81-86.MIAO Chang-qing,HAN Hui-ting,LI Ai-qun,etal.Analysis on the Original SHM System of Jiangyin Bridge[J].Journal of Highway and Transportation Research and Develop-ment,2007,24(11):81-86.
[5]周文松,李惠,欧进萍,等.大型桥梁健康监测系统的数据采集子系统设计方法[J].公路交通科技,2006,23(3):83-87.ZHOU Wen-song,LI Hui,OU Jin-ping,et al.DesignMethod of Data Acquisition System of Health Monitoring Sys-tems for Long Span Bridges[J].Journal of Highway andTransportation Research and Development,2006,23(3):83-87.
[6]王解军.车辆荷载作用下大跨桥梁的随机振动[J].中南公路工程,2003(4):20-23.WANG Jie-jun.Random Vibration of Long Span Bridge underMoving Vehicles[J].Central South Highway Engineering,2003(4):20-23.
[7]刘毅,李爱群,丁幼亮,等.大跨悬索桥面向结构健康监测的基准有限元模型[J].公路交通科技,2007,24(8):46-51.LIU Yi,LI Ai-qun,DING You-liang,et al.Structural-health-monitoring-oriented Baseline Finite Element Model of a Long-span Suspension Bridge[J].Journal of Highway and Trans-portation Research and Development,2007,24(8):46-51.
[8]ZHANG T,OU Jin-ping.Full-life Monitoring and PerformanceAnalysis of the Dongying Yellow River Bridge[C]//Proceedingsof Asia-Pacific Workshop on Structural HealthMonitoring.Yokohama,Japan:2006:270-279.
[9]宗周红,赖苍林,林友勤,等.大跨度预应力混凝土连续刚构桥的动力特性分析[J].地震工程与工程振动,2004,24(3):98-104.ZONG Zhou-hong,LAI Cang-lin,LIN You-qin,etal.Analysis of Dynamic Characteristics of a Large-span Pre-stressed Concrete Continuous Rigid Frame Bridge[J].Earthquake Engineering and Engineering Vibration,2004,24(3):98-104.
[10]续秀忠,华宏星,陈兆能.基于环境激励的模态参数辨识方法综述[J].振动与冲击,2002,21(3):1-5.XU Xiu-zhong,HUA Hong-xing,CHEN Zhao-neng.Reviewof Model Identification Method Based on Ambient Excitation[J].Journal of Vibration and Shock,2002,21(3):1-5.
[11]张德文,魏阜旋.模型修正与破损诊断[M].北京:科学出版社,1999.ZHANG De-wen,WEI Fu-xuan.Model Updating and DamageDiagnosis[M].Beijing:Science Press,1999.
[12]DUAN Z D,LIU Y,SPENCER B F.Finite Element ModelUpdating of Structures Using a Hybrid Optimization Technique[C]//Proceedings of SPIE v 5765,n PART 1,SmartStructures and Materials 2005-Sensors and Smart StructuresTechnologies for Civil,Mechanical,and Aerospace Sys-tems.United States:International Society for Optical Engineer-ing,2005:335-344.
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