应用科学学报

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大跨斜拉桥基于结构模拟的环境振动测点优化布置

孙正华1, 李兆霞2 陈鸿天3 韩晓林2   

  1. 1:江苏省建筑科学研究院,江苏省建筑工程质量检测中心,江苏 南京 210008;

    2:东南大学 土木工程学院,江苏 南京210096;
    3:香港理工大学 土木与结构工程系,香港九龙

  • 收稿日期:2006-07-17 修回日期:2007-03-12 出版日期:2007-07-30 发布日期:2007-07-30

Optimal Configuration of Ambient Vibration Sensors Based on Structural Modeling for Long Cable-Stayed Bridge

SUN Zheng-hua1, LI Zhao-xia2, CHAN Hung-tian3, HAN Xiao-lin2   

  1. 1: Jiangsu Institute of Building Science, Jiangsu Construction Quality Test Center, Nanjing 210008
    2: College of Civil Engineering, Southeast University, Nanjing 210096
    3: Department of Civil and Structural Engineering, Hong Kong Polytechnic University, Hong Kong
  • Received:2006-07-17 Revised:2007-03-12 Online:2007-07-30 Published:2007-07-30

摘要: 首先运用大型有限元软件ANSYS建立了润扬斜拉桥面向SHM的结构有限元模型,并进行模态分析。然后以模态置信准则(MAC)矩阵的非对角元为目标函数,增加或减少测点自由度使目标函数最小化,从而确定斜拉桥振动测点的最优布点位置。最后,运用现场环境振动测试的数据对根据FEM计算得出的布点方案进行验证。结果表明:由环境振动实测数据得出的测点布置和有限元计算得出的测点布置结果是一致的,说明根据有限元分析得出的测点布置是有效的。

关键词: 大跨桥梁, 有限元模型, 动力特性, 测点布置, 模态置信准则(MAC)

Abstract: This paper studies the finite element (FE) modeling oriented to structural health monitoring (SHM) of long cable-stayed bridge and the optimal sensor configuration based on the structural dynamic response. Firstly, the FE oriented SHM of Runyang Cable-Stayed Bridge (RYCB) is developed using ANSYS. Model analysis of RYCB is carried out using the developed FE model. Taking the non-diagonal elements of the MAC matrix as target function, and increasing or decreasing the number of degree of freedom (DOF), the optimal sensor placement of the bridge is obtained by minimizing the target function. Validation of the sensor placement is checked with the results obtained from the ambient vibration test of RYCB. It is shown that the sensor placement obtained from the measured data of RYCB is coincident with the result calculated from the FE model. The sensor placement obtained from the FE model of RYCB is valid from the experimental point of view.

Key words: long-span bridge, finite-element model, dynamic characteristic, sensor placement, model assurance criterion (MAC)