基于移动传感的桥梁自动模态参数识别

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振动与冲击 ›› 2023, Vol. 42 ›› Issue (7) : 262-266.

论文

基于移动传感的桥梁自动模态参数识别

胡卫华，袁小杰，唐德徽，徐增茂，卢伟，滕军

作者信息 +

Automatic modal parametric identification of bridge based on mobile sensing

HU Weihua, YUAN Xiaojie, TANG Dehui, XU Zengmao, LU Wei, TENG Jun

Author information +

文章历史 +

摘要

本文提出一种基于移动传感的桥梁自动模态参数识别方法。移动传感单元包括一个动力车和一个刚性小拖车，动力车搭载了数据采集和传输设备以及北斗授时模块，刚性拖车搭载加速度拾振器，动力车与拖车的连接具有良好的隔振效果，有效获取桥梁结构本身不同位置的振动信号。模态实验时，移动传感单元依次自动获取不同测点的结构振动信息，通过北斗授时模块实现与固定参考单元获取的振动信息相位时间同步。基于随机子空间的自动模态参数识别方法可以快速从固定参考单元与移动传感单元获取的振动信息中提取结构模态信息。该方法可以获取较高的空间分辨率结构振动信息，进而获取准确的结构振型信息。将移动传感应用于一座下承式系杆拱桥，取得了优良的模态识别效果。

Abstract

This paper proposes an automated modal parameter identification method of bridge based on mobile sensing. The mobile sensing unit consists of a power vehicle and a rigid trailer. The power vehicle is equipped with a data acquisition and transmission module and “Beidou” timing module. The rigid trailer is equipped with an accelerometer. The connection between the power vehicle and the trailer is designed so that the vibration signal of the bridge can be effectively acquired. In the modal experiment, the mobile sensing unit automatically records the structural vibration in different measuring points. The phase time synchronization between the mobile measuring unit and the fixed reference unit is realized by the “Beidou” timing module. The bridge modal parameters can be extracted efficiently by the automated stochastic subspace identification algorithm from the vibration information obtained from the fixed measuring unit and the mobile sensing unit. High spatial resolution can be obtained based on mobile sensing system, and then accurate structural mode shape information can be identified. The mobile sensing system is applied to the modal tests of a through tied arch bridge and the modal parameters are identified efficiently.

导出引用

胡卫华，袁小杰，唐德徽，徐增茂，卢伟，滕军. 基于移动传感的桥梁自动模态参数识别[J]. 振动与冲击, 2023, 42(7): 262-266

HU Weihua, YUAN Xiaojie, TANG Dehui, XU Zengmao, LU Wei, TENG Jun. Automatic modal parametric identification of bridge based on mobile sensing[J]. Journal of Vibration and Shock, 2023, 42(7): 262-266

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