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Modal Identification of High-Speed Railway Bridges through Free-Vibration Detection

机译:通过自由振动检测的高速铁路桥梁模态识别

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摘要

In the dynamic characteristic analysis of high-speed railway bridges, free-vibration responses after a train passes are valuable for modal identification. However, distinguishing between free- and forced-vibration segments requires user intervention, which hinders the reliable and continuous identification of modal parameters, thereby impeding the vibration-based structural state assessment. This paper proposes a free-vibration detection technique whose basis is that the envelope function of each modal component decomposed from the free-vibration data decays exponentially. To extract the modal component adaptively, iterative variational mode decomposition is proposed where the signal is iteratively decomposed into two components until a single-degree-of-freedom component is obtained. Subsequently, the estimated free-vibration data are adopted to identify the modal parameters by the eigensystem realization algorithm with data correlation. A numerical simulation illustrates that the proposed method can provide the optimal free-vibration data for modal analysis. To verify the effectiveness of the proposed method in practice, the accelerations of the railway bridge during the passage of a train are analyzed. The modes can be identified from the estimated free-vibration data but not from the combination of forced- and free-vibration data, which indicates that the separation of forced and free vibration is necessary and can be achieved by the proposed method.
机译:在高速铁路桥梁的动态特性分析中,火车通行证后的自由振动响应对于模态识别有价值。然而,区分自由和强制振动段需要用户干预,其阻碍了模态参数的可靠和连续识别,从而阻碍了基于振动的结构状态评估。本文提出了一种自由振动检测技术,其基础是每种模态分量的包络函数从自由振动数据分解呈指数衰减。为了自适应地提取模态分量,提出了迭代变分模式分解,其中信号迭代地分解成两个组件,直到获得单级自由度分量。随后,采用估计的自由振动数据来通过具有数据相关的Eigensysy系统实现算法来识别模态参数。数值模拟说明所提出的方法可以为模态分析提供最佳的自由振动数据。为了在实践中验证所提出的方法的有效性,分析了火车通道期间的铁路桥的加速度。模式可以从估计的自由振动数据识别,而不是从强制和自由振动数据的组合识别,这表明所需的强制和自由振动的分离是必要的并且可以通过所提出的方法实现。

著录项

  • 来源
    《Journal of Engineering Mechanics》 |2020年第9期|共13页
  • 作者单位

    Ph.D. Candidate School of Civil Engineering Dalian Univ. of Technology Dalian 116023 China.;

    Professor School of Civil Engineering Dalian Univ. of Technology Dalian 116023 China;

    Associate Professor School of Civil Engineering Dalian Univ. of Technology Dalian 116023 China.;

    Professor School of Civil Engineering Dalian Univ. of Technology Dalian 116023 China.;

    Chief Engineer China Railway Major Bridge (Nanjing) Bridge and Tunnel Inspect &

    Retrofit Co. Ltd. No. 8 Panneng Rd Jiangbei Nanjing 210061 China.;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 工程力学;
  • 关键词

    Modal identification; Free vibration; High-speed railway bridge;

    机译:模态识别;自由振动;高速铁路桥;

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