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    基于MUSIC-VMD的建筑结构模态参数识别

    Modal Parameters Identification of Civil Structures Based on MUSIC-VMD

    • 摘要: 模态参数识别对于大型土木工程结构振动控制、健康监测和状态评估的理论研究和工程应用具有重要意义.基于多重信号分类算法——变分模态分解(MUSIC-VMD)、自然激励技术(NExT)及直接插值法(DI),提出一种建筑结构模态参数识别方法.首先,采用多重信号分类算法(MUSIC)改进中心频率划分过程,以此优化VMD分解效果,将结构振动信号分解为一系列单模态分量;然后,采用NExT计算得到单模态分量的自由衰减响应;最后,利用DI和曲线拟合识别结构的模态参数.通过3层框架结构的数值模型对提出的模态参数识别算法的准确性和适用性进行了验证.结果表明,该算法适用于非平稳激励作用下结构的模态参数识别且具有较好的稳定性和抗噪性.利用该算法对台风“浣熊”作用下香港某超高层建筑的实测非平稳响应进行时频分析,获得了该建筑结构的模态参数,以期该研究结果为台风作用下建筑结构模态参数识别提供科学依据和技术参考.

       

      Abstract: A key issue in the control,health monitoring,and condition assessment of civil structures is the estimation of structural modal parameters based on measured structural responses.In this paper,a modal parameter identification method for civil structures is proposed based on multiple signal classification-variational mode decomposition (MUSIC-VMD),natural excitation technique (NExT),and direct interpolating (DI).Firstly,the VMD decomposition is optimized by improving the center frequency division process using the MUSIC algorithm,which can decompose the structural vibration signal into a series of single-mode components.Then,NExT is used to obtain the free decay response of the single-mode component.Finally,the damping ratio and natural frequency of the structure are identified using DI and curve fitting.The accuracy and applicability of the proposed modal parameter identification algorithm are verified by the numerical model of a three-layer frame structure.The results show that the proposed algorithm is suitable for modal parameter identification of structures under non-stationary excitation and has good stability and noise immunity.Furthermore,the algorithm is used to deal with the measured non-stationary response of a high-rise building in Hong Kong under Typhoon Neoguri.The modal parameters of the structure are estimated.The presented results are valuable for the identification of structural modal parameters of civil structures under typhoons.

       

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