结构运营模态参数识别的稀疏分量分析新方法  

A new method of sparse component analysis for structural operational modal parameter identification

作　　者：刘迅 卓卫东[1] 何肖斌 张培旭 LIU Xun;ZHUO Weidong;HE Xiaobin;ZHANG Peixu(College of Civil Engineering,Fuzhou University,Fuzhou 350108,China;Fuzhou Highway Development Center,Fuzhou 350005,China)

机构地区：[1]福州大学土木工程学院,福州350108 [2]福州市公路事业发展中心,福州350005

出　　处：《应用声学》2024年第5期1008-1016,共9页Journal of Applied Acoustics

基　　金：福建省引导性科技计划项目(2023H0049)。

摘　　要：结合时频掩码技术和模糊C均值聚类,提出一种结构运营模态参数识别新方法。该方法根据结构振动响应的能量信息建立时频掩码,通过时频掩码求解结构模态响应,采用单自由度模态参数识别技术从模态响应中识别模态频率和阻尼比。结构振动响应能量峰值处的时频系数被依次提取,经单源点检测后采用模糊C均值聚类对其聚类,将第一个聚类中心作为模态振型。通过数值案例和框架结构试验验证所提方法的有效性。结果表明,所提方法具有良好的模态参数识别精度和噪声鲁棒性。Combining the time-frequency mask technique and fuzzy C-mean clustering,a new method of modal parameter identification for structural operation is proposed.The method establishes a time-frequency mask based on the energy information of the structural vibration response,solves the structural modal response by the time-frequency mask,and identifies the modal frequencies and damping ratios from the modal response by adopting the single-degree-of-freedom modal parameter identification technique.The time-frequency coefficients at the energy peak of the structural vibration response are sequentially extracted,and after single-source point detection,they are clustered by fuzzy C-mean clustering,and the first cluster center is taken as the modal vibration mode.The effectiveness of the proposed method is verified by numerical cases and frame structure tests.The results show that the proposed method has good modal parameter identification accuracy and noise robustness.

关 键 词：运营模态参数识别 盲源分离 稀疏分量分析 时频掩码 聚类方法 

分 类 号：U441[建筑科学—桥梁与隧道工程]