模态参数自动识别的虚假模态剔除方法综述  

Summary of methods eliminating spurious modes in automatic modal parametric identification

作　　者：宋明亮[1] 苏亮[1] 董石麟[1] 罗尧治[1] 

机构地区：[1]浙江大学建筑工程学院,杭州310058

出　　处：《振动与冲击》2017年第13期1-10,共10页Journal of Vibration and Shock

基　　金：十二五国家科技支撑计划(2012BAJ07B03)

摘　　要：模态参数自动识别技术的关键在于对真实模态和虚假模态进行自动甄别。对模态参数识别方法中自动剔除虚假模态的方法进行了综述。围绕如何自动剔除虚假模态,将现有模态参数自动识别方法分为三类:基于智能算法的稳定图自动分析方法、基于指标阈值的真假模态自动区分方法、基于改进识别算法获得清晰稳定图的自动分析技术。对以上三类方法的原理进行了详细的介绍,提出了各自的特点、存在的问题以及将来的研究方向。结合实测加速度数据,采用具有代表性的自动识别方法对一钢筋混凝土结构建筑进行虚假模态的自动剔除,并对不同方法的识别结果进行了比较。The key of automatic modal parametric identification is automatically eliminating spurious modes from identified modes. Here, methods eliminating spurious modes in automatic modal parametric identification were reviewed. Aiming at how to automatically eliminate spurious modes, the existing automatic modal parametric identification methods were divided into three categories including automatic analysis methods of stabilization diagrams based on intelligence algorithms, true and false modes automatic distinction methods based on index threshold values and automatic analysis techniques getting clearer stabilization diagrams based on improved identification algorithms. Detailed and comprehensive introductions to principles of the above three methods were presented. The characteristics, problems and future study directions of these methods were discussed. At last, combined with the measured acceleration data, representative automatic identification methods were used to automatically eliminate false modes of a reinforced concrete structure. The identified results using these methods were compared.

关 键 词：模态参数 自动识别 指标 稳定图 虚假模态 模糊聚类 

分 类 号：TU311.3[建筑科学—结构工程]