模态参数自动识别的虚假模态剔除方法综述

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振动与冲击 ›› 2017, Vol. 36 ›› Issue (13) : 1-10.

论文

模态参数自动识别的虚假模态剔除方法综述

宋明亮，苏亮，董石麟，罗尧治

作者信息 +

A review of discriminating spurious modes in automaticmodal parametric identification

Song Ming-liang,Su Liang, Dong Shi-lin,Luo Yao-zhi

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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较为详细全面的介绍，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。

Abstract

The key point of autonomous modal parametric identification is automatically discriminating spurious modes from physical modes.Autonomous spurious modes elimination methodsofmodal parameter identification are reviewed. Focusing on how to automatically eliminate mathematicalmodes, the existing methodsare divided into three categories: automatic analysis of stabilization diagrams based on intelligence algorithm, study of new criteria to determine the physical modes and development of identification algorithms that candeliver clearer stabilization diagrams. Detailed and comprehensive presentation of the principles of the above three methods are given.What’s more, the characteristics, problems and future research directions of these methods are discussed. At last, combined with the measured acceleration data, representative automatic identification methodsare used to automatically discriminate the false modes of a reinforced concrete structure. The accuracy of the representative automatic identification methodswere 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

Key words

modal parameter / autonomous identification / criteria / stabilization diagram / spurious mode / fuzzy clustering method

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宋明亮，苏亮，董石麟，罗尧治. 模态参数自动识别的虚假模态剔除方法综述[J]. 振动与冲击, 2017, 36(13): 1-10

Song Ming-liang,Su Liang, Dong Shi-lin,Luo Yao-zhi. A review of discriminating spurious modes in automaticmodal parametric identification[J]. Journal of Vibration and Shock, 2017, 36(13): 1-10

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