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环境激励下基于ESMD的结构模态参数识别方法

赵斌 封周权 陈政清

噪声与振动控制2019,Vol.39Issue(5):173-178,6.
噪声与振动控制2019,Vol.39Issue(5):173-178,6.DOI:10.3969/j.issn.1006-1355.2019.05.033

环境激励下基于ESMD的结构模态参数识别方法

Structural Modal Parameter Identification under Ambient Excitation based on Extreme-point Symmetric Mode Decomposition

赵斌 1封周权 1陈政清1

作者信息

  • 1. 湖南大学 风工程与桥梁工程湖南省重点实验室,长沙 410082
  • 折叠

摘要

Abstract

A new method based on extreme-point symmetric mode decomposition (ESMD) is presented to identify structural modal parameters under ambient excitation. First of all, the measurement response data is decomposed into a series of narrowband subsignals by the way of band-pass filters. Then, the mode decomposition is carried out on the subsignals by utilizing ESMD method. Finally, random decrement technique (RDT) is applied to the processed data to obtain free-decay responses, which are finally used to identify the modal parameters (frequency, damping ratio and modal shape). This method is applied to identify the modal parameters of a numerical model of a five-story shear building and a three-story real frame structure respectively, the identification results are compared with the theoretical values or the identified results based on the NExT-ERA (Natural Excitation Technique in conjunction with Eigensystem Realization Algorithm) method. The comparison results indicate that the proposed method can effectively eliminate false modes which exist in the results identified by NExT-ERA method. It is shown that the proposed method has good applicability and enough precision for structural modal parameter identification under ambient excitation.

关键词

振动与波/极点对称模态分解/模态参数识别/随机减量技术/环境激励

Key words

vibration and wave/extreme-point symmetric mode decomposition (ESMD)/modal parameter identification/random decrement technique/ambient excitation

分类

建筑与水利

引用本文复制引用

赵斌,封周权,陈政清..环境激励下基于ESMD的结构模态参数识别方法[J].噪声与振动控制,2019,39(5):173-178,6.

基金项目

国家自然科学基金资助项目(51708203) (51708203)

中央高校基本科研业务费资助项目(531107050913) (531107050913)

湖南省高校创新平台开放基金资助项目(17K022) (17K022)

广东省地震工程与应用技术重点实验室开放基金资助项目(2014B030301075-02) (2014B030301075-02)

噪声与振动控制

OACSCDCSTPCD

1006-1355

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