振动、测试与诊断2024,Vol.44Issue(1) :107-112.DOI:10.16450/j.cnki.issn.1004-6801.2024.01.016

基于频域分解与重采样的结构欠采样模态辨识

Modal Identification of Structural Under-Sampling Based on Frequency Domain Decomposition and Resampling

利雅洁 吕中荣 汪利
振动、测试与诊断2024,Vol.44Issue(1) :107-112.DOI:10.16450/j.cnki.issn.1004-6801.2024.01.016

基于频域分解与重采样的结构欠采样模态辨识

Modal Identification of Structural Under-Sampling Based on Frequency Domain Decomposition and Resampling

利雅洁 1吕中荣 1汪利1
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作者信息

  • 1. 中山大学航空航天学院 深圳,518107
  • 折叠

摘要

为了研究欠采样情况下的结构模态辨识问题,首先,在频域分解法识别结构模态参数的基础上,引入重采样策略,对不同采样频率下的参数进行辨识;其次,使用模态确认准则进行模态匹配,结合扇形折叠曲线对欠采样下发生混叠的模态参数进行还原,还原出结构的真实频率以及阻尼比;最后,通过一个8自由度仿真模型和一个4层框架实验案例,证明所提方法能够准确识别欠采样结构的频率、阻尼比和振型,重采样策略能够切实解决欠采样模态辨识问题,从而验证了该方法的正确性和可行性.

Abstract

The current study investigates how to identify the structural modal for under-sampled structures.First,a resampling strategy is introduced based on the frequency domain decomposition method to identify struc-tural modal parameters at different sampling frequencies that may suffer from aliasing.Second,a modal assur-ance criterion is employed for modal matching,combined with the fan-folded model,to restore the modal param-eters that suffer from aliasing due to under-sampling,thereby recovering the true frequencies and damping ratios of the structure.Finally,through an 8-degree-of-freedom simulation model and an experimental case with a 4-level framework,it is demonstrated that the proposed method accurately identifies the frequencies,damping ra-tios,and mode shapes of under-sampled structures.Obtained results validate the correctness and feasibility of the resampling strategy,confirming that this approach effectively addresses the issue of modal identification for under-sampled structures.

关键词

模态辨识/欠采样/模态混叠/频域分解法/重采样

Key words

modal identification/undersampling/mode aliasing/frequency domain decomposition/resampling

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基金项目

国家自然科学基金资助项目(11972380)

出版年

2024
振动、测试与诊断
南京航空航天大学 全国高校机械工程测试技术研究会

振动、测试与诊断

CSTPCDCSCD北大核心
影响因子:0.784
ISSN:1004-6801
参考文献量11
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