基于复Morlet小波变换的大跨空间结构模态参数识别研究

滕军;朱焰煌;周峰;李惠;欧进萍;傅学怡;顾磊­­­

振动与冲击 ›› 2009, Vol. 28 ›› Issue (8) : 25-29.

PDF(989 KB)
PDF(989 KB)
振动与冲击 ›› 2009, Vol. 28 ›› Issue (8) : 25-29.
论文

基于复Morlet小波变换的大跨空间结构模态参数识别研究

  • 滕军1,朱焰煌1,周峰2,李惠2,欧进萍2,傅学怡3,顾磊­­­1
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STUDY ON MODAL PARAMERERS IDENTIFICATION OF LARGE-SPAN SPATIAL STRUCTURES BASED ON COMPLEX MORLET WAVELET TRANSFORM

  • TENG Jun1, ZHU Yan-huang1, ZHOU Feng2, LI Hui2, OU Jin-ping2,
    FU Xue-yi3, GU Lei1
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摘要

摘 要 探讨了基于复Morlet小波变换的结构频率及阻尼比的识别方法,推导了基于小波变换系数的振型识别原理。为提高识别密集模态的精度,提出了基于最小标准差的小波中心频率及带宽的自适应选择方法。针对大跨空间结构具有低频密集模态以及难以实现用力锤或激振器来激励等特点,提出了自然激励法与小波变换相结合的模态参数识别方法。数值仿真及奥运场馆国家游泳中心现场实测数据分析表明,基于复Morlet小波变换的方法能有效识别低频密集模态参数。

Abstract

Abstract: The identification technology of frequency and damping ration based on complex Morlet wavelet transform is introduced, the principle of modal shape identification based on wavelet coefficients is deduced. In order to improve the identification precision of closely spaced modals, a method is developed to adaptive select the band wide and center frequent of mother wavelet based on minimum standard deviation. The natural frequency of large-span spatial structures are very low and closely, and it’s very difficult to excite the structures by exciter, in order to identify the modal parameter of large-span spatial structures, a combination method of NExT and wavelet is proposed. The results of numerical simulation and the analysis of data from the field test of Olympic venue NAC (National Aquatics Center) show that, it is effective to identify the low and closely spaced modal by complex Morlet wavelet.

关键词

复Morlet小波变换 / 模态参数识别 / 密集模态 / 最小标准差

Key words

complex Morlet wavelet transform / modal parameter identification / closely spaced modal / minimum standard deviation

引用本文

导出引用
滕军;朱焰煌;周峰;李惠;欧进萍;傅学怡;顾磊­­­. 基于复Morlet小波变换的大跨空间结构模态参数识别研究[J]. 振动与冲击, 2009, 28(8): 25-29
TENG Jun;ZHU Yan-huang;ZHOU Feng;LI Hui;OU Jin-ping; FU Xue-yi;GU Lei. STUDY ON MODAL PARAMERERS IDENTIFICATION OF LARGE-SPAN SPATIAL STRUCTURES BASED ON COMPLEX MORLET WAVELET TRANSFORM[J]. Journal of Vibration and Shock, 2009, 28(8): 25-29

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