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首页> 外文期刊>Archive of Applied Mechanics >System identification from stationary ambient response using wavelet analysis with variable modal scales
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System identification from stationary ambient response using wavelet analysis with variable modal scales

机译:使用具有可变模态尺度的小波分析,从静止环境响应的系统识别

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摘要

This study used a wavelet-based technique with variable modal scales to achieve the identification of modal parameters. Combined with the correlation technique or random decrement algorithm, the stationary response can be transformed into a quasi-free response, which can be employed to estimate the number of excited modes of structures and determine the modal scale corresponding to the major modes solely through the wavelet analysis. An improvement method is also proposed for the amplitude maximum method (AM) in the determination of modal scale obtained from the ridges in the time-frequency wavelet spectrum. The amplitude accumulation method can be employed to more accurately estimate the corresponding scale of each mode and avoid the disadvantage of low robustness of the conventional AM method for measurements contaminated with noise. Numerical simulations and an experimental validation of a realistic 6061-T6 aluminum alloy beam are used to demonstrate the effectiveness and robustness of the proposed method to identify modal parameters from the response of structures subjected to stationary ambient excitation under noisy conditions.
机译:本研究使用了基于小波的技术,具有可变模态尺度来实现模态参数的识别。结合相关技术或随机递减算法,可以将静止响应变换为准无响应,这可以用于估计结构的激发模式的数量,并通过小波确定与主要模式相对应的模级分析。还提出了一种改进方法,用于确定从时频小波频谱中的脊获得的模态的确定模式中的幅度最大方法(AM)。可以采用幅度累积方法来更准确地估计每种模式的相应比例,并避免传统AM方法的低稳健性的缺点,用于用噪声污染的测量。现实模拟和现实6061-T6铝合金梁的实验验证用于证明所提出的方法的有效性和鲁棒性,从而在噪声条件下经受固定环境激励的结构响应识别模态参数的效果和鲁棒性。

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