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基于小波分解的能量谱分析方法及其在汶川地震中的应用
Wavelet-based analysis of the energy spectrum and its application to Wenchuan earthquake
【摘要】 利用小波分解将地震波分解成不同频带的小波分量,进而对地震波输入结构的总能量EI进行分解,得到能量在频域上的分布,这是一个有意义的结果。通过对各分量能量谱峰值的分析,可以从另一个方面得到地震波的频谱特性,能量谱峰值出现的结构固有周期与地震波傅里叶谱的卓越周期相同,也可以作为估算卓越周期的一种方法。
【Abstract】 The seismic wave is decomposed into components of different frequency bands of wavelet by using the wavelet decomposition transform,then the total energy of structure inputted by seismic wave is decomposed,and the energy distribution in the frequency domain is got,which is a meaningful result.By analysis of the peaks of each sub-component energy spectrum the spectral characteristics of seismic wave can be obtained,at which the spectrum peak occurs.The structural natural period at which the energy is the same as the predominant period of the Fourier spectrum of seismic waves,so it can also be used as a way to estimate the predominant period of the seismic wave.
【Key words】 wavelet transform; input energy spectra; energy distribution; predominant period;
- 【文献出处】 世界地震工程 ,World Earthquake Engineering , 编辑部邮箱 ,2011年03期
- 【分类号】P315.6
- 【被引频次】7
- 【下载频次】188