基于小波分解的波速估算和频散特性分析

Feiyu Guo, Yinfeng Dong, Yiping Wang, Xingyu Zhang, Qingshuang Su
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引用次数: 0

摘要

由于地壳介质和地层边界的复杂性,地震波在介质中传播后通常会出现衰减和频散。通过研究地震波频散的规律性,可以提取土层信息。目前的频谱分解技术较少考虑地震波的信号滤波处理,地层的复杂性往往会降低频散分析的精度。在此基础上,提出了一种根据地表和井下地震动记录计算场地频散特性的新方法,该方法比面波频谱分析法(SASW)简单,且无需多个拾波器和额外设备。该方法基于小波分解和地震波滤波,并建立了一个数值模拟实例来验证该方法的有效性。然后,将 2011 年 3 月 11 日东北地震的记录作为实际强震实例,进行滤波和频散分析。最后得出结论,基于小波分解的地震波频散分析方法可以有效地过滤和分析特定频段的地震波。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of wave velocity and analysis of dispersion characteristics based on wavelet decomposition
Due to the complexity of the crustal medium and stratigraphic boundaries, seismic waves typically exhibit attenuation and dispersion after propagation through the medium. By studying the regularity of seismic wave dispersion, soil layer information can be extracted. Current spectral decomposition techniques take less account of signal filtering processing of seismic waves, and the complexity of the stratigraphy tends to reduce the accuracy of dispersion analysis. Based on the above, a new method for calculating the dispersion characteristics of a site from surface and downhole ground vibration recordings is proposed, which is simpler than the spectra analysis of surface waves (SASW) method and eliminates the need for multiple pickups and additional equipment. This method is based on wavelet decomposition and seismic wave filtering, and a numerical simulation example is established to verify the effectiveness of the method. Then, the records of the Tohoku earthquake on March 11, 2011 are used as actual strong earthquake examples for filtering and dispersion analysis. Finally, it is concluded that the seismic wave dispersion analysis method based on wavelet decomposition can effectively filter and analyze seismic waves in specific frequency bands.
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