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| Source excitation characteristics of transient Rayleigh surface waves and the superposition and fusion of multi-dispersion spectra |
CHEN Zhen-Hua1( ), ZHANG Sheng-Biao2, ZENG Qi-Yan3, ZHANG Da-Zhou3() |
1. Guangdong Transportation Industry Investment Co., Ltd., Guangzhou 510263, China
2. Hunan Zhili Technology Co., Ltd., Changsha 410036, China
3. School of Geosciences and Info-physics, Central South University, Changsha 410083, China |
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Abstract Offset and source weight constitute critical factors influencing the data acquisition of transient Rayleigh surface waves. Hence, it is necessary to examine the characteristics of dispersion spectra derived from surface wave data acquired under different offsets and source weights. This study investigated the influence of the two critical factors on dispersion spectra through theoretical analysis and numerical simulation. Based on field experiments, this study delved into the characteristics of dispersion spectra from surface wave data collected at various excitation locations of seismic sources with different weights. To address the discrepancies in dispersion spectra caused by varying source locations during the data acquisition of transient surface waves, this study proposed a superposition and fusion method for multi-dispersion spectra, significantly enhancing the effectiveness of surface wave detection results.
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Received: 12 November 2024
Published: 07 August 2025
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Seismic wave record and frequency spectrum analysis of forward modeling in a two-layer medium model
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Seismic wave record and dispersion spectrum after adding noises
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Photographs of the test site and seismic sources
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Schematic diagram of a transient surface wave observing system with multiple offset distances
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Seismic record with different offsets (16-pound hammer)
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Dispersion spectrums with different offsets(16-pound hammer)
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A dispersion spectrum obtained by merging dispersion spectrum with different offsets
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Comparison of dispersion curves with different offsets
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Seismic wave record and dispersion spectrum obtained using hammer sources of different weights
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Seismic wavelet waveforms and frequency spectrums obtained using hammer sources of different weights
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