Shichuan Yuan

ORCID: 0000-0003-0905-4235
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Research Areas
  • Seismic Waves and Analysis
  • Seismic Imaging and Inversion Techniques
  • Ultrasonics and Acoustic Wave Propagation
  • Geophysics and Sensor Technology
  • Seismology and Earthquake Studies
  • Geotechnical Engineering and Underground Structures
  • Geophysical and Geoelectrical Methods
  • earthquake and tectonic studies
  • High-pressure geophysics and materials
  • Thermoelastic and Magnetoelastic Phenomena
  • Ultrasound Imaging and Elastography
  • Underwater Acoustics Research
  • Flow Measurement and Analysis
  • Earthquake Detection and Analysis

Southern University of Science and Technology
2018-2025

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2022

Harbin Institute of Technology
2021

China University of Geosciences
2017-2018

Surface waves carry valuable information about subsurface structures, but they are often considered noise in shallow seismic reflection surveys. One reason for limiting the application of surface these surveys is deployment high-frequency geophones, which can attenuate wave signals. However, surveys, multiple shot gathers sample same region, providing opportunities to enhance using appropriate techniques. In this study, we apply a moving spatial window method select records from data and...

10.1190/geo2024-0765.1 article EN Geophysics 2025-04-01

Abstract The array‐based frequency‐Bessel transform method has been demonstrated to effectively extract dispersion curves of higher‐mode surface waves from the empirical Green's functions (EGFs) displacement fields reconstructed by ambient noise interferometry. Distributed acoustic sensing (DAS), a novel dense array observation technique, widely implemented in wave imaging estimate subsurface velocity structure practice. However, there is still no clear understanding theory about how...

10.1029/2024jb028751 article EN Journal of Geophysical Research Solid Earth 2024-07-31

ABSTRACT This article presents an efficient and effective modified generalized reflection transmission (R/T) (mGRT) coefficient method for dispersion-curve calculation of the Rayleigh Love waves. We construct a novel dispersion function based on kernel calculating synthetic seismograms in elastic layered half-space model. It improves root searching using monotonicity sections between roots. introduce auxiliary to accelerate root-searching procedure by approximating number roots equation. To...

10.1785/0120210294 article EN Bulletin of the Seismological Society of America 2022-08-01

Abstract Effective extraction of higher mode dispersion information has been a research hotspot in the study surface waves. In this study, we introduce novel approach refining Rayleigh wave modes by using seismoelectric signals, namely, electromagnetic (EM) signals originating from conversion. Adopting weight‐drop source, simulate seismic and EM for several porous models. An extended version frequency‐Bessel transform method is introduced to extract signals. Results suggest that evanescent...

10.1029/2020jb021336 article EN Journal of Geophysical Research Solid Earth 2021-04-02

ABSTRACT In this study, the characteristics of Love waves in viscoelastic vertical transversely isotropic layered media are investigated by finite-difference numerical modeling. The accuracy modeling scheme is tested against theoretical seismograms isotropic-elastic and isotropic-viscoelastic media. correctness results verified phase-velocity dispersion curves or anisotropic elastic two-layer half-space models, effects velocity anisotropy, viscoelasticity, attenuation anisotropy on studied...

10.1785/0120200372 article EN Bulletin of the Seismological Society of America 2021-09-07

ABSTRACT Efficient and accurate calculation for the dispersion attenuation of surface waves in viscoelastic media is numerically challenging because eigen wavenumbers are located complex domain. In this study, we propose a semianalytical spectral-element method (SASEM), which can determine by solving linear eigenvalue problems. By simplifying structure problem, significantly improve efficiency. The implementation frequency-dependent automatic discretization, semi-infinite element, mode...

10.1785/0120230306 article EN Bulletin of the Seismological Society of America 2024-04-10

S-wave velocity is commonly used to understand the characteristics of subsurface, which can be retrieved by inverting phase or group in Rayleigh wave surveys. Now, many studies have shown advantage analyzing over obtain velocity. However, previous methods often suffer from poor resolution estimating To improve and reduce uncertainty extracting dispersion curves, we develop a new method for estimation group-velocity spectrum based on slant stack an adaptive generalized S-transform (APST) with...

10.1190/geo2023-0458.1 article EN Geophysics 2024-01-26

SUMMARY In this study, we propose a systematic and effective method, that is, an extended version of the generalized reflection/transmission (R/T) coefficient for computing phase-velocity (${c}_r$) dispersion curves, attenuation ($\alpha $) eigenfunctions both Rayleigh Love waves as well ellipticity in layered viscoelastic-vertical transversely isotropic (VTI) media. The numerical scheme combining root-searching method with local optimization is designed determining complex-valued modal...

10.1093/gji/ggae207 article EN cc-by Geophysical Journal International 2024-06-12

Abstract Ambient noise tomography has been widely used to estimate the shear-wave velocity structure of Earth. A key step in this method is pick dispersions from dispersion spectrograms. Using frequency–Bessel (F-J) transform, generated spectrograms can provide more information by including higher modes addition fundamental mode. With increasing availability these spectrograms, manually picking curves highly time and energy consuming. Consequently, neural networks have for automatically...

10.1785/0220230103 article EN Seismological Research Letters 2023-10-17

摘要: 反演瑞雷波频散曲线能有效地获取横波速度和地层厚度,传统的多模式瑞雷波频散曲线反演需要正确的模式判别.然而,当地层中含有低速软弱夹层或高速硬夹层等复杂结构时,瑞雷波可能会出现"模式接吻"和"模式跳跃"等现象,这些现象极易造成模式误判,进而导致错误的反演结果;同时,传统的频散曲线反演方法需要进行求根运算,进而导致现有的瑞雷波非线性反演速度慢,运算时间长.鉴于此,对传统的Haskell-Thomson频散曲线正演模拟算法进行了改进,提出了一种新颖有效的目标函数.该目标函数直接利用实测频散曲线与迭代更新模型频散函数表面形状进行最佳拟合,无需将多模式频散数据归于特定的模式,可有效避免多模式瑞雷波频散曲线反演模式误识别;同时,该目标函数不需要求根运算,进而大大加快了非线性反演速度.基于粒子群优化算法,利用实际工作中经常遇到的3种典型理论地质模型和某一高速公路路基实测资料进行了理论模型试算和实例分析,检验了本文提出的瑞雷波多模式频散曲线反演新方法的有效性和实用性. 关键词: 瑞雷波 / 多模式频散曲线 模式接吻 模式跳跃 模式误判 粒子群优化算法 地球物理

10.3799/dqkx.2017.531 article KO Earth Science-Journal of China University of Geosciences 2017-01-01
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