Extraction of Rayleigh, Love, and Virtual Refraction Waves From 3C High-Speed-Train-Induced Vibrations for Near-Surface Characterization
Extraction of Rayleigh, Love, and Virtual Refraction Waves From 3C High-Speed-Train-Induced Vibrations for Near-Surface Characterization
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DOI：
10.1109/tgrs.2023.3318989
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发表时间：
2023
影响因子：
8.2
通讯作者：
B. Mi;Jianghai Xia
中科院分区：
文献类型：
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作者：
B. Mi;Jianghai Xia
轨道交通已成为浅层地下成像和监测的强大震源。在高架桥上运行的高速列车通过桥墩产生地震波。列车运行时桥墩上的信号源在空间和时间上具有相关性。在这项研究中，我们通过将地震干涉测量应用于高速列车诱发的振动来提取瑞利、乐福和虚拟折射P波，以用于近表面表征。我们用互相关代替互相关来消除源自相关的虚假印记。定相分析表明，在铁路沿线使用带有移动列车源的线阵更容易恢复直达波和折射波。在实验中，我们部署了一个三分量(3C)“T”形节点阵列，其中一个线性阵列沿铁轨，另一个近似垂直于铁轨。以9个高速列车事件为例，采用定相分段选择的方法，提取了3-20赫兹范围内的强多分量瑞利波。在20-25赫兹和25-35赫兹范围内，我们分别用同轴线列阵和线外列阵对虚拟折射P波进行了清晰的反演。还观察到了3-20赫兹范围内的乐夫波。提取的瑞利波、乐夫波和虚拟折射波被用来估计深至100m的地下S波和P波的速度。这是首次从高速列车诱发的振动中重建3C表面波和体波并应用于近表面表征的研究。
Train traffic has been realized as a powerful seismic source for imaging and monitoring the shallow subsurface. High-speed trains running on viaducts generate seismic waves through bridge piers. The sources at bridge piers with a moving train are correlated in space and time. In this study, we extract Rayleigh, Love, and virtual refraction P-waves by applying seismic interferometry to high-speed-train-induced vibrations for near-surface characterization. We use cross coherence instead of cross correlation to eliminate the spurious imprint of source self-correlations. Stationary-phase analysis suggests that it is easier to retrieve direct and refracted waves using a linear array along the railway with a moving train source. In the experiment, we deployed a three-component (3C) “T” shape nodal array consisting of one linear array along the railway and the other one approximately perpendicular to the railway. With totally nine high-speed train events and by using stationary-phase segment selection, we extract strong multicomponent Rayleigh waves in the range of 3–20 Hz. We clearly retrieve the virtual refraction P-waves in range of 20–25 Hz using the in-line linear array and 25–35 Hz using the out-of-line array. Love waves in the range of 3–20 Hz are also observed. The extracted Rayleigh, Love, and virtual refraction waves are used to estimate S- and P-wave velocities of subsurface down to a depth of about 100 m. This study is the first 3C surface and body wave reconstruction and application for near-surface characterization from high-speed-train-induced vibrations.