Seismic frequency detection method and its application in high-speed train induced seismic
发布时间：2024-01-08
元数据
名 称
Seismic frequency detection method and its application in high-speed train induced seismic
科技资源标识
CSTR:11738.14.NCDC.XDA14.PP5661.2024
数据共享方式
开放下载
摘 要
Running high-speed trains (HST) can cause vibration of rails. The induced seismic waves may provide repeated high energy sources for subsurface detection. It has been proposed to investigate the railway foundation, deep earth's interior structure, resource exploration, etc. Since HST is a moving source, the wavelet is a complex signal and has long duration. Conventional seismic imaging methods may couldn't handle the complex waveform. According to time-frequency analysis results, HST induce seismic data has relative stable frequency characteristics. Using resonance frequency may provide a solution to process HST seismic signals and image subsurface structure.
Seismic frequency detection method we proposed is a method based on the analysis of the resonance frequencies of the subsurface structures. We are assuming that a mechanical impact initiated at the subsurface, generates a transient compressional wave which is reflected at the defect interface, toward the free surface, then reflected back down to the defect interface, etc. The multiple reflection delay in the layers can produce resonance signals, which have their corresponding resonance frequency characteristics. Correct extraction of those resonant frequencies lead to direct estimation of layer thicknesses and indirect evaluation of the mechanical properties of materials. The approach has been developed to perform roads assessment, detect shallow buried utilities detection and underground mined-out areas. Due to the success application in these fields and the stable frequency of HST, the proposed approach may have the potential to be introduced to HST induced seismic imaging.
梁瑶,李学良,杨晓,石太昆,南方舟,邹安琪. Seismic frequency detection method and its application in high-speed train induced seismic. 国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn), 2024. https://cstr.cn/CSTR:11738.14.NCDC.XDA14.PP5661.2024.
本作品采用
知识共享署名
4.0 国际许可协议进行许可。
CSTR:11738.14.NCDC.XDA14.PP5661.2024