中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Picking P-wave arrival times from microseismic signals in tunnels with low signal-to-noise ratios without noise filtering

文献类型:期刊论文

作者Xiao, Yaxun3; Chen, Shujie2,3; Feng, Guangliang3; Liu, Liu3; Li, Shaojun3; Zhou, Junbo1; Yan, Tingzhou1; Guo, Jianing2,3
刊名SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
出版日期2025-05-01
卷号192页码:14
关键词Microseismic monitoring Tunnel P-wave arrival time Noise Instantaneous phase difference
ISSN号0267-7261
DOI10.1016/j.soildyn.2025.109288
英文摘要Microseismic (MS) signals detected in tunnels feature low signal-to-noise ratios (SNRs) due to the complexity of the construction environment. As a result, MS events of low energy are hidden in the background noise so that separating such events from the noise using filtering is impractical. In this work, a new method is proposed to identify the arrival times of P-waves in such circumstances that does not require noise filtering. We call it the instantaneous phase difference intensity of P-waves (IPDI_P) method. The key requirement of the method (which is naturally met when monitoring MS signals in tunnels) is that the source wave travelling path difference between the target and auxiliary signals is not larger than the wavelength of the P-wave. IPDI_P functions are constructed that correspond to specific characteristics between the target and auxiliary signals. We take the first peak equal to, or close to, the maximum value of the IPDI_P curve to correspond to the P-wave arrival time of the target signal. The amplitude distributions of the two main noises in a tunnel (electrical noise and mechanical vibration) are first analyzed in the time- and frequency-domains and then accurately simulated. Then, numerical simulations and a case study are made. The results indicate that the IPDI_P method is reliable in tunnels without noise filtering and its performance is better than that of more traditional methods (STA/LTA and AIC), especially for MS signals with SNRs that are less than 30 dB (so the P-wave's SNR is less than 16-24 dB). The error in the Pwave arrival time caused by mechanical noise (vibration) is larger than that caused by electrical noise. The principles underlying auxiliary signal selection are also discussed. Our study is an important step towards the development of a fully-automatic MS-based rockburst detection system for use in deep tunnels.
资助项目National Natural Science Foundation of China[42172317] ; National Natural Science Foundation of China[42207211]
WOS研究方向Engineering ; Geology
语种英语
WOS记录号WOS:001426784100001
出版者ELSEVIER SCI LTD
源URL[http://119.78.100.198/handle/2S6PX9GI/37151]  
专题中科院武汉岩土力学所
通讯作者Feng, Guangliang; Liu, Liu
作者单位1.Hubei Commun Planning & Design Inst Co Ltd, Wuhan 430051, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China
推荐引用方式
GB/T 7714
Xiao, Yaxun,Chen, Shujie,Feng, Guangliang,et al. Picking P-wave arrival times from microseismic signals in tunnels with low signal-to-noise ratios without noise filtering[J]. SOIL DYNAMICS AND EARTHQUAKE ENGINEERING,2025,192:14.
APA Xiao, Yaxun.,Chen, Shujie.,Feng, Guangliang.,Liu, Liu.,Li, Shaojun.,...&Guo, Jianing.(2025).Picking P-wave arrival times from microseismic signals in tunnels with low signal-to-noise ratios without noise filtering.SOIL DYNAMICS AND EARTHQUAKE ENGINEERING,192,14.
MLA Xiao, Yaxun,et al."Picking P-wave arrival times from microseismic signals in tunnels with low signal-to-noise ratios without noise filtering".SOIL DYNAMICS AND EARTHQUAKE ENGINEERING 192(2025):14.

入库方式: OAI收割

来源:武汉岩土力学研究所

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