Affiliation:
1. Key Laboratory of Geo-exploration and Instrumentation of Ministry of Education, Jilin University, Changchun 130026, China
2. College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130026, China
Abstract
Abstract
Performing exact predictions of geological conditions for tunnel construction is important for ensuring safe and quick tunnel engineering. Weak effective signals and strong random noise are the main factors that affect the distance and precision of tunnel seismic detection. Considering that directional seismic wave (DSW) technology has the ability to enhance target signals and suppress random noise, we attempt to apply this method to solve the problems of low detection accuracy and short detection distance. However, the process of data processing with the DSW technique generates false multiple wave interference (FMWI), which can lead to the misinterpretation of geological structures. This study analyses the origins of FMWI and presents the random dislocation directional seismic wave (RDDSW) method to suppress this interference. The results of a numerical simulation indicate that the FMWI is effectively suppressed and that the signal-to-noise ratio of the data is increased by approximately N times through use of the N-element RDDSW technique. In the ideal case, only spherical diffusion attenuation is considered, and the detection distance increases by approximately $\scriptstyle\sqrt N $ times. In addition, this method is also effective for signals from curved events, thereby improving the precision of the analysis of the geological structure of the tunnel. Furthermore, the field data results further verify that the RDDSW technique can significantly suppress interference and thus improve the quality of the data at little cost. Hence, the RDDSW technique has great significance for accurately predicting the geological structures of tunnels and increasing the detection distance in tunnels.
Funder
National Natural Science Foundation of China
High-tech R&D Program of China
Doctoral Program of Higher Education of China
Deep Exploration in China Program
Publisher
Oxford University Press (OUP)
Subject
Management, Monitoring, Policy and Law,Industrial and Manufacturing Engineering,Geology,Geophysics
Cited by
4 articles.
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