Abstract
The fissure is one of the most important and active master control factors inducing geohazards such as water outburst and mud gushing. The precise and immediate forecasting fissure is a key problem to be studied and resolved currently in tunnel design and construction. Complex signal analysis is introduced to the prediction of water with the ground penetrating radar (GPR) to analyze the water response in the radar data from instantaneous amplitude, instantaneous phase and instantaneous frequency, therefore the accuracy of fissure prediction is improved. However, a large number of effective information in the instantaneous frequency will be covered by noise, thus affecting the accuracy of the prediction. To solve the problem, this paper proposes a method to improve the accuracy of fissure prediction by combining wavelet transform and complex signal analysis. In this method, wavelet transform can effectively suppress the noise, when there is no large loss of signal instantaneous frequency. At last, the engineering example demonstrates the validity of the proposed approach.
Highlights
The unfavorable geological development of karst areas in China is very extensive, especially in Southwest China
The Complex Signal Analysis Technology: collect multiple arguments’ profiles, starting from the three aspects of instantaneous amplitude, instantaneous phase and instantaneous frequency of reflected wave to study the abnormal information of radar signals, so we can make effective predictions of fissure
This paper proposes a method to improve the accuracy of fissure prediction by combining wavelet transform and complex signal analysis
Summary
The unfavorable geological development of karst areas in China is very extensive, especially in Southwest China. This paper proposes a method to improve the accuracy of fissure prediction by combining wavelet transform and complex signal analysis. In this method, wavelet transform can effectively suppress the noise, when there is no large loss of signal instantaneous frequency. The structure of this paper is arranged as follows, in the second section, the principle of complex signal analysis technique to predict karst fissure water is derived; in the third section, the wavelet transform is analyzed; the fourth section verifies the effectiveness of the proposed method; the conclusion is given in the fifth section
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
