Research on echo signal processing of ground penetrating radar in TBM tunneling tunnel

Abstract

Abstract This study uses the water diversion tunnel and the subsea tunnel as an example to accurately predict the distribution of water-rich geology in front of the tunnel face of the tunnel boring machine (TBM) and the water inrush behind the lining segment. It demonstrates the benefits of the ground penetrating radar method in advanced water detection prediction by integrating and replicating the current data processing algorithms. In this paper, various existing signal processing algorithms are tried to process the radar signal as a whole in order to address the issues of clutter interference, low signal-to-noise ratio, scattering and diffraction interference in the echo signal of ground penetrating radar. The ground penetrating radar signal is processed by algorithm in conjunction with an engineering example, and the prediction of water inrush in water diversion and subsea tunnel is carefully examined and assessed. The findings demonstrate that the comprehensive signal processing method can fully exploit the benefits of various signal processing techniques, more precisely pinpoint the location of fissure water, and successfully eliminate echo signal interference. In the process of water diversion and subsea tunnel construction, it has significant theoretical support and practical significance for predicting the water-rich geology in front of TBM and the distribution of fissure water behind the lining segment.