Detection of karst caves during tunnel construction using ground‐penetrating radar and advanced drilling: A case study in Guangxi Province, China

Abstract

In karst topography, hidden caves or underground rivers may imperil the safety of tunnels. It is critical to accurately detect the location and geometric shape of hidden karst caves for assessing the safety of tunnels. This paper reports a case where a large karst cave was exposed during the construction of the Nongmo tunnel in Duan County, Guangxi, China. A 2D ground-penetrating radar survey was employed to preliminarily detect the distribution of hidden karst caves along the tunnel axis. Advanced drilling was used to obtain the velocity of electromagnetic waves and verify the 2D ground-penetrating radar detection. Ground-penetrating radar 3D grid detection was carried out for further detecting the geometric shape of the hidden karst caves. Rotary thrust power ratio, which is a function of drilling speed, rotating speed, propulsion pressure and torque, was proposed to reflect the integrity of the surrounding rocks. It was found that the depth of the peak value in the rotary thrust power ratio curve is consistent with that of the amplitude jump in ground-penetrating radar A-scans and in time-frequency distributions. The results of 3D attributes analysis indicate that due to the variation of highlights in different ground-penetrating radar signal attributes, the obtained karst cave shapes using different attributes would be various. A multi-attributes fusion method was proposed to generate a data volume considering various attributes. The 2D geometric shapes at different depths were obtained using the anomalous body lineament in the generated date volume slices. The 3D geometric shapes were reproduced by combining the obtained 2D geometric shapes at various depths. Based on different detection and analysis methods, the outline shape of karst caves at YK364 + 199 ∼ YK364 + 184 of the Nongmo tunnel was revealed in detail.

Research on remote reference denoising method based on non-coaxial and non-coplanar tunnel NMR detection

“…The findings from this relevant research hold significant practical value for measuring and evaluating distinctive geological features such as voids. In order to ascertain the presence of extensive cave information, Lan et al [8] employed two-dimensional groundpenetrating radar to detect the spatial distribution of concealed caves along the tunnel axis in Guangxi Autonomous Region, China. In order to enhance the detection accuracy of unidentified water bodies in tunnels, a combined approach utilizing multiple geophysical exploration techniques is employed for advanced geological prediction in tunnel engineering.…”