Abstract: In order to accurately identify the unfavorable geological structures in tunnels through advanced geological prediction, three typical unfavorable geological structures in tunnels, namely karst, fault fracture zone and soft interlayer, were summarized. According to the combination of media, they were classified into 2 types and 4 structural models of karst, 2 types and 4 structural models of fault fracture zone, and 1 type and 3 structural models of soft interlayer. The self-compiled python program was used for automatic modeling to establish three types of unfavorable geological structures, namely random multi-media coupling karst voids, fault fracture zones and weak interlayers. The python program automatically called GprMax to numerically simulate the radar characteristics of the three types of unfavorable geological bodies. The results showed that the electromagnetic waves generated by the geological radar would produce secondary pseudo-geological anomalies in water; in the model where water was mixed with other media, weak reflections would appear in the area without anomalies; the karst cave presented the characteristics of "quadratic curve type", the fracture zone presented the characteristics of "strip-shaped" and the soft interlayer presented the characteristics of "stratification fault type". Combined with the actual situation of several typical tunnels of a certain highway, the above-mentioned simulated image features were applied to actual engineering through the detection of the above-mentioned typical unfavorable geological bodies by geological radar, and the results were consistent.
苟晓军, 赵金泉, 季玮, 花晓鸣, 范占锋. 隧道不良地质构造雷达特征数值模拟研究[J]. 隧道与地下工程灾害防治, .
Gou Xiaojun, Zhao Jinquan, Ji Wei, Hua Xiaoming, fan zhanfeng. Numerical simulation of radar characteristics of adverse geological structures in tunnels. Hazard Control in Tunnelling and Underground Engineering, 0, (): 1-19.
