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      • KCI등재

        Development Status of Digital Detection Technology for Unfavorable Geological Structures in Deep Tunnels

        Xingzhi Ba,Li-Ping Li,Shangqu Sun,Hong-liang Liu,Jing Wang,Zhongdong Fang 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.4

        The geological conditions of long tunnels are complex and changeable. Potential structural planes or unfavorable geological structures are random and unpredictable. Sudden geological disasters can easily cause delays in construction periods, economic losses, and even serious casualties. Tunnel monitoring measurement and advanced geological forecast research have always been two major guarantees for safe tunnel construction. However, the current research lacks a clear explanation of the classification of rock mass structural surfaces and the hazard-causing mechanism. Many recent instabilities of surrounding rock structures and The block loss accident has made it a hot issue for research. First, combining the past work of the team, the structural surfaces in the rock mass are mainly divided into two types: exposed and hidden structural surfaces, and different detection methods are summarized for their different occurrencestates. Among them, digital compass contact measurement, near Range photogrammetry and laser scanning have become the three major means to support the development of the geological survey of the tunnel structural surface. Secondly, it systematically summarizes the comprehensive detection methods of bad geological structures in the rock mass structure, and introduces the specific application of geophysical technology in tunnel engineering. Finally, the development trends of the above two rock mass structure detection technologies are discussed. Based on the two parts of rock mass structural surface and unfavorable geological structure, it systematically expounds the development status of the existing typical disaster-causing structure detection technology, which can provide important references for researchers in this field, especially field engineers.

      • KCI등재

        Analysis and Prediction of Structural Plane Connectivity in Tunnel based on Digitalizing Image

        Shang-qu Sun,Li-Ping Li,Jing Wang,Hong-liang Liu,Zhongdong Fang,Xingzhi Ba 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.6

        The identification of structural plane connectivity is an application problem in rock mass engineering. Theoretically, information of exposed rock mass and its internal borehole is of great significance to predict network of unexcavated rock structural plane, especially in tunnel engineering. In this paper, parameters of structural planes have been obtained through borehole imaging in advance drilling borehole of tunnel face. Furthermore, a geometric discrimination method for the multiple structural plane based on the included angle has been proposed. And then, spatial distribution of the large scale structural plane in the unexcavated rock mass has been recognized by effective assistant techniques. To verify this method, the binocular photogrammetry method has been adopted to investigate the parameters of structural planes during excavation, and then the structural plane model of tunnel face has been constructed. The tunnel face mapping has been compared with that of section of the predicted model. The results showed that included angle identification method based on three boreholes is highly reliable and can be used to accurately construct the deterministic structural plane network in front of the tunnel face.

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