Gao, X.-C.; Ba, X.-Z.; Cui, E.-Y.; Wang, J.; Zhang, T.-T.; Sun, S.-Q., and Hou, W., 2019. Development status of digital detection technology for unfavorable geological structure of submarine tunnel. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 306–310. Coconut Creek (Florida), ISSN 0749-0208.
The detection of unfavorable geological structures in tunnels is a major theoretical and technical problem in the tunnel construction process. There are many kinds of geological disaster sources for submarine tunnels, and there is currently no effective technology and method to detect them. This paper summarizes the, status of research on disaster source prevention and control based on the advanced geological prediction for submarine tunnels and laser-point cloud imaging technology from two aspects - the exposed structural plane and the internal rock mass structure. In the investigation on submarine tunnel structural planes, digital compass contact measurement, close-range photogrammetry and laser scanning have become important means to support the development of geological surveys on submarine tunnel structural planes, and a three-dimensional rock mass structure information integration analysis method has also been initially formed based on structural plane network simulation. In the detection and control of submarine tunnel structures, an effective submarine tunnel disaster source detection and control system has been formed. Combined with the research work of the team, this paper systematically expounds the development status of the digital detection technology for unfavorable geological structures in the existing tunnels, and the research results can provide some references for the research in this field.