期刊论文

Zhang, L;Ling, TH

英文

Minerals

2075-163X

2022

12

2

234

10.3390/min12020234

Funding: This work was supported by the National Natural Science Foundation of China (Grant Nos. 51608183, 51678071 and 52078061), the Natural Science Foundation of Hunan Province in China (Grant Nos. 2018JJ3022 and 2021JJ50142), and the Outstanding Youth Project of Hunan Provincial Department of Education (Grant No. 21B0725). Acknowledgments: The authors give thanks for the financial support from the National Natural Science Foundation of China (Grant Nos. 51608183, 51678071 and 52078061), the Natural Science Foundation of Hunan Province in China (Grant Nos. 2018JJ3022 and 2021JJ50142), and the Outstand‐ ing Youth Project of Hunan Provincial Department of Education (Grant No. 21B0725). The authors also want to thank two anonymous reviewers for their comments and suggestions.

本校为第一且通讯机构

Advanced geological prediction of tunnels has become an indispensable task to ensure the safety and effectiveness of tunnel construction before excavation in karst areas. Geological dis-asters caused by unfavorable geological conditions, such as karst caves, faults, and broken zones ahead of a tunnel face, are highly sudden and destructive. Determining how to predict the spatial location and geometric size of unfavorable geological bodies accurately is a challenging problem. In order to facilitate a three‐dimensional quantitative analysis of t...