Unknown

Dataset Information

Risk classification assessment and early warning of large deformation of soft rock in tunnels based on CNN-LSTM model.


ABSTRACT: Tunnels in the Western Plateau region of China often face numerous problems of high ground stress, as well as highly fractured and weak rock masses in deep sections of the tunnel, which results in an increased risk of large soft rock deformation in tunnels, posing substantial challenges to safe and efficient construction. Hence, risk assessment and establishment of an early safety warning system are essential. By examining factors affecting the large soft rock deformation in tunnels, a set of index system consisting of three primary indicators (i.e., hydrogeological conditions, design factors, and construction factors) and eight secondary indicators (i.e., strength-to-stress ratio, rock mass index, groundwater influence, groundwater influence, etc.) for assessing these risks is constructed

SUBMITTER: Zhang X 

PROVIDER: S-EPMC11612225 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature