Prediction of Failure-Time for Soft Rock Tunnels based on Monitored Convergences

2019 3rd International Workshop on Renewable Energy and Development

能源学;生态环境科学

Feng, Xianda^1 ; Jimenez, Rafael^2

School of Civil Engineering and Architecture, University of Jinan, Shandong Province, Jinan

250022, China^1

ETSI Caminos, C. y P., Technical University of Madrid, Madrid

28040, Spain^2

关键词: Disaster prevention and mitigations;    Failure time;    Inverse velocities;    Prediction of failures;    Rock slope;    Soft rock tunnel;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/267/4/042120/pdf
DOI  :  10.1088/1755-1315/267/4/042120

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Predicting the failure-time for soft rock tunnels is an issue of great significance for disaster prevention and mitigation. The inverse-velocity (INV) method, which uses the rates of displacement to predict the failure-time, is often applied to predicting the failure-time of rock slopes. And the slope (SLO) method, which predicts the failure-time based on the slope (gradient), is another method for the same purpose. In this study, the validity of these two methods to predict failure-time of tunnels was evaluated by applying them to predicting the failure-time of the Ayas tunnel. The results show that the failure-time predicted by the INV method is closer to the actual failure-time compared with that predicted by the SLO method.