Prediction of Failure-Time for Soft Rock Tunnels based on Monitored Convergences. Issue 4 (May 2019)

• Record Type: Journal Article
• Authors: Feng, Xianda; Jimenez, Rafael
• Is Part Of: IOP conference series. Volume 267:Issue 4(2019)
• Publication Date: 2019-05
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/267/4/042120
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: 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.