Automatic prediction of time to failure of open pit mine slopes based on radar monitoring and inverse velocity method

• Published in: International journal of mining science and technology Vol. 24; no. 2; pp. 275 - 280
• Main Authors: Osasan, K.S., Stacey, T.R.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2014; School of Mining Engineering, Faculty of Engineering and Built Environment, University of the Witwatersrand, Johannesburg, Wits 2050, South Africa
• Subjects: Displacement; Failure; Inverse; Mathematical models; Mines; Monitoring; Radar; Rate of displacement; Slope failure; Slope monitoring; Slope monitoring radar; Slopes; Time to failure; 探地雷达; 时间预测; 自动预测; 边坡失稳; 边坡监测; 速度; 露天矿边坡; 预测模型; Rate of displacement; Time to failure; Slope failure; Slope monitoring radar; Displacement; Slope monitoring
• ISSN: 2095-2686
• DOI: 10.1016/j.ijmst.2014.01.021

Radar slope monitoring is now widely used across the world, for example, the slope stability radar （SSR） and the movement and surveying radar （MSR） are currently in use in many mines around the world. However, to fully realize the effectiveness of this radar in notifying mine personnel of an impending slope failure, a method that can confidently predict the time of failure is necessary. The model developed in this study is based on the inverse velocity method pioneered by Fukuzono in 1985. The model named the slope failure prediction model （SFPM） was validated with the displacement data from two slope failures monitored with the MSR. The model was found to be very effective in predicting the time to failure while providing adequate evacuation time once the progressive displacement stage is reached.