Slope Monitoring and Failure Prediction Techniques in Mines: A Review
Authors
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Department of Mining Engineering, Indian Institute of Technology (BHU), Varanasi – 221005, Uttar Pradesh, ,IN
Mohd. Maneeb Masood -
Department of Mining Engineering, Indian Institute of Technology (BHU), Varanasi – 221005, Uttar Pradesh, ,INGunda Yuga Raju
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Department of Mining Engineering, Indian Institute of Technology (BHU), Varanasi – 221005, Uttar Pradesh, ,INTarun Verma
DOI:
https://doi.org/10.18311/jmmf/2022/33047Abstract
<i>The collapse of a mining slope can be predicted. Time is crucial, and forecasting slope failures has long been a major risk management concern for mining firms across the world. Forecasting the time of mine slopes collapse is a challenging but necessary job to control its impact on life and property. A good forecast of slope failure events allows mine management to analyse the situation and then implement an action response plan to minimise the effects of the failure on lives, machinery, and production. Predicting a slope failure starts with slope monitoring. Lately, numerous techniques based on monitoring and analysing displacement data have been used to anticipate the failure of mining slopes. Recent developments have opened new prospects for applying mine slope monitoring and failure prediction techniques. The main objective of this review article is to discuss and classify the slope monitoring and failure prediction techniques. This article has the potential to support mine management in understanding and applying these techniques better.</i>
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