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Yuga Raju, Gunda
- Developing a Model for the Identification of Onset of Failure of Slopes in Surface Mines
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Authors
Affiliations
1 Department of Mining Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh 221005, India, IN
2 Department of Mining Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh 221005, India., IN
3 Department of Mining Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh 221005, India ., IN
1 Department of Mining Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh 221005, India, IN
2 Department of Mining Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh 221005, India., IN
3 Department of Mining Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh 221005, India ., IN
Source
Journal of Mines, Metals and Fuels, Vol 71, No 3 (2023), Pagination: 327 - 332Abstract
Slope failures in mines pose a serious concern, resulting in fatalities and significant damage to infrastructure and equipment. Despite their complexities, the majority of these slope behaviours are predictable. Mining firms worldwide have long worked on preventing mine slope failures because of the potential for human and material casualties. As a result, various investigations and studies have been done to understand these phenomena and their progression better. In this research, an automated technique is developed to track displacement data and identify the onset of slope failure, which is also the onset of acceleration. A five-step process is employed for a specific dataset. When the analysis produces a positive result for a particular set of slope monitoring data, the slope is accelerating. It helps us to determine the beginning of the slope’s acceleration. The generated output may be used as an early warning system that forecasts slope failures to avert potentially catastrophic slope occurrences, boosting overall mining performance and safety standards.Keywords
Mine slope, slope monitoring; slope stability radar; onset-of-failure; early warning; prediction.
References
- Intrieri E, Carlà T, Gigli G. (2019): Forecasting the time of failure of landslides at slope-scale: A literature review. Earth-Science Reviews [Internet]. 193:333–49.Available from: https://www.sciencedirect.com/ science/article/pii/S001282521830518X
- Saito M. (1969): Forecasting time of slope failure by tertiary creep. In: Proc 7th Int Conf on Soil Mechanics and Foundation Engineering, Mexico City. Citeseer; p.677–83.
- Barry V. (1989): A Relation to Describe RateDependent Material Failure. Science [Internet]. Jan 13; 243(4888):200-3. Available from: https://doi.org/ 10.1126/science.243.4888.200
- Crosta GB, Agliardi F. (2003): Failure forecast for large rock slides by surface displacement measurements. Canadian Geotechnical Journal [Internet]. Feb 1;40(1):176–91. Available from: https://doi.org/10.1139/ t02-085
- Xue L, Qin S, Li P, Li G, AdewuyiOyediran I, Pan X. (2014): New quantitative displacement criteria for slope deformation process: From the onset of the accelerating creep to brittle rupture and final failure. Engineering Geology [Internet]. 182:79–87. Available from: https://www.sciencedirect.com/science/article/ pii/S0013795214002063
- Fukuzono T. (1985): A new Method for Predicting the Failure Time of a Slope. In: Proceedings of the Fourth International Conference and Field Workshop on Landslides (Tokyo; 1985) [Internet]. p. pp.-145–150.Available from: https://arizona.csod.com/ux/ats/ careersite/4/home/requisition/10392?c=arizona
- Rose ND, Hungr O. (2007): Forecasting potential rock slope failure in open pit mines using the inversevelocity method. International Journal of Rock Mechanics and Mining Sciences [Internet]. 44(2):308– 20. Available from: https://www.sciencedirect.com/ science/article/pii/S1365160906001213
- Petley DN. (2004): The evolution of slope failures: mechanisms of rupture propagation. Natural hazards and earth system sciences. 4(1):147–52.
- Dick GJ, Eberhardt E, Cabrejo-Liévano AG, Stead D, Rose ND. Development of an early-warning time-offailure analysis methodology for open-pit mine slopes utilizing ground-based slope stability radar monitoring data. Canadian Geotechnical Journal [Internet]. 2014 Sep 11;52(4):515–29. Available from: https://doi.org/ 10.1139/cgj-2014-0028
- Voight B, Kennedy BA. (1979): Chapter 17 - Slope Failure of 1967–1969, Chuquicamata Mine, Chile. In: VOIGHT B, editor. Developments in Geotechnical Engineering [Internet]. Elsevier; p. 595–632. Available from: https://www.sciencedirect.com/science/article/ pii/B9780444415080500259
- Carlà T, Intrieri E, di Traglia F, Nolesini T, Gigli G, Casagli N. (2017): Guidelines on the use of inverse velocity method as a tool for setting alarm thresholds and forecasting landslides and structure collapses.
- Landslides [Internet]; 14(2):517–34. Available from: https://doi.org/10.1007/s10346-016-0731-5
- Carlà T, Farina P, Intrieri E, Botsialas K, Casagli N. (2017): On the monitoring and early-warning of brittle slope failures in hard rock masses: Examples from an open-pit mine. Engineering Geology [Internet];
- :71–81. Available from: https:// www.sciencedirect.com/science/article/pii/ S0013795217305690
- Moretto S, Bozzano F, Esposito C, Mazzant P, Rocca A. (2017): Assessment of Landslide Pre-Failure
- Monitoring and Forecasting Using Satellite SAR Interferometry [Internet]. Geosciences. Available from:
- https://www.mdpi.com/2076-3263/7/2/36
- Glastonbury J. (2002): Report on the analysis of thedeformation behaviour of excavated rock slopes/by J. Glastonbury and R. Fell. Fell R, Engineering U of NSWalesS of C, editors. Sydney: University of New
- South Wales, School of Civil Engineering; (UNICIV Report/; no. R-403).
- Slope Monitoring and Failure Prediction Techniques in Mines: A Review
Abstract Views :73 |
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Authors
Affiliations
1 Department of Mining Engineering, Indian Institute of Technology (BHU), Varanasi – 221005, Uttar Pradesh, India;, IN
1 Department of Mining Engineering, Indian Institute of Technology (BHU), Varanasi – 221005, Uttar Pradesh, India;, IN
Source
Journal of Mines, Metals and Fuels, Vol 70, No 8 (2022), Pagination: 416 - 424Abstract
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.Keywords
Creep Theory, Failure Prediction Techniques, Mine Slope Monitoring, Slope FailureReferences
- Dash A. K. (2019) Analysis of accidents due to slope failure in Indian opencast coal mines. Current Science, 117, 304308. https://doi.org/10.18520/cs/v117/i2/304-308 https:// doi.org/10.18520/cs/v117/i2/304-308
- Carlà T., Intrieri E., Farina P., & Casagli N. (2017). A new method to identify impending failure in rock slopes. International Journal of Rock Mechanics and Mining Sciences, 93:76–81. https://doi.org/10.1016/j.ijrmms.2017.01.015
- Dick G. J., Eberhardt E., Cabrejo-Liévano A. G., et al. (2015) Development of an early-warning time-of-failure analysis methodology for open-pit mine slopes utilizing groundbased slope stability radar monitoring data. Canadian Geotechnical Journal, 52, 515–529. https://doi.org/10.1139/ cgj-2014-0028
- Newcomen W., & Dick G. (2016). An update to the strain-based approach to pit wall failure prediction, and a justification for slope monitoring. Journal of the Southern African Institute of Mining and Metallurgy, 116, 379–385. https://doi.org/10.17159/2411-9717/2016/v116n5a3
- Intrieri E., Carlà T., & Gigli G. (2019). Forecasting the time of failure of landslides at slope-scale: A literature review. Earth-Science Reviews, 193:333–349 https://doi.org/10.1016/j.earscirev.2019.03.019
- Upasna C. K., & Moe M. (2018) New approaches to monitoring, analyzing and predicting slope instabilities. Journal of Geology and Mining Research, 10, 1–14. https:// doi.org/10.5897/JGMR2017.0272
- Cahyo F. A., Farizka A., Amiruddin A., Musa R. H. Practical method of predicting Slope Failure Based on Velocity Value (SLO Method) from slope stability radar.
- Scaioni M (2014) Springer Natural Hazards Modern Technologies for Landslide Monitoring and Prediction. https://doi.org/10.1007/978-3-662-45931-7
- Dick G. J. (2013). Development of an early warning timeof-failure analysis methodology for open pit mine slopes utilizing the spatial distribution of ground-based radar monitoring data
- Osasan K. S. (2012). Open-cast mine slope deformation and failure mechanisms interpreted from slope radar monitoring.
- Mercer K. G. (2006). Investigation into the time dependent deformation behaviour and failure mechanisms of unsupported rock slopes based on the interpretation of observed deformation behaviour. University of the Witwatersrand
- Zavodni Z. M., & Broadbent C. D. (1980). Slope Failure Kinematics.
- Mufundirwa A., Fujii Y., & Kodama J. (2010). A new practical method for prediction of geomechanical failuretime. International Journal of Rock Mechanics and Mining Sciences, 47, 1079–1090. https://doi.org/10.1016/j. ijrmms.2010.07.001
- Broadbent C. D., & Zavodni Z. M. (1982). Influence of rock structure on stability. Stability in Surface Mining. Society of Mining Engineers, 3, 30–35
- Bairagi V., & Munot M. V. (2019). Research methodology: A practical and scientific approach. CRC Press. https://doi. org/10.1201/9781351013277
- Fukuzono T. (1985). A method to predict the time of slope failure caused by rainfall using the inverse number of velocity of surface displacement. Landslides, 22, 8–13_1. https://doi.org/10.3313/jls1964.22.2_8
- Rose N. D., & Hungr O. (2007). Forecasting potential rock slope failure in open pit mines using the inversevelocity method-case examples. In: 1st Canada-US Rock Mechanics Symposium. OnePetro. https://doi.org/10.1201/ NOE0415444019-c156. PMid:17878871
- Okubo S., Fukui K., & Nishimatsu Y. (1997). Local safety factor applicable to wide range of failure criteria. Rock Mechanics and Rock Engineering, 30, 223–227. https://doi. org/10.1007/BF01045718
- Venter J., Kuzmanovic A., & Wessels S. D. N. (2013) An evaluation of the CUSUM and inverse velocity methods of failure prediction based on two open pit instabilities in the Pilbara. In: Proceedings of the 2013 International Symposium on Slope Stability in Open Pit Mining and Civil Engineering. Australian Centre for Geomechanics, p. 1061–1076 https://doi.org/10.36487/ACG_rep/1308_74_Venter
- Cabrejo A., & Harries N. (2012). Effective slope monitoring for open cut coal mines.
- Harries N., Noon D., & Rowley K. (2006). Case studies of slope stability radar used in open cut mines. Stability of Rock Slopes in Open Pit Mining and Civil Engineering Situations, 335–342
- Cahill J. & Lee M. (2006). Ground control at Leinster nickel operations. Journal of the Southern African Institute of Mining and Metallurgy, 106, 471–478
- Little M. J. (2006). Slope monitoring strategy at PPRust open pit operation. In: Proceedings of the international symposium on stability of rock slopes in open pit mining and civil engineering. Southern African Institute of Mining and Metallurgy Johannesburg, 211–230
- Day A. P., Seery J. M. (2007). Monitoring of a large wall failure at tom price iron ore mine. In: Slope Stability 2007: Proceedings of the 2007 International Symposium on Rock Slope Stability in Open Pit Mining and Civil Engineering. Australian Centre for Geomechanics, p. 333-340. https:// doi.org/10.36487/ACG_repo/708_20
- Reeves B. A., Stickley G. F., Noon D. A., Longstaff I. D.(2000). Developments in monitoring mine slope stability using radar interferometry. In: IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No. 00CH37120). IEEE, p. 2325–2327. https://doi.org/10.1109/ IGARSS.2000.858397
- Harries N. J., Cabrejo A. G. L. (2010). Deformation response of coal mine slopes-implications for slope hazard management using evacuation based on slope monitoring. In: 44th US Rock Mechanics Symposium and 5th US-Canada Rock Mechanics Symposium. OnePetro
- Bui X. N., Nguyen H., Choi Y., et al. (2020). Prediction of slope failure in open-pit mines using a novel hybrid artificial intelligence model based on decision tree and evolution algorithm. Scientific Reports, 10, 1–17. https:// doi.org/10.1038/s41598-020-66904-y. PMid:32555284. PMCid:PMC7303121
- Hwang S. G., Guevarra I. F., & Yu B. O. (2009). Slope failure prediction using a decision tree: A case of engineered slopes in South Korea. Engineering Geology, 104, 126–134. https:// doi.org/10.1016/j.enggeo.2008.09.004
- Sakellariou M. G., & Ferentinou M. D. (2005). A study of slope stability prediction using neural networks.
- Geotechnical & Geological Engineering, 23, 419–445. https:// doi.org/10.1007/s10706-004-8680-5
- Lin H-M, Chang S-K, Wu J-H, & Juang C. H. (2009). Neural network-based model for assessing failure potential of highway slopes in the Alishan, Taiwan Area: Pre-and post-earthquake investigation. Engineering Geology, 104, 280–289. https://doi.org/10.1016/j.enggeo.2008.11.007
- Armstrong J., & Rose N. D. (2009). Mine operation and management of progressive slope deformation on the south wall of the Barrick Goldstrike Betze-Post Open Pit. In: Slope Stability 2009: Proceedings of the International Symposium on Rock Slope Stability in Open Pit Mining and Civil Engineering, Santiago.
- Doyle J. B., & Reese J. D. (2011). Slope monitoring and back analysis of east fault failure, Bingham Canyon Mine, Utah. In: Proceedings of Slope Stability 2011: International Symposium on Rock Slope Stability in Open Pit Mining and Civil Engineering. Canadian Rock Mechanics Association,
- Vancouver, BC.
- Yang D. Y., Mercer R. A., Brouwer K. J., & Tomlinson C. (2011). Managing pit slope stability at the Kemess South Mine-changes over time. In: Proceedings of Slope Stability 2011: International Symposium on Rock Slope Stability in Open Pit Mining and Civil Engineering. Canadian Rock Mechanics Association, Vancouver, BC.
- Ginting A., Stawski M., & Widiadi R. (2011). Geotechnical risk management and mitigation at Grasberg open pit, PT Freeport Indonesia. In: Proceedings of Slope Stability 2011: International Symposium on Rock Slope Stability in Open Pit Mining and Civil Engineering. Vancouver, BC. Canadian Rock Mechanics Association.
- McQuillan A., Canbulat I., Payne D., & Oh J. (2018). New risk assessment methodology for coal mine excavated slopes. International Journal of Mining Science and Technology, 28, 583_592. https://doi.org/10.1016/j.ijmst.2018.07.001 .