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Probabilistic-Based Stope Design Methodology for Complex Ore Body with Rock Mass Property Variability
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0002-3838-8472
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0002-9766-0106
2019 (English)In: Journal of mining science, ISSN 1062-7391, E-ISSN 1573-8736, Vol. 55, no 5, p. 743-750Article in journal (Refereed) Published
Abstract [en]

This paper presents a probabilistic approach for optimizing stope design methodology whiletaking into consideration the variability in the rock mass properties. For this study, a complex orebody in aCanadian mine was used. Because of the variability in the rock mass properties of the orebody, it was notpossible to determine precisely, the values of geotechnical design input parameters and hence the need toutilize a probabilistic approach. Point Estimate Method (PEM), a probabilistic tool, was incorporated intonumerical analysis using FLAC3D to study the deformation magnitudes of various stope geometries todetermine the optimal stope geometry with a minimum ground control problem. Results obtained for thedistribution of the wall deformations and the floor heaves for each option of the stope geometry werecompared to select the best geometry to achieve the optimum stability condition. The methodologypresented in this study can be helpful in the process of underground mine planning and optimization incomplex orebody.

Place, publisher, year, edition, pages
Russia: Springer , 2019. Vol. 55, no 5, p. 743-750
Keywords [en]
Complex orebody, probabilistic approach, rock mass variability, stope geometry, point estimate method
National Category
Other Civil Engineering
Research subject
Mining and Rock Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-78834DOI: 10.1134/S1062739119056112Scopus ID: 2-s2.0-85083678476OAI: oai:DiVA.org:ltu-78834DiVA, id: diva2:1429313
Note

Godkänd;2020;Nivå 0;2020-05-11 (alebob)

Available from: 2020-05-10 Created: 2020-05-10 Last updated: 2020-05-11Bibliographically approved

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Idris, M. A.Nordlund, E.

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