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Modelling the relationship between oversize fragments and nature of rock mass for a sublevel caving operation
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0003-3791-4431
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0002-5347-0853
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0009-0009-0076-4661
2023 (English)In: International Journal of Rock Mechanics And Mining Sciences, ISSN 1365-1609, E-ISSN 1873-4545, Vol. 169, article id 105433Article in journal (Refereed) Published
Abstract [en]

Rock fragmentation is vital in a sublevel caving operation. The oversize fragments are the most undesiredfragmentation category because of their challenges; as such, they require special attention. This study carried outa field test in one of the LKAB’s iron ore mines in northern Sweden to analyse the occurrence of oversizefragments. The analysis involved correlation and regression tests and was performed for different types of rockmasses. The results showed that an increase in the percentage of solid rock mass caused an increase in thepercentage of oversize fragments. The other rock types, including slightly fractured, highly fractured, and rockmass with minor and major cavities, tended to have a reduced percentage of oversize fragments. The resultsindicate that oversize fragments can be predicted using linear regression or partial least square regression modelswith R2 values of 0.78 and 0.73, respectively. 

Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 169, article id 105433
Keywords [en]
Oversize fragments, Measurement while drilling (MWD), Sublevel caving (SLC), Multiple linear regression, Partial least square (PLS) regression
National Category
Geotechnical Engineering and Engineering Geology
Research subject
Mining and Rock Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-96669DOI: 10.1016/j.ijrmms.2023.105433ISI: 001018386500001Scopus ID: 2-s2.0-85161352616OAI: oai:DiVA.org:ltu-96669DiVA, id: diva2:1751901
Funder
VinnovaSwedish Energy AgencySwedish Research Council Formas
Note

Validerad;2023;Nivå 2;2023-06-08 (joosat);

Licens fulltext: CC BY License

This article has previously appeared as a manuscript in a thesis.

Available from: 2023-04-19 Created: 2023-04-19 Last updated: 2025-04-09Bibliographically approved
In thesis
1. Role of Fragmentation at the Production Level of a Sublevel Caving Operation
Open this publication in new window or tab >>Role of Fragmentation at the Production Level of a Sublevel Caving Operation
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This research was conducted to evaluate the association of rock fragmentation with different unit operations of a sublevel caving (SLC) production cycle. Drilling, charging, and blasting, as well as the nature of the rock mass, can affect the fragmentation observed at the drawpoints. Similarly, loading the blasted material from the drawpoints and dumping to the orepasses are strongly influenced by the nature of the fragmentation, particularly the oversize rock fragments.

The aim of this research was to evaluate the operational and economic impacts of different fragment sizes in a production cycle of an SLC operation. It also investigated the possibility of predicting rock fragmentation in SLC blasting based on the nature of the rock mass.

The required data for this research were collected from LKAB’s Malmberget iron ore mine. The loading operation of the blasted rock was filmed, and images of Load-Haul-Dump (LHD) buckets containing blasted rock were extracted from the video recordings. The blasted rock inside the buckets was categorized as fine, medium, coarse, and oversize fragmentation, based on the median fragment size (X 50 ). Measurement While Drilling (MWD) data were used to classify the rock mass based on the extent of rock fracturing, and statistical analysis was performed to predict the fragmentation. The results showed that the percentage occurrence of fine and medium fragmentation classes and oversize fragments have better correlations and can be better predicted using MWD data than other fragmentation types. The impact of dumping oversize fragments to orepasses with and without a screening device was evaluated. The results showed an increase in the cycle time of the LHD machines for the orepass with the screening infrastructure.

The results suggest that the drill monitoring technique has the potential to predict rock fragmentation, particularly oversize rock fragments. In addition, the variations in fragmentation during loading should be considered to allocate the best resources for handling different fragment sizes properly and improve density-based ore grade estimations. Grizzlies, along with boulder breakers, should be used to prevent oversize fragments from entering the orepasses and to increase the overall productivity of the operation.

Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2023
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
National Category
Geotechnical Engineering and Engineering Geology
Research subject
Mining and Rock Engineering
Identifiers
urn:nbn:se:ltu:diva-96671 (URN)978-91-8048-319-3 (ISBN)978-91-8048-320-9 (ISBN)
Public defence
2023-06-15, A109, Luleå University of Technology, Luleå, 10:00 (English)
Opponent
Supervisors
Projects
Face-to-Surface II
Available from: 2023-04-20 Created: 2023-04-20 Last updated: 2025-04-09Bibliographically approved

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Manzoor, SohailGustafson, AnnaSchunnesson, Håkan

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