TY - GEN
T1 - A quantitative estimation of open stope walls overbreak and slough in longhole blasting mining
AU - Adoko, Amoussou C.
AU - Yakubov, Khamit
AU - Alipov, Aibek
N1 - Funding Information:
This study was supported by the Faculty Development Competitive Research Grant program of Nazarbayev University, Grant Nº 090118FD5338.
Publisher Copyright:
© 2019 Japanese Society for Rock Mechanics
PY - 2019
Y1 - 2019
N2 - Unplanned dilution can pose huge burden on the profitability of underground mining operations, in particular when mining narrow veins. This paper aims at estimating quantitatively unplanned dilution due to the open stope walls overbreak and slough in longhole blasting mining environment. Open stope mining data are used to assess quantitatively the stope dilution level. The parameters considered in the study included the stope depth, the stope average dip, the hydraulic radius, surface character, RMR, powder factor and the ELOS (equivalent linear overbreak/slough) parameter. A dilution index (DI) is defined using the Rock System Engineering method to relate the dilution to its influencing factors. Multinomial logistic regression is used to establish a probabilistic map of the DI. The results indicated that the RMR, hydraulic radius, undercut area and blasting parameter (powder factor) are the most important factors influencing the dilution index. The computed DI was compared to the ELOS and high correlation was observed. This suggests that the proposed DI-chart could be used to quantify the dilution in longhole mining environment and could complement the well-known stability graph method.
AB - Unplanned dilution can pose huge burden on the profitability of underground mining operations, in particular when mining narrow veins. This paper aims at estimating quantitatively unplanned dilution due to the open stope walls overbreak and slough in longhole blasting mining environment. Open stope mining data are used to assess quantitatively the stope dilution level. The parameters considered in the study included the stope depth, the stope average dip, the hydraulic radius, surface character, RMR, powder factor and the ELOS (equivalent linear overbreak/slough) parameter. A dilution index (DI) is defined using the Rock System Engineering method to relate the dilution to its influencing factors. Multinomial logistic regression is used to establish a probabilistic map of the DI. The results indicated that the RMR, hydraulic radius, undercut area and blasting parameter (powder factor) are the most important factors influencing the dilution index. The computed DI was compared to the ELOS and high correlation was observed. This suggests that the proposed DI-chart could be used to quantify the dilution in longhole mining environment and could complement the well-known stability graph method.
KW - Dilution
KW - Multinomial logistic regression
KW - Overbreak
KW - Rock engineering system
KW - Underground mine stope
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M3 - Conference contribution
AN - SCOPUS:85088435476
T3 - 5th ISRM Young Scholars' Symposium on Rock Mechanics and International Symposium on Rock Engineering for Innovative Future, YSRM 2019
SP - 549
EP - 554
BT - 5th ISRM Young Scholars' Symposium on Rock Mechanics and International Symposium on Rock Engineering for Innovative Future, YSRM 2019
PB - International Society for Rock Mechanics and Rock Engineering
T2 - 5th ISRM Young Scholars' Symposium on Rock Mechanics and International Symposium on Rock Engineering for Innovative Future, YSRM 2019
Y2 - 1 December 2019 through 4 December 2019
ER -