Rock fragmentation prediction using an artificial neural network and support vector regression hybrid approach

R Amoako, A Jha, S Zhong - Mining, 2022 - mdpi.com
While empirical rock fragmentation models are easy to parameterize for blast design, they
are usually prone to errors, resulting in less accurate fragment size prediction. Among other …

A distribution-free description of fragmentation by blasting based on dimensional analysis

JA Sanchidrián, F Ouchterlony - Rock Mechanics and Rock Engineering, 2017 - Springer
A model for fragmentation in bench blasting is developed from dimensional analysis
adapted from asteroid collision theory, to which two factors have been added: one …

[HTML][HTML] Applications of Kuz–Ram Models in Mine-to-Mill Integration and Optimization—A Review

M Saldana, S Gallegos, D Arias, I Salazar, J Castillo… - Minerals, 2024 - mdpi.com
The Mine-to-Mill (M2M) approach aims to enhance efficiency and reduce costs in the
mineral processing industry by optimizing the mining and processing stages. M2M …

Mean block size prediction in rock blast fragmentation using TPE-tree-based model approach with SHapley Additive exPlanations

M Mame, Y Qiu, S Huang, K Du, J Zhou - Mining, Metallurgy & Exploration, 2024 - Springer
The optimum fragmentation size measures the quality of a blasting operation. Boulders or
large fragments can result in more costs because they need secondary blasting, while small …

Deep learning-based estimation of muckpile fragmentation using simulated 3D point cloud data

H Ikeda, T Sato, K Yoshino, H Toriya, H Jang… - Applied Sciences, 2023 - mdpi.com
This research introduces an innovative technique for estimating the particle size distribution
of muckpiles, a determinant significantly affecting the efficiency of mining operations. By …

Enhancing rock fragmentation assessment in mine blasting through machine learning algorithms: a practical approach

A Gebretsadik, R Kumar, Y Fissha, Y Kide… - Discover Applied …, 2024 - Springer
The optimization of blasting operations greatly benefits from the prediction of rock
fragmentation. The main factors that affect fragmentation are rock mass characteristics, blast …

Estimation of optimum burden for blasting of different rock strata in an Indian iron ore mine

VK Himanshu, AK Mishra, V Priyadarshi… - Journal of the …, 2021 - Springer
Burden movement plays very important role in the bench blasting for the effective utilization
of the explosive energy. The optimum burden for a blast face varies with the nature of the …

[图书][B] Blasting Technology for Underground Hard Rock Mining

VK Himanshu, AK Mishra, MP Roy, PK Singh - 2023 - Springer
The mineral industries have shown a significant shift from openpit to underground method of
mining due to extinction of shallow depth ore deposits. The openpit mining is preferred for …

[PDF][PDF] Optimizing the blast fragmentation quality of discontinuous rock mass: Case study of Jebel Bouzegza Open-Cast Mine, North Algeria.

K Bedri, MO Hamou, M Filali, R Hadji… - Mining of Mineral …, 2023 - mining.in.ua
Purpose. The research aims to investigate the impact of discontinuity characteristics,
including dip direction, dip and joint spacing, on the size distribution of blasted fragments in …

Determination of optimal fragmentation curves for a surface diamond mine

KM Phamotse, AS Nhleko - Journal of the Southern African Institute of …, 2019 - scielo.org.za
SYNOPSIS Liqhobong Mining Development Company (LMDC) has been experiencing
problems with boulders after blasting where the fragment sizes exceed the maximum of 800 …