Advanced analytics for rock blasting and explosives engineering in mining
Blasting is a fundamental operation in the mining of metal and non-metal mine sites. There
is a historical story of using explosive material in both underground and surface mines sites …
is a historical story of using explosive material in both underground and surface mines sites …
A critical analysis of recent research into the prediction of flyrock and related issues resulting from surface blasting activities
J Van der Walt, W Spiteri - Journal of the Southern African Institute of …, 2020 - scielo.org.za
Since 2010, a number of researchers have investigated the development of new models to
generate accurate predictions relating to the risks from flyrock. The purpose of this paper is …
generate accurate predictions relating to the risks from flyrock. The purpose of this paper is …
Development of an intelligent model to estimate the height of caving–fracturing zone over the longwall gobs
M Rezaei - Neural Computing and Applications, 2018 - Springer
After the ore (seam) extraction in longwall mining, the immediate roof layers over the
extracted panel are strained and suspended downward. This process expands upward and …
extracted panel are strained and suspended downward. This process expands upward and …
Prediction of blast-induced flyrock using differential evolution algorithm
H Dehghani, M Shafaghi - Engineering with Computers, 2017 - Springer
Flyrock is an undesirable phenomenon in blasting operations. Due to high potential to cause
damage to machinery and nearby structures and to cause injuries, even fatal, to personnel …
damage to machinery and nearby structures and to cause injuries, even fatal, to personnel …
[HTML][HTML] Estimating, appraising and establishing blast exclusion zone at Huni pit-a case study
AK Benin, BT Akuinor, M Khandelwal - Journal of Safety and Sustainability, 2024 - Elsevier
The issue of accidental flyrock has the tendency to develop safety concerns for commuters
around the main public road as mining progressed from 960 m Reduced Level (RL) to …
around the main public road as mining progressed from 960 m Reduced Level (RL) to …
Measurement and Prediction of Blast-Induced Flyrock Distance Using Unmanned Aerial Vehicles and Metaheuristic-Optimized ANFIS Neural Networks
H Nguyen, N Van Thieu - Natural Resources Research, 2024 - Springer
Flyrock from blasting in open-pit mining is one of the most dangerous occurrences that can
cause accidents to workers, damage to machinery and equipment and even fatalities …
cause accidents to workers, damage to machinery and equipment and even fatalities …
High-Speed Motion Analysis-Based Machine Learning Models for Prediction and Simulation of Flyrock in Surface Mines
Blasting is a cost-efficient and effective technique that utilizes explosive chemical energy to
generate the necessary pressure for rock fragmentation in surface mines. However, a …
generate the necessary pressure for rock fragmentation in surface mines. However, a …
Experimental and Numerical Studies on Splitting Fracture of Rocks Using Different Bit Heads
M Kim, T Xu, H Kim, M Sagong, G Zi - KSCE Journal of Civil Engineering, 2023 - Springer
A hydraulic splitting method was recently developed to reduce the generation of noise and
vibration in urban underground construction. However, research on optimizing the method …
vibration in urban underground construction. However, research on optimizing the method …
Flyrock in surface mining-Limitations of current predictive models and a better alterative through modelling the aerodynamics of flyrock trajectory
T Szendrei, S Tose - Journal of the Southern African Institute of Mining …, 2022 - scielo.org.za
Historical approaches to the problem of flyrock based on correlation studies and regression
analysis, including artificial neural networks and similar techniques, are inherently incapable …
analysis, including artificial neural networks and similar techniques, are inherently incapable …
Prediction the dynamic of changes in the concentrations of main greenhouse gases by an artificial neural network type NARX
A Sergeev, A Buevich, A Shichkin… - AIP conference …, 2020 - pubs.aip.org
The paper considered the use of one of the most accurate artificial neural networks for
predicting time seriesa nonlinear autoregressive neural network with external input (NARX) …
predicting time seriesa nonlinear autoregressive neural network with external input (NARX) …