[HTML][HTML] Application of artificial intelligence to rock mechanics: An overview
AI Lawal, S Kwon - Journal of Rock Mechanics and Geotechnical …, 2021 - Elsevier
Different artificial intelligence (AI) methods have been applied to various aspects of rock
mechanics, but the fact that none of these methods have been used as a standard implies …
mechanics, but the fact that none of these methods have been used as a standard implies …
Advances in blast-induced impact prediction—A review of machine learning applications
Rock fragmentation in mining and construction industries is widely achieved using drilling
and blasting technique. The technique remains the most effective and efficient means of …
and blasting technique. The technique remains the most effective and efficient means of …
A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting
Backbreak is a rock fracture problem that exceeds the limits of the last row of holes in an
explosion operation. Excessive backbreak increases operational costs and also poses a …
explosion operation. Excessive backbreak increases operational costs and also poses a …
Six novel hybrid extreme learning machine–swarm intelligence optimization (ELM–SIO) models for predicting backbreak in open-pit blasting
Backbreak (BB) is one of the serious adverse blasting consequences in open-pit mines,
because it frequently reduces economic benefits and seriously affects the safety of mines …
because it frequently reduces economic benefits and seriously affects the safety of mines …
Prediction and optimization of back-break and rock fragmentation using an artificial neural network and a bee colony algorithm
E Ebrahimi, M Monjezi, MR Khalesi… - Bulletin of Engineering …, 2016 - Springer
In blasting works, the aim is to provide proper rock fragmentation and to avoid undesirable
environmental impacts such as back-break. Therefore, predicting fragmentation and back …
environmental impacts such as back-break. Therefore, predicting fragmentation and back …
Artificial intelligence, machine learning and process automation: Existing knowledge frontier and way forward for mining sector
D Ali, S Frimpong - Artificial Intelligence Review, 2020 - Springer
Abstract Machine learning and artificial intelligence are the two fields of computer science
dealing with the innovative idea of inducing smartness and intelligence in machines and …
dealing with the innovative idea of inducing smartness and intelligence in machines and …
Mine-to-crusher policy: Planning of mine blasting patterns for environmentally friendly and optimum fragmentation using Monte Carlo simulation-based multi-objective …
The quality of rock fragmentation intensively affects downstream operations and operational
costs. Besides, Environmental side effects are inevitable due to mine blasting despite …
costs. Besides, Environmental side effects are inevitable due to mine blasting despite …
[PDF][PDF] Prediction of flyrock and backbreak in open pit blasting operation: a neuro-genetic approach.
M Monjezi, H Amini Khoshalan… - Arabian Journal of …, 2012 - academia.edu
An ideally performed blasting operation enormously influences the mining overall cost. This
aim can be achieved by proper prediction and attenuation of flyrock and backbreak. Poor …
aim can be achieved by proper prediction and attenuation of flyrock and backbreak. Poor …
Novel approach to predicting blast-induced ground vibration using Gaussian process regression
An attempt has been made to propose a novel prediction model based on the Gaussian
process regression (GPR) approach. The proposed GPR was used to predict blast-induced …
process regression (GPR) approach. The proposed GPR was used to predict blast-induced …
Developing a least squares support vector machine for estimating the blast-induced flyrock
In blasting operations, the main purpose is to provide appropriate rock fragmentation and to
avoid adverse effects such as flyrock and vibration. This paper presents the applicability of …
avoid adverse effects such as flyrock and vibration. This paper presents the applicability of …