Application of artificial neural network (ANN) for prediction and optimization of blast-induced impacts
AY Al-Bakri, M Sazid - Mining, 2021 - mdpi.com
Drilling and blasting remain the preferred technique used for rock mass breaking in mining
and construction projects compared to other methods from an economic and productivity …
and construction projects compared to other methods from an economic and productivity …
An uncertainty hybrid model for risk assessment and prediction of blast-induced rock mass fragmentation
Blasting is an important mining operation that usually produce several damaging
consequences. Adverse rock fragmentation due to bench blasting is one of them. Hence …
consequences. Adverse rock fragmentation due to bench blasting is one of them. Hence …
A rock engineering systems based model to predict rock fragmentation by blasting
F Faramarzi, H Mansouri, MAE Farsangi - International Journal of Rock …, 2013 - Elsevier
A new model for prediction of rock fragmentation by blasting is presented based upon the
basic concepts of rock engineering systems (RES). The newly proposed approach involves …
basic concepts of rock engineering systems (RES). The newly proposed approach involves …
Advanced analytics for rock blasting and explosives engineering in mining
JLV Mariz, A Soofastaei - … Leverage Advanced Analytics in Mining Industry …, 2022 - Springer
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 …
Support vector machines approach to mean particle size of rock fragmentation due to bench blasting prediction
Aiming at the problems of the traditional method of assessing distribution of particle size in
bench blasting, a support vector machines (SVMs) regression methodology was used to …
bench blasting, a support vector machines (SVMs) regression methodology was used to …
Rock fragmentation prediction using an artificial neural network and support vector regression hybrid approach
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 …
are usually prone to errors, resulting in less accurate fragment size prediction. Among other …
Mean particle size prediction in rock blast fragmentation using neural networks
Multivariate analysis procedures and a neural network methodology are used to predict
mean particle size resulting from rock blast fragmentation. A blast data base developed in a …
mean particle size resulting from rock blast fragmentation. A blast data base developed in a …
[HTML][HTML] A new approach to represent impact of discontinuity spacing and rock mass description on the median fragment size of blasted rocks using image analysis of …
A Azizi, H Moomivand - Rock Mechanics and Rock Engineering, 2021 - Springer
Several in-situ rock mass properties and blasthole parameters can affect the rock
fragmentation. Because of the complexity of the variables affecting the fragmentation results …
fragmentation. Because of the complexity of the variables affecting the fragmentation results …
Artificial neural network modeling as an approach to limestone blast production rate prediction: a comparison of PI-BANN and MVR models
Rock blast production rate (BPR) is one of the most crucial factors in the evaluation of mine
project's performance. In order to improve the production of a limestone mine, the blast …
project's performance. In order to improve the production of a limestone mine, the blast …
Application of multivariate analysis for prediction of blast-induced ground vibrations
T Hudaverdi - Soil Dynamics and Earthquake Engineering, 2012 - Elsevier
Prediction of ground vibration is of great importance in mitigation of blast-induced adverse
effects. In this research, an innovative multivariate analysis procedure for prediction of blast …
effects. In this research, an innovative multivariate analysis procedure for prediction of blast …