Predicting angle of internal friction and cohesion of rocks based on machine learning algorithms

NM Shahani, B Ullah, KS Shah, FU Hassan, R Ali… - Mathematics, 2022 - mdpi.com
The safe and sustainable design of rock slopes, open-pit mines, tunnels, foundations, and
underground excavations requires appropriate and reliable estimation of rock strength and …

Developing new models for flyrock distance assessment in open-pit mines

J Shakeri, H Amini Khoshalan… - Journal of Mining …, 2022 - jme.shahroodut.ac.ir
In this research work, a comprehensive study is conducted to predict flyrock as a typical and
undesirable phenomenon occurring during the blasting operation in open-pit mining …

Utilizing heuristic strategies for predicting the backbreak occurrences in open-pit mines, Gol Gohar Mine, Iran

P Sorabi, M Ataei, MRA Jazi, H Dehghani, J Shakeri… - Soft Computing, 2024 - Springer
Backbreak (BB) is a detrimental outcome of blasting activities in mineral extraction
processes within mines. It involves the development of fractures and cracks at considerable …

Application of artificial intelligence techniques for predicting the flyrock, Sungun mine, Iran

J Shakeri, M Bascompta, M Alimoradijazi… - Arabian Journal of …, 2023 - Springer
Flyrock is known as one of the main problems in open pit mining operations. This
phenomenon can threaten the safety of mine personnel, equipment and buildings around …

Development of new comprehensive relations to assess rock fragmentation by blasting for different open pit mines using GEP algorithm and MLR procedure

H Moomivand, H Amini Khoshalan, J Shakeri… - International Journal of …, 2022 - ijmge.ut.ac.ir
The fragment size of blasted rocks considerably affects the mining costs and production
efficiency. The larger amount of blasthole diameter (ϕh) indicates the larger blasting pattern …

Intelligent Approaches for Predicting the Intact Rock Mechanical Parameters and Crack Stress Thresholds

J Shakeri, G Pepe, R Shirani Faradonbeh… - Rock Mechanics and …, 2024 - Springer
This study aims to make a unique contribution to the existing body of knowledge about rock
strength and deformation parameters and crack stress thresholds through intelligent and …

Energy behavior of sandstone containing weak filling joints with multiple angles under dynamic splitting loads

Q Su, G Chang, F Yang, F Qin - KSCE Journal of Civil Engineering, 2024 - Springer
The impact of weak filling joints with multiple angles on the energy dissipation mechanism is
significant for surrounding rock engineering to prevent and mitigate disasters. In the present …

The effect of central flaw on the unconfined strength of rock-like specimens: an intelligent approach

M Asadizadeh, J Karimi, MF Hossaini, A Alipour… - Iranian Journal of …, 2022 - Springer
The strength of jointed rock mass is significantly affected by discontinuities. In particular, the
impact of non-persistent joints on the strength of rock mass needs to be investigated further …

Application of Artificial Intelligence Techniques for Predicting the Back-break in Blasting Operation

P Sorabi, M Ataei, MRA Jazi, H Dehghani, J Shakeri… - 2023 - researchsquare.com
One of the adverse consequences of the blasting in the mineral extraction process in mines
is back-break (BB) so that development of many fractures and cracks at large distances …

[PDF][PDF] Harnessing machine learning for seismic event discrimination in deep underground mining: a case study from Western Australia

RS Faradonbeh, J Shakeri, Z Ghaderi, PA Mikula… - 2024 - researchgate.net
This paper presents a comprehensive study on applying machine learning (ML) techniques
to discriminate seismic events in deep underground mining from blast and noise records …