Feasibility of PSO–ANFIS model to estimate rock fragmentation produced by mine blasting

M Hasanipanah, HB Amnieh, H Arab… - Neural Computing and …, 2018 - Springer
Desired rock fragmentation is the main goal of the blasting operation in surface mines, civil
and tunneling works. Therefore, precise prediction of rock fragmentation is very important to …

[HTML][HTML] XG boost algorithm to simultaneous prediction of rock fragmentation and induced ground vibration using unique blast data

NS Chandrahas, BS Choudhary, MV Teja… - Applied Sciences, 2022 - mdpi.com
The two most frequently heard terms in the mining industry are safety and production. These
two terms put a lot of pressure on blasting engineers and crew to give more while …

Development of an optimized regression model to predict blast-driven ground vibrations

SSR Moustafa, MS Abdalzaher, MH Yassien… - IEEE …, 2021 - ieeexplore.ieee.org
Ground vibrations caused by blasting operations in cement canisters is among the main
mining issues that cause significant disruptions to nearby buildings and infrastructure. This …

Performance prediction of tunnel boring machine through developing a gene expression programming equation

D Jahed Armaghani, RS Faradonbeh… - Engineering with …, 2018 - Springer
The prediction of tunnel boring machine (TBM) performance in a specified rock mass
condition is crucial for any mechanical tunneling project. TBM performance prediction in …

[HTML][HTML] Prediction of peak particle velocity caused by blasting through the combinations of boosted-CHAID and SVM models with various kernels

J Zeng, PC Roussis, AS Mohammed, C Maraveas… - Applied Sciences, 2021 - mdpi.com
This research examines the feasibility of hybridizing boosted Chi-Squared Automatic
Interaction Detection (CHAID) with different kernels of support vector machine (SVM) …

[HTML][HTML] Advances in blast-induced impact prediction—A review of machine learning applications

NK Dumakor-Dupey, S Arya, A Jha - Minerals, 2021 - mdpi.com
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 …

[HTML][HTML] Review of machine learning application in mine blasting

A Abd Elwahab, E Topal, HD Jang - Arabian Journal of Geosciences, 2023 - Springer
Mine blasting has adopted machine learning (ML) into its practices with the aims of
performance optimization, better decision-making process, and work safety. This study is …

A new hybrid ANFIS–PSO model for prediction of peak particle velocity due to bench blasting

E Ghasemi, H Kalhori, R Bagherpour - Engineering with Computers, 2016 - Springer
In this paper, a novel hybrid approach is proposed for predicting peak particle velocity (PPV)
due to bench blasting in open pit mines. The proposed approach is based on the …

Classification and regression tree technique in estimating peak particle velocity caused by blasting

M Khandelwal, DJ Armaghani, RS Faradonbeh… - Engineering with …, 2017 - Springer
Blasting is a widely used technique for rock fragmentation in surface mines and tunneling
projects. The ground vibrations produced by blasting operations are the main concern for …

Automated intelligent hybrid computing schemes to predict blasting induced ground vibration

A Abbaszadeh Shahri, F Pashamohammadi… - Engineering with …, 2022 - Springer
Blasting has been widely recognized as an economical and viable method in geo-
engineering projects. However, the induced ground vibration in terms of peak particle …