Developing a hybrid model of Jaya algorithm-based extreme gradient boosting machine to estimate blast-induced ground vibrations

J Zhou, Y Qiu, M Khandelwal, S Zhu, X Zhang - International Journal of …, 2021 - Elsevier
Blasting is still being considered to be one the most important applicable alternatives for
conventional excavations. Ground vibration generated due to blasting is an undesirable …

Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models

J Zhou, PG Asteris, DJ Armaghani, BT Pham - Soil Dynamics and …, 2020 - Elsevier
The present study aims to compare the performance of two machine learning techniques
that can unveil the relationship between the input and target variables and predict the …

Prediction of ground vibration due to mine blasting in a surface lead–zinc mine using machine learning ensemble techniques

S Hosseini, R Pourmirzaee, DJ Armaghani… - Scientific Reports, 2023 - nature.com
Ground vibration due to blasting is identified as a challenging issue in mining and civil
activities. Peak particle velocity (PPV) is one of the blasting undesirable consequences …

Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization

DJ Armaghani, M Hajihassani, ET Mohamad… - Arabian Journal of …, 2014 - Springer
Blasting is a major component of the construction and mining industries in terms of rock
fragmentation and concrete demolition. Blast designers are constantly concerned about …

[HTML][HTML] Determination of blast-induced ground vibration equations for rocks using mechanical and geological properties

R Kumar, D Choudhury, K Bhargava - Journal of Rock Mechanics and …, 2016 - Elsevier
In the recent decades, effects of blast loads on natural and man-made structures have
gained considerable attention due to increase in threat from various man-made activities …

[PDF][PDF] Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm

M Hajihassani, DJ Armaghani, A Marto… - Bull Eng Geol …, 2015 - researchgate.net
Résumé Ce document présente une nouvelle hybride réseaux de neurones artificiels (ANN)
optimisée par une concurrence impérialiste algorithme (ICA) de prédire aparticules pic de …

[HTML][HTML] Blast-induced ground vibration prediction in granite quarries: An application of gene expression programming, ANFIS, and sine cosine algorithm optimized …

AI Lawal, S Kwon, OS Hammed, MA Idris - International Journal of Mining …, 2021 - Elsevier
Blasting of rocks has intrinsic environmental impacts such as ground vibration, which can
interfere with the safety of lives and property. Hence, accurate prediction of the …

Prediction of blast-induced ground vibration using artificial neural network

M Khandelwal, TN Singh - International Journal of Rock Mechanics and …, 2009 - Elsevier
An attempt has been made to evaluate and predict the blast-induced ground vibration and
frequency by incorporating rock properties, blast design and explosive parameters using the …

A chaos recurrent ANFIS optimized by PSO to predict ground vibration generated in rock blasting

W Zhu, HN Rad, M Hasanipanah - Applied Soft Computing, 2021 - Elsevier
The use of explosives is a common and economical method to fragment and/or displace
hard rocks in tunnels and surface and underground mines. Ground vibration, as a side …

Optimization of SVR functions for flyrock evaluation in mine blasting operations

J Huang, J Xue - Environmental Earth Sciences, 2022 - Springer
This study introduces a new model to determine the critical flyrock event in mines. The
flyrock was predicted and optimized using a field database including six parameters and …