Novel extreme learning machine-multi-verse optimization model for predicting peak particle velocity induced by mine blasting

X Zhang, H Nguyen, Y Choi, XN Bui, J Zhou - Natural Resources …, 2021 - Springer
Peak particle velocity (PPV) is an important criterion for assessing the risk level of ground
vibration induced by mine blasting. Based on this criterion, many efforts to predict accurately …

Reliability and availability artificial intelligence models for predicting blast-induced ground vibration intensity in open-pit mines to ensure the safety of the surroundings

H Nguyen, XN Bui, E Topal - Reliability Engineering & System Safety, 2023 - Elsevier
This study aims to predict ground vibration intensity in mine blasting, which is measured by
peak particle velocity (PPV), using three novel intelligent models based on metaheuristic …

Six novel hybrid extreme learning machine–swarm intelligence optimization (ELM–SIO) models for predicting backbreak in open-pit blasting

C Li, J Zhou, M Khandelwal, X Zhang… - Natural Resources …, 2022 - Springer
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 …

Optimal ELM–Harris Hawks optimization and ELM–Grasshopper optimization models to forecast peak particle velocity resulting from mine blasting

C Yu, M Koopialipoor, BR Murlidhar… - Natural Resources …, 2021 - Springer
Most mining and tunneling projects usually require blasting operations to remove rock mass.
Previous studies have mentioned that if the blasting operation is not properly designed, it …

Estimating flyrock distance induced due to mine blasting by extreme learning machine coupled with an equilibrium optimizer

RM Bhatawdekar, R Kumar, MM Sabri Sabri, B Roy… - Sustainability, 2023 - mdpi.com
Blasting is essential for breaking hard rock in opencast mines and tunneling projects. It
creates an adverse impact on flyrock. Thus, it is essential to forecast flyrock to minimize the …

Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study

H Nguyen, XN Bui, HB Bui, DT Cuong - Acta Geophysica, 2019 - Springer
Ground vibration is one of the most undesirable effects induced by blasting operations in
open-pit mines, and it can cause damage to surrounding structures. Therefore, predicting …

A novel intelligent ELM-BBO technique for predicting distance of mine blasting-induced flyrock

BR Murlidhar, D Kumar, D Jahed Armaghani… - Natural Resources …, 2020 - Springer
Blasting is an economical technique for rock breaking in hard rock excavation. One of its
complex undesired environmental effects is flyrock, which may result in human injuries …

A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine

D Jahed Armaghani, D Kumar, P Samui… - Engineering with …, 2021 - Springer
Ground vibration is one of the most important undesirable effects induced by blasting
operations in the mining or tunneling projects. Hence, developing a precise model for …

Prediction of Blasting Fragmentation Based on GWO‐ELM

Z Jia, Z Song, J Fan, J Jiang - Shock and Vibration, 2022 - Wiley Online Library
Aiming at the complex nonlinear relationship among factors affecting blasting fragmentation,
the input weight and hidden layer threshold of ELM (extreme learning machine) were …

Novel soft computing model for predicting blast-induced ground vibration in open-pit mines based on particle swarm optimization and XGBoost

X Zhang, H Nguyen, XN Bui, QH Tran… - Natural Resources …, 2020 - Springer
Blasting is a useful technique for rocks fragmentation in open-pit mines, underground mines,
as well as for civil engineering work. However, the negative impacts of blasting, especially …