State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting

J Zhou, Y Zhang, Y Qiu - Artificial Intelligence Review, 2024 - Springer
The technological difficulties related with blasting operations have become increasingly
significant. It is crucial to give due consideration to the evaluation of rock fragmentation and …

Knowledge map** of research progress in blast-induced ground vibration from 1990 to 2022 using CiteSpace-based scientometric analysis

Y Zhang, H He, M Khandelwal, K Du, J Zhou - Environmental Science and …, 2023 - Springer
Blasting constitutes an essential component of the mining and construction industries.
However, the associated nuisances, particularly blast vibration, have emerged as significant …

Assessment of the ground vibration during blasting in mining projects using different computational approaches

S Hosseini, J Khatti, BO Taiwo, Y Fissha, KS Grover… - Scientific Reports, 2023 - nature.com
The investigation compares the conventional, advanced machine, deep, and hybrid learning
models to introduce an optimum computational model to assess the ground vibrations …

Prediction of pile bearing capacity using XGBoost algorithm: modeling and performance evaluation

M Amjad, I Ahmad, M Ahmad, P Wróblewski… - Applied Sciences, 2022 - mdpi.com
The major criteria that control pile foundation design is pile bearing capacity (Pu). The load
bearing capacity of piles is affected by the various characteristics of soils and the …

Develo** 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 …

Propagation characteristics and prediction of blast-induced vibration on closely spaced rock tunnels

X Wang, J Li, X Zhao, Y Liang - Tunnelling and Underground Space …, 2022 - Elsevier
Excessive blast-induced vibration may cause damage and even the collapse of
underground tunnels, and the monitoring and prediction of vibration have an important …

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 …

[HTML][HTML] Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques

A Arabameri, SC Pal, F Rezaie, OA Nalivan… - Journal of Hydrology …, 2021 - Elsevier
Study region The present study has been carried out in the Tabriz River basin (5397 km 2) in
north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles …

Prediction of blast-induced ground vibration in an open-pit mine by a novel hybrid model based on clustering and artificial neural network

H Nguyen, C Drebenstedt, XN Bui, DT Bui - Natural Resources Research, 2020 - Springer
Ground vibration (PPV) is one of the hazard effects induced by blasting operations in open-
pit mines, which can affect the surrounding structures, particularly the stability of benches …