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 …

Comparison of intelligence science techniques and empirical methods for prediction of blasting vibrations

M Mohamadnejad, R Gholami, M Ataei - Tunnelling and Underground …, 2012 - Elsevier
Masjed-Soleiman dam is one of the national projects in Iran, having the most complexity and
a lot of underground excavations in its scale. The damage of blast induced vibrations in the …

[HTML][HTML] Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting

DJ Armaghani, E Momeni, SVANK Abad… - Environmental earth …, 2015 - Springer
One of the most significant environmental issues of blasting operations is ground vibration,
which can cause damage to the surrounding residents and structures. Hence, it is a major …

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 …

[HTML][HTML] Intelligent prediction of blasting-induced ground vibration using ANFIS optimized by GA and PSO

H Yang, M Hasanipanah, MM Tahir, DT Bui - Natural Resources Research, 2020 - Springer
Ground vibration induced by rock blasting is one of the most crucial problems in surface
mines and tunneling projects. Hence, accurate prediction of ground vibration is an important …

[HTML][HTML] Predicting the blast-induced vibration velocity using a bagged support vector regression optimized with firefly algorithm

X Ding, M Hasanipanah, H Nikafshan Rad… - Engineering with …, 2021 - Springer
Ground vibration is the most detrimental effect induced by blasting in surface mines. This
study presents an improved bagged support vector regression (BSVR) combined with the …

[HTML][HTML] A comparison of advanced computational models and experimental techniques in predicting blast-induced ground vibration in open-pit coal mine

H Nguyen, XN Bui, H Moayedi - Acta Geophysica, 2019 - Springer
Green mining is an essential requirement for the development of the mining industry. Of the
operations in mining technology, blasting is one of the operations that significantly affect the …

[HTML][HTML] 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 …

[HTML][HTML] 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 …

Predicting blast-induced ground vibration in open-pit mines using vibration sensors and support vector regression-based optimization algorithms

H Nguyen, Y Choi, XN Bui, T Nguyen-Thoi - Sensors, 2019 - mdpi.com
In this study, vibration sensors were used to measure blast-induced ground vibration (PPV).
Different evolutionary algorithms were assessed for predicting PPV, including the particle …