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 …

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 …

Predicting blast-induced air overpressure: a robust artificial intelligence system based on artificial neural networks and random forest

H Nguyen, XN Bui - Natural Resources Research, 2019 - Springer
Blasting is the most popular method for rock fragmentation in open-pit mines. However, the
side effects caused by blasting operations include ground vibration, air overpressure (AOp) …

A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam

H Nguyen, XN Bui, HB Bui, NL Mai - Neural Computing and Applications, 2020 - Springer
Air-blast overpressure (AOp) is one of the undesirable effects caused by blasting operations
in open-pit mines. This side effect of blasting can seriously undermine surrounding …

Prediction of air-overpressure induced by blasting using an ANFIS-PNN model optimized by GA

H Harandizadeh, DJ Armaghani - Applied Soft Computing, 2021 - Elsevier
Blasting operations typically have several negative impacts upon human beings and
constructions in adjacent region. Among all, air-overpressure (AOp) has been persistently …

Airblast prediction through a hybrid genetic algorithm-ANN model

D Jahed Armaghani, M Hasanipanah… - Neural Computing and …, 2018 - Springer
Air overpressure is one of the most undesirable destructive effects induced by blasting
operation. Hence, a precise prediction of AOp has vital importance to minimize or reduce the …

Prediction of air-overpressure caused by mine blasting using a new hybrid PSO–SVR model

M Hasanipanah, A Shahnazar… - Engineering with …, 2017 - Springer
The aim of the present study is to predict air-overpressure (AOp) resulting from blasting
operations in the Shur river dam, Iran. AOp is considered as one of the most detrimental side …

A combination of fuzzy Delphi method and hybrid ANN-based systems to forecast ground vibration resulting from blasting

J Huang, M Koopialipoor, DJ Armaghani - Scientific Reports, 2020 - nature.com
This study presents a new input parameter selection and modeling procedure in order to
control and predict peak particle velocity (PPV) values induced by mine blasting. The first …

Applying a meta-heuristic algorithm to predict and optimize compressive strength of concrete samples

L Sun, M Koopialipoor, D Jahed Armaghani… - Engineering with …, 2021 - Springer
The successful use of fly ash (FA) and silica fume (SF) materials has been reported in the
design of concrete samples in the literature. Due to the benefits of using these materials …

A novel hybrid model for predicting blast-induced ground vibration based on k-nearest neighbors and particle swarm optimization

XN Bui, P Jaroonpattanapong, H Nguyen, QH Tran… - Scientific reports, 2019 - nature.com
In this scientific report, a new technique of artificial intelligence which is based on k-nearest
neighbors (KNN) and particle swarm optimization (PSO), named as PSO-KNN, was …