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 …

Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns

P Sarir, J Chen, PG Asteris, DJ Armaghani… - Engineering with …, 2021 - Springer
The type of materials used in designing and constructing structures significantly affects the
way the structures behave. The performance of concrete and steel, which are used as a …

Prediction of seismic slope stability through combination of particle swarm optimization and neural network

B Gordan, D Jahed Armaghani, M Hajihassani… - Engineering with …, 2016 - Springer
One of the main concerns in geotechnical engineering is slope stability prediction during the
earthquake. In this study, two intelligent systems namely artificial neural network (ANN) and …

Deep neural network and whale optimization algorithm to assess flyrock induced by blasting

H Guo, J Zhou, M Koopialipoor… - Engineering with …, 2021 - Springer
A wide variety of artificial intelligence methods have been utilized in the prediction of flyrock
induced by blasting. This study focuses on developing a model based on deep neural …

[HTML][HTML] Intelligence prediction of some selected environmental issues of blasting: a review

BR Murlidhar, DJ Armaghani… - The Open …, 2020 -  …
Background: Blasting is commonly used for loosening hard rock during excavation for
generating the desired rock fragmentation required for optimizing the productivity of …

Three hybrid intelligent models in estimating flyrock distance resulting from blasting

M Koopialipoor, A Fallah, DJ Armaghani, A Azizi… - Engineering with …, 2019 - Springer
Flyrock is an adverse effect produced by blasting in open-pit mines and tunnelling projects.
So, it seems that the precise estimation of flyrock is essential in minimizing environmental …

[HTML][HTML] Prediction of flyrock induced by mine blasting using a novel kernel-based extreme learning machine

M Jamei, M Hasanipanah, M Karbasi… - Journal of Rock …, 2021 - Elsevier
Blasting is a common method of breaking rock in surface mines. Although the fragmentation
with proper size is the main purpose, other undesirable effects such as flyrock are inevitable …

Data-driven optimized artificial neural network technique for prediction of flyrock induced by boulder blasting

X Wang, S Hosseini, D Jahed Armaghani… - Mathematics, 2023 - mdpi.com
One of the most undesirable consequences induced by blasting in open-pit mines and civil
activities is flyrock. Furthermore, the production of oversize boulders creates many problems …

Random forest and bayesian network techniques for probabilistic prediction of flyrock induced by blasting in quarry sites

H Han, D Jahed Armaghani, R Tarinejad… - Natural Resources …, 2020 - Springer
Flyrock is one of the most important environmental and hazardous issues in mine blasting,
which can affect equipment and people, and may lead to fatal accidents. Therefore …

Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting

A Saghatforoush, M Monjezi… - Engineering with …, 2016 - Springer
Blasting is the process of use of explosives to excavate or remove the rock mass. The main
objective of blasting operation is to provide proper rock fragmentation and to avoid …