Application of artificial intelligence in geotechnical engineering: A state-of-the-art review
Geotechnical engineering deals with soils and rocks and their use in engineering
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
[HTML][HTML] Application of artificial intelligence to rock mechanics: An overview
AI Lawal, S Kwon - Journal of Rock Mechanics and Geotechnical …, 2021 - Elsevier
Different artificial intelligence (AI) methods have been applied to various aspects of rock
mechanics, but the fact that none of these methods have been used as a standard implies …
mechanics, but the fact that none of these methods have been used as a standard implies …
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) …
side effects caused by blasting operations include ground vibration, air overpressure (AOp) …
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 …
earthquake. In this study, two intelligent systems namely artificial neural network (ANN) and …
Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization
Blasting is a major component of the construction and mining industries in terms of rock
fragmentation and concrete demolition. Blast designers are constantly concerned about …
fragmentation and concrete demolition. Blast designers are constantly concerned about …
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 …
induced by blasting. This study focuses on developing a model based on deep neural …
[HTML][HTML] Prediction of flyrock distance induced by mine blasting using a novel Harris Hawks optimization-based multi-layer perceptron neural network
In mining or construction projects, for exploitation of hard rock with high strength properties,
blasting is frequently applied to breaking or moving them using high explosive energy …
blasting is frequently applied to breaking or moving them using high explosive energy …
Three hybrid intelligent models in estimating flyrock distance resulting from blasting
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 …
So, it seems that the precise estimation of flyrock is essential in minimizing environmental …
Artificial intelligence, machine learning and process automation: Existing knowledge frontier and way forward for mining sector
D Ali, S Frimpong - Artificial Intelligence Review, 2020 - Springer
Abstract Machine learning and artificial intelligence are the two fields of computer science
dealing with the innovative idea of inducing smartness and intelligence in machines and …
dealing with the innovative idea of inducing smartness and intelligence in machines and …
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 …
operation. Hence, a precise prediction of AOp has vital importance to minimize or reduce the …