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 tunnel squeezing using support vector machine optimized by whale optimization algorithm
The squeezing behavior of surrounding rock can be described as the time-dependent large
deformation during tunnel excavation, which appears in special geological conditions, such …
deformation during tunnel excavation, which appears in special geological conditions, such …
[HTML][HTML] Identification of digital technologies and digitalisation trends in the mining industry
L Barnewold, BG Lottermoser - International journal of mining science and …, 2020 - Elsevier
Digitalisation in mining refers to the use of computerised or digital devices or systems and
digitised data that are to reduce costs, improve business productivity, and transform mining …
digitised data that are to reduce costs, improve business productivity, and transform mining …
[HTML][HTML] Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms
The main purpose of blasting operation is to produce desired and optimum mean size rock
fragments. Smaller or fine fragments cause the loss of ore during loading and transportation …
fragments. Smaller or fine fragments cause the loss of ore during loading and transportation …
A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting
Backbreak is a rock fracture problem that exceeds the limits of the last row of holes in an
explosion operation. Excessive backbreak increases operational costs and also poses a …
explosion operation. Excessive backbreak increases operational costs and also poses a …
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 …
Six novel hybrid extreme learning machine–swarm intelligence optimization (ELM–SIO) models for predicting backbreak in open-pit blasting
Backbreak (BB) is one of the serious adverse blasting consequences in open-pit mines,
because it frequently reduces economic benefits and seriously affects the safety of mines …
because it frequently reduces economic benefits and seriously affects the safety of mines …
A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam
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 …
in open-pit mines. This side effect of blasting can seriously undermine surrounding …
COSMA-RF: New intelligent model based on chaos optimized slime mould algorithm and random forest for estimating the peak cutting force of conical picks
Since conical pick cutting is a complex process of multi-factor coupling effects, theoretical
model construction for cutting force prediction is a quite difficult task. In this paper, various …
model construction for cutting force prediction is a quite difficult task. In this paper, various …