[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 …
State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting
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 …
significant. It is crucial to give due consideration to the evaluation of rock fragmentation and …
Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration
Accurate prediction of ground vibration caused by blasting has always been a significant
issue in the mining industry. Ground vibration caused by blasting is a harmful phenomenon …
issue in the mining industry. Ground vibration caused by blasting is a harmful phenomenon …
Developing a hybrid model of Jaya algorithm-based extreme gradient boosting machine to estimate blast-induced ground vibrations
Blasting is still being considered to be one the most important applicable alternatives for
conventional excavations. Ground vibration generated due to blasting is an undesirable …
conventional excavations. Ground vibration generated due to blasting is an undesirable …
Assessment of the ground vibration during blasting in mining projects using different computational approaches
The investigation compares the conventional, advanced machine, deep, and hybrid learning
models to introduce an optimum computational model to assess the ground vibrations …
models to introduce an optimum computational model to assess the ground vibrations …
Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models
The present study aims to compare the performance of two machine learning techniques
that can unveil the relationship between the input and target variables and predict the …
that can unveil the relationship between the input and target variables and predict the …
Development of neuro-fuzzy and neuro-bee predictive models for prediction of the safety factor of eco-protection slopes
This study is aimed to investigate the surface eco-protection techniques for cohesive soil
slopes along the selected Guthrie Corridor Expressway (GCE) stretch by way of analyzing a …
slopes along the selected Guthrie Corridor Expressway (GCE) stretch by way of analyzing a …
Prediction of ground vibration due to mine blasting in a surface lead–zinc mine using machine learning ensemble techniques
Ground vibration due to blasting is identified as a challenging issue in mining and civil
activities. Peak particle velocity (PPV) is one of the blasting undesirable consequences …
activities. Peak particle velocity (PPV) is one of the blasting undesirable consequences …
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 …
pit mines, which can affect the surrounding structures, particularly the stability of benches …
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 …