Application of artificial intelligence in geotechnical engineering: A state-of-the-art review

A Baghbani, T Choudhury, S Costa, J Reiner - Earth-Science Reviews, 2022 - Elsevier
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 …

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 …

[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 …

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 …

Modeling and optimization of tool vibration and surface roughness in boring of steel using RSM, ANN and SVM

K Venkata Rao, P Murthy - Journal of intelligent manufacturing, 2018 - Springer
In this paper, statistical models were developed to investigate effect of cutting parameters on
surface roughness and root mean square of work piece vibration in boring of stainless steel …

[HTML][HTML] Effective assessment of blast-induced ground vibration using an optimized random forest model based on a Harris hawks optimization algorithm

Z Yu, X Shi, J Zhou, X Chen, X Qiu - Applied Sciences, 2020 - mdpi.com
Most mines choose the drilling and blasting method which has the characteristics of being a
cheap and efficient method to fragment rock mass, but blast-induced ground vibration …

Novel approach to predicting blast-induced ground vibration using Gaussian process regression

CK Arthur, VA Temeng, YY Ziggah - Engineering with Computers, 2020 - Springer
An attempt has been made to propose a novel prediction model based on the Gaussian
process regression (GPR) approach. The proposed GPR was used to predict blast-induced …

Multivariate Adaptive Regression Splines (MARS) approach to blast-induced ground vibration prediction

CK Arthur, VA Temeng, YY Ziggah - International journal of mining …, 2020 - Taylor & Francis
Modelling and prediction of blast-induced ground vibration is a significant aspect of mining
and civil engineering operations, as ground vibration has dire consequences on both the …

[HTML][HTML] 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 …

A hybrid artificial bee colony algorithm and support vector machine for predicting blast-induced ground vibration

C Zhu, Y Xu, Y Wu, M He, C Zhu, Q Meng… - … and Engineering Vibration, 2022 - Springer
Because nearby construction has harmful effects, precisely predicting blast-induced ground
vibration is critical. In this paper, a hybrid artificial bee colony (ABC) and support vector …