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 …

[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 …

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration

Y Qiu, J Zhou, M Khandelwal, H Yang, P Yang… - Engineering with …, 2022 - Springer
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 …

Developing a hybrid model of Jaya algorithm-based extreme gradient boosting machine to estimate blast-induced ground vibrations

J Zhou, Y Qiu, M Khandelwal, S Zhu, X Zhang - International Journal of …, 2021 - Elsevier
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 …

[HTML][HTML] Prediction of compaction parameters for fine-grained soil: Critical comparison of the deep learning and standalone models

J Khatti, KS Grover - Journal of Rock Mechanics and Geotechnical …, 2023 - Elsevier
A comparison between deep learning and standalone models in predicting the compaction
parameters of soil is presented in this research. One hundred and ninety and fifty-three soil …

Tensile strength prediction of rock material using non-destructive tests: A comparative intelligent study

M Parsajoo, DJ Armaghani, AS Mohammed… - Transportation …, 2021 - Elsevier
Tensile strength of rock plays a significant role in the design of tunnels and underground
engineering projects. Due to the inefficiency of direct method in determining rock tensile …

Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation

J Zhou, S Huang, M Wang, Y Qiu - Engineering with Computers, 2022 - Springer
The prediction of the potential of soil liquefaction induced by the earthquake is a vital task in
construction engineering and geotechnical engineering. To provide a possible solution to …

Feasibility of indirect determination of blast induced ground vibration based on support vector machine

M Hasanipanah, M Monjezi, A Shahnazar… - Measurement, 2015 - Elsevier
Mines, quarries, and construction sites face blasting environmental problems due to high
level of ground vibrations. This phenomena can cause injury to both human and damage to …

Long-term prediction model of rockburst in underground openings using heuristic algorithms and support vector machines

J Zhou, X Li, X Shi - Safety science, 2012 - Elsevier
Rockburst possibility prediction is an important activity in many underground openings
design and construction as well as mining production. Due to the complex features of …

A novel hunger games search optimization-based artificial neural network for predicting ground vibration intensity induced by mine blasting

H Nguyen, XN Bui - Natural Resources Research, 2021 - Springer
Innovation efforts in developing soft computing models (SCMs) of researchers and scholars
are significant in recent years, especially for problems in the mining industry. So far, many …