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 …
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 …
[HTML][HTML] Prediction of compaction parameters for fine-grained soil: Critical comparison of the deep learning and standalone models
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 …
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
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 …
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
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 …
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 …
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 …
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 …
are significant in recent years, especially for problems in the mining industry. So far, many …