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 …
Supervised machine learning techniques to the prediction of tunnel boring machine penetration rate
Predicting the penetration rate is a complex and challenging task due to the interaction
between the tunnel boring machine (TBM) and the rock mass. Many studies highlight the …
between the tunnel boring machine (TBM) and the rock mass. Many studies highlight the …
[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 …
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 …
Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns
The type of materials used in designing and constructing structures significantly affects the
way the structures behave. The performance of concrete and steel, which are used as a …
way the structures behave. The performance of concrete and steel, which are used as a …
Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions
The evaluation and precise prediction of safety factor (SF) of slopes can be useful in
designing/analyzing these important structures. In this study, an attempt has been made to …
designing/analyzing these important structures. In this study, an attempt has been made to …
A new auto-tuning model for predicting the rock fragmentation: a cat swarm optimization algorithm
J Huang, PG Asteris, S Manafi Khajeh Pasha… - Engineering with …, 2022 - Springer
The main focus of the present work is to offer an auto-tuning model, called cat swarm
optimization (CSO), to predict rock fragmentation. This population-based method has a …
optimization (CSO), to predict rock fragmentation. This population-based method has a …
Prediction of mechanical properties of rubberised concrete exposed to elevated temperature using ANN
Considering scarcity of natural sand, waste rubber tyre can be an alternate ingredient for
replacement of conventional fine aggregates in the production of concrete. Use of the waste …
replacement of conventional fine aggregates in the production of concrete. Use of the waste …
Three hybrid intelligent models in estimating flyrock distance resulting from blasting
Flyrock is an adverse effect produced by blasting in open-pit mines and tunnelling projects.
So, it seems that the precise estimation of flyrock is essential in minimizing environmental …
So, it seems that the precise estimation of flyrock is essential in minimizing environmental …