Artificial intelligent techniques for prediction of rock strength and deformation properties–A review

M Ali, SH Lai - Structures, 2023 - Elsevier
In rock design projects, a number of mechanical properties are frequently employed,
particularly unconfined compressive strength (UCS) and deformation (E). The researchers …

Application of artificial intelligence in coal mine ultra-deep roadway engineering—a review

B Yu, B Wang, Y Zhang - Artificial Intelligence Review, 2024 - Springer
The deep integration of computer field and coal mining field is the only way to coal mine
intellectualization. A variety of artificial intelligence tools have been applied in open-pit and …

Several tree-based solutions for predicting flyrock distance due to mine blasting

M Yari, DJ Armaghani, C Maraveas, AN Ejlali… - Applied Sciences, 2023 - mdpi.com
Blasting operations involve some undesirable environmental issues that may cause damage
to equipment and surrounding areas. One of them, and probably the most important one, is …

A case study of resilient modulus prediction leveraging an explainable metaheuristic-based XGBoost

B He, DJ Armaghani, MZ Tsoukalas, C Qi… - Transportation …, 2024 - Elsevier
The resilient modulus (MR) of pavement subgrade soils is an index describing the structural
response of flexible pavement foundations. Commonly, MR under different conditions of …

Prediction of uniaxial strength of rocks using relevance vector machine improved with dual kernels and metaheuristic algorithms

J Khatti, KS Grover - Rock Mechanics and Rock Engineering, 2024 - Springer
The uniaxial compressive strength (UCS) is an essential parameter to study rock
characteristics, determined by direct and indirect methods. However, the direct methods of …

Intelligent based decision-making strategy to predict fire intensity in subsurface engineering environments

M Kamran, RK Wattimena, DJ Armaghani… - Process Safety and …, 2023 - Elsevier
The prospect of subsurface structures taking uncontrollable fire is a significant cause of
stress held by people from all over the world. Mine fires and explosions have caused …

Assessment of uniaxial strength of rocks: A critical comparison between evolutionary and swarm optimized relevance vector machine models

J Khatti, KS Grover - Transportation Infrastructure Geotechnology, 2024 - Springer
The present study compares the evolutionary and swarm-optimized relevance vector
machine (RVM) models to find the optimal model for computing rocks' uniaxial compressive …

Development of Z number-based fuzzy inference system to predict bearing capacity of circular foundations

S Hosseini, B Gordan, E Kalkan - Artificial Intelligence Review, 2024 - Springer
Precise bearing capacity prediction of circular foundations is essential in civil engineering
design and construction. The bearing capacity is affected by factors such as depth, density of …

[HTML][HTML] Bayesian optimization-enhanced ensemble learning for the uniaxial compressive strength prediction of natural rock and its application

C Daniel, X Yin, X Huang, JA Busari, AI Daniel… - Geohazard …, 2024 - Elsevier
Engineering disasters, such as rockburst and collapse, are closely related to structural
instability caused by insufficient bearing capacity of geological materials. Uniaxial …

Comprehensive study on the Python-based regression machine learning models for prediction of uniaxial compressive strength using multiple parameters in …

S Kochukrishnan, P Krishnamurthy, N Kaliappan - Scientific Reports, 2024 - nature.com
The strength of rock under uniaxial compression, commonly known as Uniaxial
Compressive Strength (UCS), plays a crucial role in various geomechanical applications …