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] State-of-the-art review of soft computing applications in underground excavations
Soft computing techniques are becoming even more popular and particularly amenable to
model the complex behaviors of most geotechnical engineering systems since they have …
model the complex behaviors of most geotechnical engineering systems since they have …
A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement
Compressive strength of concrete is one of the most determinant parameters in the design of
engineering structures. This parameter is generally determined by conducting several tests …
engineering structures. This parameter is generally determined by conducting several tests …
A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques
Shear connectors play a prominent role in the design of steel-concrete composite systems.
The behavior of shear connectors is generally determined through conducting push-out …
The behavior of shear connectors is generally determined through conducting push-out …
Flash-flood susceptibility assessment using multi-criteria decision making and machine learning supported by remote sensing and GIS techniques
Concerning the significant increase in the negative effects of flash-floods worldwide, the
main goal of this research is to evaluate the power of the Analytical Hierarchy Process …
main goal of this research is to evaluate the power of the Analytical Hierarchy Process …
[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 …
Predicting blast-induced air overpressure: a robust artificial intelligence system based on artificial neural networks and random forest
H Nguyen, XN Bui - Natural Resources Research, 2019 - Springer
Blasting is the most popular method for rock fragmentation in open-pit mines. However, the
side effects caused by blasting operations include ground vibration, air overpressure (AOp) …
side effects caused by blasting operations include ground vibration, air overpressure (AOp) …
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 …
pit mines, which can affect the surrounding structures, particularly the stability of benches …
Assessment of longstanding effects of fly ash and silica fume on the compressive strength of concrete using extreme learning machine and artificial neural network
Compressive Strength (CS) is an important mechanical feature of concrete taken as an
essential factor in construction. The current study has investigated the effect of fly ash and …
essential factor in construction. The current study has investigated the effect of fly ash and …
Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling
M Hasanipanah, M Noorian-Bidgoli… - Engineering with …, 2016 - Springer
The potential surface settlement, especially in urban areas, is one of the most hazardous
factors in subway and other infrastructure tunnel excavations. Therefore, accurate prediction …
factors in subway and other infrastructure tunnel excavations. Therefore, accurate prediction …