[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 …
State-of-the-art review of geotechnical-driven artificial intelligence techniques in underground soil-structure interaction
There has been an increasing demand for underground construction due to urbanization
and limited land in metropolitan cities in the recent years. However, the behavior of …
and limited land in metropolitan cities in the recent years. However, the behavior of …
Shield attitude prediction based on Bayesian-LGBM machine learning
Effective shield attitude control is essential for the quality and safety of shield construction.
The traditional shield attitude control method is manual control based on a driver's …
The traditional shield attitude control method is manual control based on a driver's …
Application of SVR models built with AOA and Chaos mapping for predicting tunnel crown displacement induced by blasting excavation
This study utilizes the support vector regression (SVR) model to predict the tunnel crown
displacement (TCD) induced by the blasting excavation. 95 blasting operations considering …
displacement (TCD) induced by the blasting excavation. 95 blasting operations considering …
Risk evaluation of excavation based on fuzzy decision-making model
A risk evaluation model for an excavation system incorporating the technique for order
preference by similarity to an ideal solution with hybrid fuzzy sets (Pythagorean and …
preference by similarity to an ideal solution with hybrid fuzzy sets (Pythagorean and …
Tunnel deformation prediction during construction: An explainable hybrid model considering temporal and static factors
This paper presents a novel hybrid model designed for predicting mountain tunnel
deformation during construction, incorporating both temporal and static factors. Utilizing a …
deformation during construction, incorporating both temporal and static factors. Utilizing a …
Selected AI optimization techniques and applications in geotechnical engineering
KC Onyelowe, FF Mojtahedi, AM Ebid… - Cogent …, 2023 - Taylor & Francis
In an age of depleting earth due to global warming impacting badly on the ozone layer of the
earth system, the need to employ technologies to substitute those engineering practices …
earth system, the need to employ technologies to substitute those engineering practices …
Machine learning models to predict the tunnel wall convergence
Deformation and damage of the rock mass induced by excavation operations can result in
the tunnel wall convergence. Accurate prediction of the convergence is crucial for ensuring …
the tunnel wall convergence. Accurate prediction of the convergence is crucial for ensuring …
A gene expression programming model for predicting tunnel convergence
Underground spaces have become increasingly important in recent decades in
metropolises. In this regard, the demand for the use of underground spaces and …
metropolises. In this regard, the demand for the use of underground spaces and …
Machine learning to inform tunnelling operations: Recent advances and future trends
BB Sheil, SK Suryasentana… - Proceedings of the …, 2020 - icevirtuallibrary.com
The proliferation of data collected by modern tunnel-boring machines (TBMs) presents a
substantial opportunity for the application of machine learning (ML) to support the decision …
substantial opportunity for the application of machine learning (ML) to support the decision …