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 …
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 …
Hybrid meta-heuristic and machine learning algorithms for tunneling-induced settlement prediction: A comparative study
Abstract Machine learning (ML) algorithms have been gradually used in predicting tunneling-
induced settlement, but there is no uniform process for establishing ML models and even …
induced settlement, but there is no uniform process for establishing ML models and even …
[HTML][HTML] Effectiveness of predicting tunneling-induced ground settlements using machine learning methods with small datasets
Prediction of tunneling-induced ground settlements is an essential task, particularly for
tunneling in urban settings. Ground settlements should be limited within a tolerable …
tunneling in urban settings. Ground settlements should be limited within a tolerable …
Reinforcement learning based optimizer for improvement of predicting tunneling-induced ground responses
Prediction of ground responses is important for improving performance of tunneling. This
study proposes a novel reinforcement learning (RL) based optimizer with the integration of …
study proposes a novel reinforcement learning (RL) based optimizer with the integration of …
Hybrid random forest-based models for earth pressure balance tunneling-induced ground settlement prediction
Featured Application This paper employs intelligent methods to forecast ground settlement
caused by tunnel construction in order to provide a solid foundation for risk warning and risk …
caused by tunnel construction in order to provide a solid foundation for risk warning and risk …
Analysis and intelligent prediction for displacement of stratum and tunnel lining by shield tunnel excavation in complex geological conditions: A case study
F Kong, D Lu, Y Ma, J Li, T Tian - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper presents the analysis and intelligent prediction for the displacement of stratum
and tunnel lining of Qingdao Metro Line 4 by earth pressure balance (EPB) shield tunnel …
and tunnel lining of Qingdao Metro Line 4 by earth pressure balance (EPB) shield tunnel …
[PDF][PDF] Simulation of blasting-induced air overpressure by means of artificial neural networks
Blasting is the controlled use of explosives to excavate, break down or remove rock in
construction projects and mining industrials. Air overpressure or airblast is one of the …
construction projects and mining industrials. Air overpressure or airblast is one of the …
Experimental study of surface failure induced by tunnel construction in sand
An experimental study was conducted to determine the effects of tunnel construction on
ground movements in sand. In this regard, a small-scale three-dimensional model test was …
ground movements in sand. In this regard, a small-scale three-dimensional model test was …
Intelligent prediction and visual optimization of surface settlement induced by earth pressure balance shield tunneling
Surface settlement (Ss) caused by earth pressure balance (EPB) shield tunneling is a threat
to the safety of surface buildings and underground tunnel structures. To that end, a novel …
to the safety of surface buildings and underground tunnel structures. To that end, a novel …