[HTML][HTML] Attention-based LSTM predictive model for the attitude and position of shield machine in tunneling
Shield machine may deviate from its design axis during excavation due to the uncertainty of
geological environment and the complexity of operation. This study therefore introduced a …
geological environment and the complexity of operation. This study therefore introduced a …
Prediction of UCS of fine-grained soil based on machine learning part 1: multivariable regression analysis, gaussian process regression, and gene expression …
The present research introduces the best architecture approach and model for predicting the
unconfined compressive strength (UCS) of cohesive virgin soil by comparing the …
unconfined compressive strength (UCS) of cohesive virgin soil by comparing the …
An Improved Random Forest–Based Operation Duration Prediction of Long-Distance Tunnel Construction Considering Geological Uncertainty
D Liu, Q Dai, X Tang, R Zhang, T Lu… - Journal of Computing in …, 2025 - ascelibrary.org
Long-distance tunnel construction involves a sequence of construction operations that are
influenced by various uncertain factors. Accurate operation duration prediction is critical to …
influenced by various uncertain factors. Accurate operation duration prediction is critical to …
A Hybrid Numerical-ML Model for Predicting Geological Risks in Tunneling with Electrical Methods
In order to ensure construction efficiency and stability during tunnel excavation, it is essential
to predict geological risks ahead of tunnel faces. In this study, a geological risk prediction …
to predict geological risks ahead of tunnel faces. In this study, a geological risk prediction …
Assessment for shallow and large tunnel construction in weak ground conditions: Application of tunnel boring machines
S Karahan, C Gokceoglu - Deep Underground Science and …, 2024 - Wiley Online Library
With recent technological advancements, tunnel boring machines (TBM) have developed
and exhibited high performance in large diameters and weak ground conditions. Tunnels …
and exhibited high performance in large diameters and weak ground conditions. Tunnels …
EPB-TBM performance prediction using statistical and neural intelligence methods
G Barzegari, E Sedghi, AA Nadiri - Geomechanics and …, 2024 - koreascience.kr
This research studies the effect of geotechnical factors on EPB-TBM performance
parameters. The modeling was performed using simple and multivariate linear regression …
parameters. The modeling was performed using simple and multivariate linear regression …
Shield machine pose prediction based on CNN-GRU-Attention
X Liu, K Yang - Engineering Research Express, 2024 - iopscience.iop.org
This paper presents a shield machine pose prediction method based on Convolutional
Neural Network (CNN)-Gated Recurrent Unit (GRU) with Attention mechanism (Attention) …
Neural Network (CNN)-Gated Recurrent Unit (GRU) with Attention mechanism (Attention) …