A novel constrained dense convolutional autoencoder and DNN-based semi-supervised method for shield machine tunnel geological formation recognition
Accurately acquiring the geological information of the tunnel face will help to set the optimal
operational parameters, so that the shield machine can achieve better tunneling …
operational parameters, so that the shield machine can achieve better tunneling …
[HTML][HTML] Geological information prediction for shield machine using an enhanced multi-head self-attention convolution neural network with two-stage feature extraction
Due to the closed working environment of shield machines, the construction personnel
cannot observe the construction geological environment, which seriously restricts the safety …
cannot observe the construction geological environment, which seriously restricts the safety …
[HTML][HTML] Deep learning based classification of rock structure of tunnel face
The automated interpretation of rock structure can improve the efficiency, accuracy, and
consistency of the geological risk assessment of tunnel face. Because of the high …
consistency of the geological risk assessment of tunnel face. Because of the high …
Unfavorable geology recognition in front of shallow tunnel face using machine learning
Subsoil profile mapping is typically based on spatially discrete borehole logs obtained from
site geotechnical investigations. During the mapping, soil information between two …
site geotechnical investigations. During the mapping, soil information between two …
Rock mass type prediction for tunnel boring machine using a novel semi-supervised method
Tunnel boring machine is extremely sensitive to geological changes, and the accurate
prediction of geological conditions ahead of the tunnel face is helpful for safe and efficient …
prediction of geological conditions ahead of the tunnel face is helpful for safe and efficient …
An accurate and adaptative cutterhead torque prediction method for shield tunneling machines via adaptative residual long-short term memory network
During the tunnel excavation, accurate cutterhead torque prediction is helpful to adjust
shield machine operation parameters for avoiding cutterhead jamming, which greatly …
shield machine operation parameters for avoiding cutterhead jamming, which greatly …
A fast detection method via region‐based fully convolutional neural networks for shield tunnel lining defects
Y Xue, Y Li - Computer‐Aided Civil and Infrastructure …, 2018 - Wiley Online Library
Tunnel lining defects are an important indicator reflecting the safety status of shield tunnels.
Inspired by the state‐of‐the‐art deep learning, a method for automatic intelligent …
Inspired by the state‐of‐the‐art deep learning, a method for automatic intelligent …
Recognizing multiple types of rocks quickly and accurately based on lightweight CNNs model
G Fan, F Chen, D Chen, Y Dong - IEEE Access, 2020 - ieeexplore.ieee.org
The recognition and classification of rock lithology is an extremely important task of
geological surveys. This paper proposes a new method for quickly identifying multiple types …
geological surveys. This paper proposes a new method for quickly identifying multiple types …
[HTML][HTML] Intelligent classification of surrounding rock of tunnel based on 10 machine learning algorithms
S Zhao, M Wang, W Yi, D Yang, J Tong - Applied Sciences, 2022 - mdpi.com
The quality evaluation of the surrounding rock is the cornerstone of tunnel design and
construction. Previous studies have confirmed the existence of a relationship between …
construction. Previous studies have confirmed the existence of a relationship between …
Research on intelligent identification of rock types based on faster R-CNN method
X Liu, H Wang, H Jing, A Shao, L Wang - Ieee Access, 2020 - ieeexplore.ieee.org
In the mining process of underground metal mines, the misjudgment of rock types by on-site
technicians will have a serious negative impact on the stability evaluation of rock mass and …
technicians will have a serious negative impact on the stability evaluation of rock mass and …