Cross-project utilisation of tunnel boring machine (TBM) construction data: A case study using big data from Yin-Song diversion project in China
The variation in Tunnelling boring machine (TBM) equipment and geological information of
tunnels result in substantial differences in real-time TBM tunnelling data. This variation …
tunnels result in substantial differences in real-time TBM tunnelling data. This variation …
Cross-project prediction for rock mass using shuffled TBM big dataset and knowledge-based machine learning methods
YP Zhang, ZY Chen, F Jin, LJ Jing, H Xing… - Science China …, 2023 - Springer
Extensive research has confirmed the successful prediction of rock mass quality in tunnel
boring machine (TBM) construction using machine learning methods based on big data …
boring machine (TBM) construction using machine learning methods based on big data …
[HTML][HTML] Advanced prediction of tunnel boring machine performance based on big data
Predicting the performance of a tunneling boring machine is vitally important to avoid any
possible accidents during tunneling boring. The prediction is not straightforward due to the …
possible accidents during tunneling boring. The prediction is not straightforward due to the …
[HTML][HTML] Feedback on a shared big dataset for intelligent TBM Part I: Feature extraction and machine learning methods
This review summarizes the research outcomes and findings documented in 45 journal
papers using a shared tunnel boring machine (TBM) dataset for performance prediction and …
papers using a shared tunnel boring machine (TBM) dataset for performance prediction and …
A data-driven framework for tunnel geological-type prediction based on TBM operating data
One main challenge in tunnel constructions is to predict the tunnel geological conditions
without excavation to ensure safety during the construction process. This paper proposes a …
without excavation to ensure safety during the construction process. This paper proposes a …
Diagnosing tunnel collapse sections based on TBM tunneling big data and deep learning: A case study on the Yinsong Project, China
Z Chen, Y Zhang, J Li, X Li, L Jing - Tunnelling and Underground Space …, 2021 - Elsevier
Abstract The Yinsong Water Diversion Project in China's northeast region contains a 20 km
long tunnel section, which was drilled by a tunnel boring machine (TBM) and monitored in …
long tunnel section, which was drilled by a tunnel boring machine (TBM) and monitored in …
Prediction of geological conditions for a tunnel boring machine using big operational data
Q Zhang, Z Liu, J Tan - Automation in Construction, 2019 - Elsevier
This paper presents a comprehensive procedure to predict geological conditions (ie, rock
mass types) for a tunneling boring machine (TBM) based on big operational data including …
mass types) for a tunneling boring machine (TBM) based on big operational data including …
[HTML][HTML] Feedback on a shared big dataset for intelligent TBM Part II: Application and forward look
This review discusses the application scenarios of the machine learning-supported
performance prediction and the optimization efficiency of tunnel boring machines (TBMs) …
performance prediction and the optimization efficiency of tunnel boring machines (TBMs) …
Prediction of TBM cutterhead speed and penetration rate for high-efficiency excavation of hard rock tunnel using CNN-LSTM model with construction big data
Cutterhead speed and penetration rate are two key operating parameters that hard-rock
tunnel boring machine (TBM) operators control to minimize the risks associated with high …
tunnel boring machine (TBM) operators control to minimize the risks associated with high …
An integrated parameter prediction framework for intelligent TBM excavation in hard rock
The adjustment of TBM operational parameters with regard to different strata significantly
affects the safety, time and cost in tunnel construction. To assist TBM operation, this paper …
affects the safety, time and cost in tunnel construction. To assist TBM operation, this paper …