[HTML][HTML] Real-time prediction of rock mass classification based on TBM operation big data and stacking technique of ensemble learning
S Hou, Y Liu, Q Yang - Journal of Rock Mechanics and Geotechnical …, 2022 - Elsevier
Real-time prediction of the rock mass class in front of the tunnel face is essential for the
adaptive adjustment of tunnel boring machines (TBMs). During the TBM tunnelling process …
adaptive adjustment of tunnel boring machines (TBMs). During the TBM tunnelling process …
Success and challenges in predicting TBM penetration rate using recurrent neural networks
Abstract Tunnel Boring Machines (TBMs) have been increasingly used in tunnelling
projects. Forecasting future TBM performance would be desirable for project time …
projects. Forecasting future TBM performance would be desirable for project time …
Prediction model of rock mass class using classification and regression tree integrated AdaBoost algorithm based on TBM driving data
Q Liu, X Wang, X Huang, X Yin - Tunnelling and Underground Space …, 2020 - Elsevier
The real-time acquisition of surrounding rock information is important for the efficient
tunneling and hazard prevention in tunnel boring machines (TBMs). This study presents an …
tunneling and hazard prevention in tunnel boring machines (TBMs). This study presents an …
An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity
The pile bearing capacity is considered as the most essential factor in designing deep
foundations. Direct determination of this parameter in site is costly and difficult. Hence, this …
foundations. Direct determination of this parameter in site is costly and difficult. Hence, this …
Tensile strength prediction of rock material using non-destructive tests: A comparative intelligent study
Tensile strength of rock plays a significant role in the design of tunnels and underground
engineering projects. Due to the inefficiency of direct method in determining rock tensile …
engineering projects. Due to the inefficiency of direct method in determining rock tensile …
[HTML][HTML] Real-time rock mass condition prediction with TBM tunneling big data using a novel rock–machine mutual feedback perception method
Z Wu, R Wei, Z Chu, Q Liu - Journal of Rock Mechanics and Geotechnical …, 2021 - Elsevier
Real-time perception of rock mass information is of great importance to efficient tunneling
and hazard prevention in tunnel boring machines (TBMs). In this study, a TBM–rock mutual …
and hazard prevention in tunnel boring machines (TBMs). In this study, a TBM–rock mutual …
Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance
A proper planning schedule for tunnel boring machine (TBM) construction is considered as a
necessary and difficult task in tunneling projects. Therefore, prediction of TBM performance …
necessary and difficult task in tunneling projects. Therefore, prediction of TBM performance …
Investigation of disc cutter wear during shield tunnelling in weathered granite: a case study
Wear characteristics of disc cutter can vary significantly during shield tunnelling in different
geological formations. This paper presents a case study on disc-cutter wear experienced …
geological formations. This paper presents a case study on disc-cutter wear experienced …
A novel combination of PCA and machine learning techniques to select the most important factors for predicting tunnel construction performance
J Wang, AS Mohammed, E Macioszek, M Ali, DV Ulrikh… - Buildings, 2022 - mdpi.com
Numerous studies have reported the effective use of artificial intelligence approaches,
particularly artificial neural networks (ANNs)-based models, to tackle tunnelling issues …
particularly artificial neural networks (ANNs)-based models, to tackle tunnelling issues …
Probabilistic analysis of the disc cutter failure during TBM tunneling in hard rock
D **, D Yuan, X Li, W Su - Tunnelling and Underground Space …, 2021 - Elsevier
TBM disc cutters used in a long-distance tunneling particularly in cutting through hard rock
would undergo substantial and intense wear. The cutting efficiency may greatly reduce and …
would undergo substantial and intense wear. The cutting efficiency may greatly reduce and …