A comparative study of different machine learning algorithms in predicting EPB shield behaviour: a case study at the Xi'an metro, China

XD Bai, WC Cheng, G Li - Acta geotechnica, 2021 - Springer
Complex geological conditions and/or inappropriate shield tunnel boring machine (TBM)
operation can significantly degrade both the excavation and safety of tunnel construction. In …

Real-time prediction of shield moving trajectory during tunnelling

SL Shen, K Elbaz, WM Shaban, A Zhou - Acta Geotechnica, 2022 - Springer
This paper presents a novel deep learning model for real-time prediction of shield moving
trajectory during tunnelling. The proposed model incorporates a wavelet transform (WT) into …

Analysis of rockburst triggered by hard rock fragmentation using a conical pick under high uniaxial stress

S Wang, L Huang, X Li - Tunnelling and Underground Space Technology, 2020 - Elsevier
High excavation-induced stress concentration and strong mining/tunneling disturbance are
prominent conditions in deep excavations, and often present a coupled process to induce …

Shield machine position prediction and anomaly detection during tunnelling in loess region using ensemble and deep learning algorithms

XD Bai, WC Cheng, B Wu, G Li, DEL Ong - Acta Geotechnica, 2023 - Springer
Tunnelling in urban areas should be aware of deviations from the design tunnel axis,
referred to also as 'misalignment'. Significant misalignment can cause unfavourable soil …

Three-dimensional coupled numerical modelling of lab-level full-scale TBM disc cutting tests

B Jiang, GF Zhao, Q Gong, XB Zhao - Tunnelling and Underground Space …, 2021 - Elsevier
In this work, comprehensive numerical modelling was conducted on the full-scale linear
cutting test with a TBM disc cutter. Several numerical techniques, including local particle …

Global versus local simulation of geotechnical parameters for tunneling projects

JG Grasmick, MA Mooney… - … of Geotechnical and …, 2020 - ascelibrary.org
Urban soft-ground tunneling projects involve significant risks related to the spatial variability
and uncertainty in geotechnical parameters. However, standard practice typically does not …

Estimation of geotechnical parameters using Taguchi's design of experiment (DOE) and back analysis methods based on field measurement data: Case study: Tehran …

F Kolivand, R Rahmannejad - Bulletin of Engineering Geology and the …, 2018 - Springer
Estimation of geomechanical parameters is a challenging task in geotechnical engineering.
This paper aims to estimate the geotechnical parameters of soil layers in the Tehran Metro …

A probabilistic geostatistics-based approach to tunnel boring machine cutter tool wear and cutterhead clogging prediction

J Grasmick, M Mooney - Journal of Geotechnical and …, 2021 - ascelibrary.org
The application of geostatistical analyses of site investigation data for tunneling projects has
gained significant attention in the literature. While the proposed techniques are useful for …

Investigation of the influence of model control parameters on fracture characteristics of GPU parallel FDEM

W Wang, J Ren, K Liu, H Ma, P Liu, K Yuan - … and Geophysics for Geo …, 2023 - Springer
Surrounding rock mass fracture characteristics play a significant role in the understanding of
the CO2 geological storage and utilization (CGSU) engineering practices in abandoned …

An improved global zonation method for geotechnical parameters

XH Qi, HX Liu - Engineering geology, 2019 - Elsevier
Spatial prediction or interpolation of geotechnical parameters is a vital step in the designs or
reliability analyses of geotechnical structures. Existing studies involving spatial predictions …