Solid grain migration on hydraulic properties of fault rocks in underground mining tunnel: Radial seepage experiments and verification of permeability prediction

D Ma, H Duan, J Zhang - Tunnelling and Underground Space Technology, 2022 - Elsevier
When fault fracture zones are encountered in the mining tunnel excavation, the water-
conducting pathway is easily formed by the granular structure of the broken surrounding …

Numerical simulation of water–silt inrush hazard of fault rock: a three-phase flow model

D Ma, H Duan, J Zhang, X Liu, Z Li - Rock Mechanics and Rock …, 2022 - Springer
Fault rock is a typical hazardous material of water–silt inrush during the excavation in
underground mines. To investigate hydraulic characteristics of fault rock during the water …

Investigation on the phenomena and influence factors of urban ground collapse in China

XW Wang, YS Xu - Natural Hazards, 2022 - Springer
Urban ground collapse (UGC) is becoming more common in China, resulting in significant
socioeconomic losses and even personal casualties. The frequency of UGC accidents is …

[HTML][HTML] Prediction of disc cutter life during shield tunneling with AI via the incorporation of a genetic algorithm into a GMDH-type neural network

K Elbaz, SL Shen, A Zhou, ZY Yin, HM Lyu - Engineering, 2021 - Elsevier
Disc cutter consumption is a critical problem that influences work performance during shield
tunneling processes and directly affects the cutter change decision. This study proposes a …

Material properties of the seal gasket for shield tunnels: A review

C Yang, SL Shen, DW Hou, SM Liao… - Construction and Building …, 2018 - Elsevier
This paper reviews the material properties of the seal gaskets of shield tunnels. In order to
understand the function of sealing gaskets, the significance and structure of gaskets in …

Application of LSTM approach for modelling stress–strain behaviour of soil

N Zhang, SL Shen, A Zhou, YF ** - Applied Soft Computing, 2021 - Elsevier
This paper presents a new trial to reproduce soil stress–strain behaviour by adapting a long
short-term memory (LSTM) deep learning method. LSTM is an approach that employs time …

Soil-tunnel interaction modelling for shield tunnels considering shearing dislocation in longitudinal joints

HN Wu, SL Shen, J Yang, A Zhou - Tunnelling and Underground Space …, 2018 - Elsevier
The existing longitudinal structural model of shield tunnels usually simplify the tunnel as a
Euler-Bernoulli beam on elastic foundation, which ignores the shearing dislocation between …

Failure analysis and treatments of a loess tunnel being constructed in ground fissure area

E Ma, J Lai, S Xu, X Shi, J Zhang, Y Zhong - Engineering Failure Analysis, 2022 - Elsevier
Tunnelling in ground fissure areas is prone to collapse even with reasonable reinforcement.
Based on the collapse of a tunnel in **'an Metro Line 3 near a ground fissure, potential …

Measurement and prediction of tunnelling-induced ground settlement in karst region by using expanding deep learning method

N Zhang, A Zhou, Y Pan, SL Shen - Measurement, 2021 - Elsevier
This paper presents the measurement and prediction of the tunnelling-induced surface
response in karst ground, Guangzhou, China. A predictive method of ground settlement is …

Estimation of bearing capacity of piles in cohesionless soil using optimised machine learning approaches

N Kardani, A Zhou, M Nazem, SL Shen - Geotechnical and Geological …, 2020 - Springer
Accurate estimation of the bearing capacity of piles requires complex modelling techniques
which are not justified by timeframe, budget, or scope of the projects. In this study, six …