Results 41 to 50 of about 1,971,138 (125)

Investigation on hard‐rock breaking performance and auxiliary mechanism of picks assisted with both‐sided high‐pressure water jets

Deep Underground Science and Engineering, Volume 5, Issue 2, Page 581-596, June 2026.
This paper investigates the high‐pressure water jet‐pick combined rock‐breaking mode (HPC), which employs high‐pressure water jets to precut grooves on both sides of the picks. The rock‐breaking patterns and performance of the HPC method are obtained, and the auxiliary rock‐breaking mechanism of water jet grooving is revealed.
Jingjing Lu, Jiancheng Xiao, Hui Zhou, Xiao Ma, Congcong Hou, Jian Cui, Fujian Yang   +6 more
wiley   +1 more source

Random finite element analysis on ground subsidence caused by tunnel excavation in karst regions with spatial variable soil

Deep Underground Science and Engineering, Volume 5, Issue 2, Page 615-632, June 2026.
This study investigates ground subsidence during tunnel excavation in karst areas, highlighting the combined effects of karst cave proximity, cave size, and soil spatial variability. Findings suggest that shorter cave distances and larger cave sizes increase subsidence variability, and a modified Peck formula is proposed for more accurate subsidence ...
Zhenghong Su, Yong Fu, Miaomiao Sun, Kailin Ding, Ying Zhao   +4 more
wiley   +1 more source

Lessons Learned From Using Simple Supervised Learning Tools on Small‐Ensemble Data—Applicability to Tunnel Design and Monitoring

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 8, Page 3397-3411, 10 June 2026.
ABSTRACT Integrating interdisciplinary strategies with artificial intelligence (AI), particularly machine learning (ML), is an effective way of addressing urgent engineering challenges. Therefore, a thorough evaluation of existing methodologies is essential, taking into account their respective strengths, limitations and opportunities.
Lina‐María Guayacán‐Carrillo, Jean‐Michel Pereira, Jean Sulem   +2 more
wiley   +1 more source

Advancing TBM Performance: Integrating Shield Friction Analysis and Machine Learning in Geotechnical Engineering

Geotechnics
The Ylvie model is a novel method towards transparent Tunnel Boring Machine (TBM) data analysis for tunnel construction. The model innovatively applies machine learning to automate friction loss computation per stroke, enhancing TBM performance ...
Marcel Schlicke, Helmut Wannenmacher, Konrad Nübel   +2 more
doaj   +1 more source

Theoretical prediction of wear of disc cutters in tunnel boring machine and its application

Journal of Rock Mechanics and Geotechnical Engineering, 2019
Predicting the cutter consumption and the exact time to replace the worn-out cutters in tunneling projects constructed with tunnel boring machine (TBM) is always a challenging issue.
Zhaohuang Zhang, Muhammad Aqeel, Cong Li, Fei Sun   +3 more
doaj   +1 more source

Underpassing of Angel Underground by London ring main extension tunnel [PDF]

, 2011
This paper presents the predictions of movements, monitoring methods and measured movements of the Angel Station Upper Escalator and the Northern Line London Underground tunnels during tunnelling for the Thames Water Ring Main Extension Stoke Newington ...
Jones, Benoît
core  

Investigation of the failure characteristics of fissure tunnels under dynamic and static combinations

Deep Underground Science and Engineering, Volume 5, Issue 1, Page 43-55, March 2026.
This article aims to investigate the dynamic fracture response of fractured tunnel models under zero geological stress through physical experiments and numerical simulations. It further simulates the dynamic fracture characteristics of fractured tunnel models under geological stress ranging from 0 to 2.5 MPa using the numerical software AUTODYN ...
Peng Ying, Yu Ying, Xiaohan Li, Han Zhao, Kewei Yu, Zheming Zhu, Lei Zhou, Xibin Li   +7 more
wiley   +1 more source

Risk Assessment of TBM Construction Based on a Matter-Element Extension Model with Optimized Weight Distribution

Applied Sciences
In order to effectively address the potential hazards associated with the construction of Phase II of the YE Water Supply Project’s KS tunnel in Xinjiang, this study employs the WBS-RBS (Work Breakdown Structure and Risk Breakdown Structure) method for ...
Tao Fu, Kebin Shi, Renyi Shi, Zhipeng Lu, Jianming Zhang   +4 more
doaj   +1 more source

Soft ground micro TBM jack speed and torque prediction using machine learning models through operator data and micro TBM-log data synchronization

Scientific Reports
Tunnel Boring Machines (TBMs) are pivotal in underground projects like subways, highways, and water supply tunnels. Predicting and monitoring jack speed and torque is crucial for optimizing TBM excavation efficiency.
Kursat Kilic, Owada Narihiro, Hajime Ikeda, Tsuyoshi Adachi, Youhei Kawamura   +4 more
doaj   +1 more source

The Impact of Soil Anisotropy on Surface Settlements Induced by Tunnelling: A Revealing Parametric Study and Nomogram Development to Improve Modelling Practice

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 2, Page 1218-1228, 10 February 2026.
ABSTRACT Natural soils often exhibit clearly anisotropic mechanical properties, yet this characteristic is frequently overlooked in numerical models due to the practical challenges of determining anisotropic parameters. As a result, the influence of anisotropy remains difficult to anticipate, and engineers have limited tools to incorporate it into ...
Abdelilah Errahali, Emmanuel Bourgeois, Thibault Badinier, Alain Le Kouby   +3 more
wiley   +1 more source