Results 11 to 20 of about 1,971,138 (125)

Influence of Tunnel Boring Machine (TBM) Advance on Adjacent Tunnel during Ultra-Rapid Underground Pass (URUP) Tunneling: A Case Study and Numerical Investigation

Applied Sciences, 2020
This study investigates the influence of subsequent tunnel boring machine (TBM)-driven processes on the responses of the first tunnel in twin-tunnel construction using the ultra-rapid underground pass (URUP) method.
Chao Liu, Zhuohua Peng, Liufeng Pan, Hai Liu, Yubing Yang, Weiyun Chen, Huaqin Jiang   +6 more
doaj   +2 more sources

Model-based offline reinforcement learning framework for optimizing tunnel boring machine operation

Underground Space
Research on automation and intelligent operation of tunnel boring machine (TBM) is receiving more and more attention, benefiting from the increasing construction data.
Yupeng Cao, Wei Luo, Yadong Xue, Weiren Lin, Feng Zhang   +4 more
doaj   +2 more sources

Feedback on a shared big dataset for intelligent TBM Part I: Feature extraction and machine learning methods

Underground Space, 2023
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 boring efficiency optimization using machine learning methods. The big dataset was
Jian-Bin Li, Zu-Yu Chen, Xu Li, Liu-Jie Jing, Yun-Pei Zhangf, Hao-Han Xiao, Shuang-Jing Wang, Wen-Kun Yang, Lei-Jie Wu, Peng-Yu Li, Hai-Bo Li, Min Yao, Li-Tao Fan   +12 more
doaj   +1 more source

A Geometric Model for a Shield TBM Steering Simulator

Applied Sciences, 2023
This study aimed to simulate curved excavation using a tunnel boring machine (TBM) steering system based on the proposed mathematical methodology applied in a TBM simulator.
Byungkwan Park, Soon-Wook Choi, Chulho Lee, Tae-Ho Kang, Seungchul Do, Woon-Yong Lee, Soo-Ho Chang   +6 more
doaj   +1 more source

Soft ground tunnel lithology classification using clustering-guided light gradient boosting machine

Journal of Rock Mechanics and Geotechnical Engineering, 2023
During tunnel boring machine (TBM) excavation, lithology identification is an important issue to understand tunnelling performance and avoid time-consuming excavation.
Kursat Kilic, Hajime Ikeda, Tsuyoshi Adachi, Youhei Kawamura   +3 more
doaj   +1 more source

Applications of Machine Learning in Mechanised Tunnel Construction: A Systematic Review

Eng, 2023
Tunnel Boring Machines (TBMs) have become prevalent in tunnel construction due to their high efficiency and reliability. The proliferation of data obtained from site investigations and data acquisition systems provides an opportunity for the application ...
Feng Shan, Xuzhen He, Haoding Xu, Danial Jahed Armaghani, Daichao Sheng   +4 more
doaj   +1 more source

A Study of Vibration Reduction Effects of TBM and NATM Parallel Construction Methods according to Tunnel Depth and Size

Applied Sciences, 2023
The new Austrian tunnelling method (NATM) and tunnel boring machine (TBM) are methods for excavating underground spaces. The NATM construction method has noise and vibration problems, and excavation using TBM has the disadvantage of high initial cost and
Suk-Min Kong, Yoseph Byun, Sang-Il Choi, Chang-Yong Kim, Seong-Won Lee   +4 more
doaj   +1 more source

Analysis of Stability and Required Offset with Vibration Velocity Considering Conditions of Bedrock and Explosive Charges Using the TBM and NATM Extension Blasting Method

Applied Sciences, 2022
The development of underground spaces in urban centers has attracted significant research attention. Typical excavation methods for underground spaces in urban areas include the New Austrian tunneling method (NATM) and the tunnel boring machine (TBM ...
Suk-Min Kong, Ah-Ram Kim, Yoseph Byun, Seungbo Shim, Sang-Il Choi, Seong-Won Lee   +5 more
doaj   +1 more source

Vibrations induced by tunnel boring machines in urban areas: Dataset of synchronized in-situ measurements inside the shield and on the surface

Data in Brief, 2022
In order to evaluate the potential impact of the shallow tunnel excavation by a tunnel boring machine (TBM) in urban areas, the authors present original in-situ measurements of vibrations inside the TBM and simultaneously on the surface.
Antoine Rallu, Nicolas Berthoz
doaj   +1 more source

Modeling of Tunnel Boring Machine Performance Employing Random Forest Algorithm

, 2023
Prediction of tunnel boring machine (TBM) performance is still a challenging research subject in engineering geology, geotechnical engineering, and tunnel engineering communities.
Gökçeoğlu,Candan, Aladağ, Çağdaş Hakan, Bal, Çağatay   +2 more
core   +2 more sources