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

2020 ◽  
Vol 10 (11) ◽  
pp. 3746
Author(s):  
Chao Liu ◽  
Zhuohua Peng ◽  
Liufeng Pan ◽  
Hai Liu ◽  
Yubing Yang ◽  
...  
Keyword(s):  
Earth Pressure ◽  
Bending Moment ◽  
Tunnel Boring Machine ◽  
Soil Arching ◽  
Tunnel Face ◽  
Element Analysis ◽  
Tunnel Boring ◽  
Supporting Pressure ◽  
Grouting Pressure ◽  
The Face

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. A comprehensive finite element analysis (FEA) is performed to simulate the URUP TBM tunneling, considering the non-uniform convergence caused by the TBM geometry, the tunnel face supporting pressure, and the tail-grouting pressure. The FEA model is validated by the monitoring results of the bending element of the first tunnel lining. The FEA results reveal that the grouting pressure of the second tunnel has significant influence on lining deformation of the first tunnel, while the face supporting pressure shows little effect. The relationship between the grouting pressure and the maximum bending moment of adjacent first tunnel can be fitted by linear function. A grouting pressure equals to the lateral earth pressure is able the reduce the variation of the bending element of the first tunnel during the TBM-driven process of the second tunnel. The bending element of the first tunnel shows a typical lognormal relationship with the face supporting pressure during the TBM advance of the second tunnel. A critical cover-to-depth ratio, under which the horizontal and vertical soil arching effect vanishes, can be deduced to be within the range of 0.55–0.60.

The effect of water seepage forces on the face stability of an experimental microtunnel

1993 ◽  
Vol 30 (2) ◽  
pp. 363-369 ◽  
Author(s):  
Frédéric Pellet ◽  
François Descoeudres ◽  
Peter Egger
Keyword(s):  
Three Dimensional ◽  
Field Measurements ◽  
Shallow Depth ◽  
Equilibrium Analysis ◽  
Soft Ground ◽  
Tunnel Face ◽  
Element Analysis ◽  
Face Stability ◽  
Supporting Pressure ◽  
The Face

The face heading stability of underground constructions remains quite difficult to assess, especially when groundwater is present. To investigate this, an experimental microtunnel was excavated at shallow depth in soft ground, below the water table. In agreement with field measurements of the piezometric level changes, a three-dimensional finite element analysis of groundwater flow shows that the head losses are concentrated in the close vicinity of the tunnel face. Both numerical equilibrium analysis and field measurements were used to show that the resulting seepage forces substantially increase the supporting pressure required to ensure face stability. Key words : microtunnel, shallow depth, soft ground, seepage forces, face stability, supporting pressure.

As-Encountered Prediction of Tunnel Boring Machine Performance Parameters using Recurrent Neural Networks

2020 ◽  
Vol 2674 (10) ◽  
pp. 241-249
Author(s):  
Kabir Nagrecha ◽  
Luis Fisher ◽  
Michael Mooney ◽  
Tonatiuh Rodriguez-Nikl ◽  
Mehran Mazari ◽  
...  
Keyword(s):  
Neural Networks ◽  
Recurrent Neural Networks ◽  
Precast Concrete ◽  
Earth Pressure ◽  
Tunnel Boring Machine ◽  
Operational Parameters ◽  
Pressure Balance ◽  
Tunnel Boring ◽  
Machine Performance ◽  
Earth Pressure Balance

The earth pressure balance tunnel boring machine (TBM) is advanced excavation machinery used to efficiently drill through subsurface ground layers while placing precast concrete tunnel segments. They have become prevalent in tunneling projects because of their adaptability, speed, and safety. Optimal usage of these machines requires information and data about the soil of the worksite that the TBM is drilling through. This paper proposes the utilization of artificial intelligence and machine learning, particularly recurrent neural networks, to predict the operational parameters of the TBM. The proposed model utilizes only performance data from excavation segments before the location of the machine as well as its current operating parameters to predict the as-encountered parameters. The proposed method is evaluated on a dataset collected during a tunneling project in North America. The results demonstrate that the model is effective in predicting operation parameters. To address the potential issue of gathering sufficient data to retrain the model, the possibility of transferring the trained model from one tunnel to another is tested. The results suggest that the model is capable of performing accurately with minimal or even no re-training.

scholarly journals Mining Hazards to the Safety of Segment Lining for Tunnel Boring Machine Inclined Tunnels

2022 ◽  
Vol 9 ◽  
Author(s):  
Hui Zhuo ◽  
Dan Xie ◽  
Jinglai Sun ◽  
Xiaomeng Shi
Keyword(s):  
Coal Seam ◽  
Coal Pillar ◽  
Bending Moment ◽  
Tunnel Boring Machine ◽  
Total Width ◽  
Support Structure ◽  
Tunnel Boring ◽  
Mining Hazards ◽  
New Type ◽  
Rock Beam

The segment lining is a new type of support structure for mining tunnels. The disturbance of coal excavation leads to the deformation of segment lining and has great hazards to the safety of the tunnels. Based on the tunnel boring machine (TBM) inclined tunnels in Xinjie mine, the ultimate span L0 of the rock beam on the top slab of the coal seam was calculated according to the bending (tension) damage theory. A numerical model was built to simulate the bottom area of the inclined tunnels. During the coal mining, the additional displacements and additional stresses of the segment lining were analyzed, and then the safety factors of the support structure were calculated. Finally, the width of the coal pillar to protect the inclined tunnels was determined. The results showed that the ultimate span of the rock beam on the top of the coal seam is 31.7 m, the deformation of the inclined tunnel has a fish-belly shape, and the deformation leads to the increase of maximum axial force and bending moment. For the inclined tunnels in Xinjie coalmine, a total width of 91.3 m of coal pillar must be reserved to keep the safety factor of the structure higher than 2.0 and prevent the inclined tunnels from the mining hazards.

An evaluation of generated source signals from machinery in conventional tunnelling and their possible application in a tunnel seismic while drilling (TSWD) system

2021 ◽  
Author(s):  
Irene Hartl ◽  
Ingrid Schlögel ◽  
Robert Wenighofer ◽  
Jakob Gallistl
Keyword(s):  
Construction Projects ◽  
Geophysical Methods ◽  
Tunnel Boring Machine ◽  
Tunnel Face ◽  
Pilot Signal ◽  
Noise Interference ◽  
Tunnel Boring ◽  
Working Face ◽  
Geological Conditions ◽  
Source Signal

<p>Geological conditions and their uncertainties are a major risk factor in underground construction projects. To ensure a fast, smooth and save completion of the excavation, a prediction of the geological conditions in front of the working face during tunnelling is a topic of great importance.</p><p>Various geophysical methods for a prediction of the conditions ahead of the tunnel face have been developed over the past years, yet, most of them being seismic techniques, which require a short interruption of the excavation to minimise noise interference. However, there is also the approach with TSWD which uses the working TBM (Tunnel Boring Machine) as a source signal and can thus work simultaneously with the excavation. Up to now, this concept has been applied primarily in mechanised tunnelling and there are hardly any applications in conventional tunnelling.</p><p>In the course of several practical experiments at the “Zentrum am Berg” in Eisenerz (Austria), different concepts for a transfer of TSWD from mechanised to conventional tunnelling were developed and tested at scale in an underground research facility. Three machines were used for these tests, an excavator with a hydraulic hammer attached as well as two different drilling jumbos. The devices were equipped with an accelerometer to pick up the source signal at its origin (pilot signal). Different sensor positions were tested using a sledge hammer as a source and evaluated in detail. Moreover, omnidirectional geophones of different sensitivities (4.5 Hz and 27 Hz) were tested and compared as transducers in the adjacent rock mass.</p><p>An essential part of the experiment analysis consisted of the evaluation of the source characteristics as well as the generated spectral bandwidth of the source signal from typical construction machines in conventional tunnelling. Consequently, the outcomes will be another step forward in the development of a TSWD exploration system also applicable to conventional tunnelling projects.</p>

Ground conditioning for earth pressure balance machine tunneling

2001 ◽  
Vol 7 (1) ◽  
pp. 3-11
Author(s):  
Christoph Michael Goss
Keyword(s):  
Earth Pressure ◽  
Tunnel Boring Machine ◽  
Soft Ground ◽  
Pressure Balance ◽  
Machine Method ◽  
Tunnel Boring ◽  
Ground Modification ◽  
Earth Pressure Balance ◽  
Earth Pressure Balance Machine

Abstract The objective of this paper is to provide insight to the application of state-of-the-art ground modification technology for Earth Pressure Balance (EPB) soft ground tunneling. The paper reflects data from a wide array of sources including conference proceedings, trade journal articles, manufacturer publications, books and personal experience. The paper first introduces the concept of soft ground tunneling and then discusses the Earth Pressure Balance Tunnel Boring Machine method. The bulk of the paper is spent discussing ground-conditioning agents, particularly foam. Use of, quantities, theory behind them, environmental impact, lab testing, and effects of foams are described. The paper concludes with a brief case study of the Sheppard Subway Twin Tunnels in Toronto, Canada. Attached to the paper is a comprehensive literature search on EPB tunneling, particularly with regards to foam use.

An interpretation of ground movements recorded during construction of the Donkin-Morien tunnel

1991 ◽  
Vol 28 (2) ◽  
pp. 239-254 ◽  
Author(s):  
F. Pelli ◽  
P. K. Kaiser ◽  
N. R. Morgenstern
Keyword(s):  
Three Dimensional ◽  
Back Analysis ◽  
Tunnel Boring Machine ◽  
Laboratory Measurements ◽  
Tunnel Face ◽  
Tunnel Boring ◽  
Deformation Properties ◽  
Dimensional Finite Element ◽  
Strength And Deformation ◽  
Three Dimensional Finite Element

A tunnel excavated by a tunnel boring machine was monitored extensively by means of extensometers installed near the tunnel face. Consequently, the three-dimensional state existing at the time of installation must be considered for the interpretation of the monitoring data. Results from three-dimensional finite element simulations are used to back-calculate rock mass strength and deformation properties. The purpose of this study was to establish and test various approaches of back-analysis. Results are compared with field and laboratory measurements. On the basis of these analyses, the paper provides guidance on how field data can be used for back-analysis purposes even when the ground behaves in a nonelastic manner. Key words: tunnelling, monitoring, tunnel boring, back-analysis, nonlinearity.

Fatigue Reliability and Optimal Design Research of TBM Cutter

2011 ◽  
Vol 328-330 ◽  
pp. 18-21
Author(s):  
Zhao Qian Wang ◽  
Tian Biao Yu ◽  
Ye Zou ◽  
Chang Xin Wang ◽  
Hai Feng Zhao ◽  
...  
Keyword(s):  
Design Research ◽  
Tunnel Boring Machine ◽  
Soil Conditions ◽  
Fatigue Reliability ◽  
Element Analysis ◽  
Tunnel Boring ◽  
Actual Design ◽  
Cad Models ◽  
Product Manufacturing ◽  
Tbm Cutter

Tools of tunnel boring machine CAD models have been built by CAD software, it is analyzed static characteristics and fatigue characteristics by finite element analysis and obtaining the displacement in the poor stiffness conditions. Improving its structure to strengthen stiffness and fatigue life by the calculate result. The final result shows that the structure can satisfy its rigid command and can fit the soil conditions above 5%-10%. Damage frequency of tools is greatly deduced. It provides a theoretical basis for the actual design and product manufacturing.

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