• Title/Summary/Keyword: Tunnel boring machine

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Study on the Workability of Raise Boring Machine in Korea (국내 Raise Boring Machine의 굴착능력에 관한 연구)

  • 이석원;조만섭;배규진
    • Tunnel and Underground Space
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    • v.13 no.3
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    • pp.196-206
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    • 2003
  • In order to investigate the workability of Raise Boring Machine(RBM) such as utilization, penetration rate and advance rate, a vertical shaft of 98 m in length and 3.05 m in diameter was constructed in the layer of conglomerate by using the RBM in this study. In addition, field data from tow different construction sites including water-pump power plant tunnel, roadway tunnel and mining tunnel by RBM were collected and analyzed. The results show that the average weekly bored length is 19.3 m and its average utilization is between 54.3 % and 75.1 % very higher than that of the TBM(Tunnel Boring Machine). It also turns out that the bit force increases linearly with respect to the increase of the RPM(revolution per minute) of RBM. However, the net penetration rate decreases with the increase of bit force, RPM of RBM and depth of shaft. The findings of this study can be used to provide the useful information for the design of shaft and the selection of RBM.

Development of Flow Control Block for Hydraulic System of Tunnel Boring Machine (터널 굴착기 유압시스템용 유량 제어 블록 개발)

  • Lee, Jae-Dong;Lim, Sang-Jin
    • Journal of the Korean Society of Mechanical Technology
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    • v.20 no.6
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    • pp.929-935
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    • 2018
  • This paper develops a flow control block for a hydraulic system of a tunnel boring machine. The flow control block is a necessary component to ensure stability in the operation of the hydraulic system. In order to know the pressure distribution of the flow control block, the flow analysis was performed using the ANSYS-CFX. It was confirmed that the pressure and flow rate were normally supplied to the hydraulic system even if one of the four ports of the flow control block was not operated. In order to evaluate the structural stability of the flow control block, structural analysis was performed using the ANSYS WORKBENCH. As a result, the safety factor of the flow control block is 1.54 and the structural stability is secured.

Modelling for TBM Performance Prediction (TBM 굴진성능 예측을 위한 모델링)

  • 이석원;최순욱
    • Tunnel and Underground Space
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    • v.13 no.6
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    • pp.413-420
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    • 2003
  • Modelling for performance prediction of mechanical excavation is discussed in this paper. Two of the most successful performance prediction models, namely theoretical based CSM model and empirical based NTH model, are discussed and compared. The basic principles of rock cutting with disc cutters, especially Constant Cross Section cutters, are discussed and a theoretical model developed is introduced to provide an estimate of disc cutting forces as a function of rock properties and the cutting geometry. General modelling logic for the performance prediction of mechanical excavation is introduced. CSM computer model developed and currently used at the Earth Mechanics Institute(EMI) of the Colorado School of Mines is discussed. Example of input and output of this model is illustrated for the typical operation by Tunnel Boring Machine(TBM).

A Study on Starting Characteristic and Improvement for High Power Motor with Tunnel Boring Machine (TBM용 대용량 전동기의 기동 특성 및 개선 관한 연구)

  • Kim, Tae-Kue;An, Joon-Young
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.68 no.1
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    • pp.44-51
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    • 2019
  • Tunnel Boring Machine's Technology has depends mostly on imports, currently domestic technology development was proceeding. There are many technologies in this field, above all, the large-capacity motor drive technology required for excavation is one of the core technologies. In particular, when several large motors are simultaneously starting, there are many problems due to a large starting current at that time, and it is difficult to design and operate a power receiving facility. In this paper, A method of reducing the starting current by using the regenerative power generated by the deceleration of the motor has been studied. To verify this proposal, we designed the induction motor controller using CAE based power simulation tool and verified the results of the proposed method by applying the reduced model. As a result, it is possible to reduce the maximum starting current and shorten the start-up time. Moreover, even if several motors are connected to one bank, it is proved that the method can be efficiently operated by using the sequential braking / starting sequence. In the case of a power system in which a large capacity electric motor such as a tunnel excavation system is driven, the results of this study are expected to be a stable and effective method for solving the start-up current problem and designing the power receiving facility.

Prediction models of rock quality designation during TBM tunnel construction using machine learning algorithms

  • Byeonghyun Hwang;Hangseok Choi;Kibeom Kwon;Young Jin Shin;Minkyu Kang
    • Geomechanics and Engineering
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    • v.38 no.5
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    • pp.507-515
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    • 2024
  • An accurate estimation of the geotechnical parameters in front of tunnel faces is crucial for the safe construction of underground infrastructure using tunnel boring machines (TBMs). This study was aimed at developing a data-driven model for predicting the rock quality designation (RQD) of the ground formation ahead of tunnel faces. The dataset used for the machine learning (ML) model comprises seven geological and mechanical features and 564 RQD values, obtained from an earth pressure balance (EPB) shield TBM tunneling project beneath the Han River in the Republic of Korea. Four ML algorithms were employed in developing the RQD prediction model: k-nearest neighbor (KNN), support vector regression (SVR), random forest (RF), and extreme gradient boosting (XGB). The grid search and five-fold cross-validation techniques were applied to optimize the prediction performance of the developed model by identifying the optimal hyperparameter combinations. The prediction results revealed that the RF algorithm-based model exhibited superior performance, achieving a root mean square error of 7.38% and coefficient of determination of 0.81. In addition, the Shapley additive explanations (SHAP) approach was adopted to determine the most relevant features, thereby enhancing the interpretability and reliability of the developed model with the RF algorithm. It was concluded that the developed model can successfully predict the RQD of the ground formation ahead of tunnel faces, contributing to safe and efficient tunnel excavation.

A Study on Practical Problem Solving for Speed Ripple Rejection in TBM with Regenerative Startup (TBM 회생기동법에서의 속도리플 제거를 위한 실제적 문제 해결에 관한 연구)

  • Kim, TaeKue;Seo, JeongWon
    • Journal of Korea Society of Industrial Information Systems
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    • v.24 no.6
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    • pp.35-42
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    • 2019
  • In this paper, we analyze the practical problems of the regenerative start method proposed to improve the starting characteristics of the TBM(Tunnel boring machine)system and propose a solution. In order to solve the speed ripple problem in the previous research results, we first analyze the problems occurring in the system and propose a method to compensate for them. By applying the improved method to the actual system, we compared the results with the conventional system and verified the effect of the proposed method.

Electrical resistivity tomography survey for prediction of anomaly in mechanized tunneling

  • Lee, Kang-Hyun;Park, Jin-Ho;Park, Jeongjun;Lee, In-Mo;Lee, Seok-Won
    • Geomechanics and Engineering
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    • v.19 no.1
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    • pp.93-104
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    • 2019
  • Anomalies and/or fractured grounds not detected by the surface geophysical and geological survey performed during design stage may cause significant problems during tunnel excavation. Many studies on prediction methods of the ground condition ahead of the tunnel face have been conducted and applied in tunneling construction sites, such as tunnel seismic profiling and probe drilling. However, most such applications have focused on the drill and blast tunneling method. Few studies have been conducted for mechanized tunneling because of the limitation in the available space to perform prediction tests. This study aims to predict the ground condition ahead of the tunnel face in TBM tunneling by using an electrical resistivity tomography survey. It compared the characteristics of each electrode array and performed an investigation on in-situ tunnel boring machine TBM construction site environments. Numerical simulations for each electrode array were performed, to determine the proper electrode array to predict anomalies ahead of the tunnel face. The results showed that the modified dipole-dipole array is, compared to other arrays, the best for predicting the location and condition of an anomaly. As the borehole becomes longer, the measured data increase accordingly. Therefore, longer boreholes allow a more accurate prediction of the location and status of anomalies and complex grounds.

레이저를 병용한 암석의 굴삭

  • 이근철
    • 전기의세계
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    • v.26 no.3
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    • pp.5-12
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    • 1977
  • 본 논문에서는 어떻게 레이저의 절삭이 편암의 회전기굴삭에 병용될 수 있는가를 고찰하였다. 특히 레이저 절삭을 병용한 턴넬보오링머시인(tunnel boring machine)과 회전식발파공의 드릴링에 대하여 알아보았다.

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