• Title/Summary/Keyword: Tunnel design and construction data

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IFC-based Interperable information modeling of tunnel monitoring (상호운용성 확보를 위한 IFC 기반의 터널 계측 정보 모델링)

  • An, Hyun-Jung;Yi, Jin-Hoon;Kim, Hyo-Jin;Lee, Sang-Ho
    • 한국방재학회:학술대회논문집
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    • 2008.02a
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    • pp.613-616
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    • 2008
  • This study presents an IFC-based information model for standardized and integrated information management system of tunnel monitoring. Information items of tunnel monitoring were extracted from the Tunnel Design Standard of Ministry of Construction and Transportation. Then, the information items were compared with components of IFC 2x Edition3 model. Two main entities are added into the IFC model for generic representing of monitoring devices and data. IfcMonitoringElement which is composed of IfcMonitoringLogger and IfcMonitorinSensor is proposed to represent physical information of data loggers and sensors, and relationship between data logger and sensors. Besides, as an additional resource of IFC model, IfcMonitoringData is provided to express measured data from sensors and warning histories.

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A case histories on the detection of weak zone using electrical resistivity and EM surveys in planned tunnel construction site (터널 건설 예정지구에서의 전기비저항 탐사와 전자탐사의 적용을 통한 연약대 탐지에 대한 사례 연구)

  • 권형석;송윤호;이명종;정호준;오세영;김기석
    • Proceedings of the Korean Geotechical Society Conference
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    • 2002.03a
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    • pp.63-70
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    • 2002
  • In tunnel construction, the information on the rock quality and the location of fault or fracture are crucial for economical design of support pattern and for safe construction of the tunnel. The grade of rock is commonly estimated through the observation with the naked eye of recovered cores in drilling or from physical parameters obtained by their laboratory test. Since drilling cost is quite expensive and terrains of planned sites for tunnel construction are rough in many cases, however, only limited information could be provided by core drilling Electrical resistivity and EM surveys may be a clue to get over this difficulty. Thus we have investigated electrical resistivity and EM field data providing regional Information of the rock Quality and delineating fault and fracture over a rough terrain. In this paper, we present some case histories using electrical resistivity and EM survey for the site investigation of tunnel construction. Through electrical resistivity and EM survey, the range and depth of coal seam was clearly estimated, cavities were detected in limestone area, and weak zones such as joint, fault and fracture have been delineated.

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Site Application of Artificial Neural Network for Tunnel Construction (인공신경망을 이용한 터널시공에서 현장 적용성)

  • Song, Joohyeon;Chae, Hwiyoung;Chun, Byungsik
    • Journal of the Korean GEO-environmental Society
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    • v.13 no.8
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    • pp.25-33
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    • 2012
  • Although it is important to reflect the accurate information of the ground condition in the tunnel design, the analysis and design are conducted by limited information because it is very difficult to consider various geographies and geotechnical conditions. When the tunnel is under construction, examination of accurate safety and prediction of behavior are overcome the limits of predicting behavior by Artificial Neural Network in this study. First, construct the suitable structure after the data of field was made sure by the multi-layer back propagation, then apply with algorithm. Employ the result of measured data from database, and consider the influence factor of tunnel, like supporting pattern, RMR, Q, the types of rock, excavation length, excavation shape, excavation over, to carry out the reliable analysis through field applicability of Artificial Neural Network. After studying, using the ANN model to predict the shearing displacement, convergence displacement, underground displacement, Rock bolt output follow the excavation over of tunnel construction field, then determine the field applicability with ANN through field measured value and comparison analysis when tunnel is being constructed.

Stability Estimation of NATM Tunnel due to Excavation using Back Analysis (역해석기법을 통한 NATM 터널의 안정성 평가)

  • Lee, Jae-Ho;Kim, Young-Su;Jin, Guang-Ril;Park, Jin-Kyu;Park, Si-Hyun;Choi, Chil-Yong
    • Proceedings of the Korean Geotechical Society Conference
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    • 2008.03a
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    • pp.494-504
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    • 2008
  • Successful design, construction and maintenance of NATM tunnel demands prediction, control, stability estimation and monitoring of surface settlement, gradient and ground displacement with high accuracy. Back analysis using measured data and forward analysis have been and are indispensable tools to achieve this goal. Sakurai provided the hazard warning levels for assessing the stability of tunnels using the relation of critical strain and apparent Young's modulus. This paper performed the estimation of tunnel stability on construction. Firstly, the apparent Young's modulus concept and back analysis method is introduced for the assessment of tunnel safety during excavation a brief framework. Secondly, this paper deals with case study using "Apparent Young's modulus" and "Back analysis" for the purpose of estimating the stability of NATM tunnel in Korea. Finally, a general method that can be estimated the tunnel stability discussed by a flow chart.

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Analysis on Downtime element of Gripper TBM based on field data (현장 데이터 분석을 통한 Gripper TBM의 Downtime 요소 분석)

  • Park, Jinsoo;Song, Ki-Il
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.23 no.6
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    • pp.393-402
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    • 2021
  • The first TBM introduced in Korea was the gripper TBM, which was applied to the Gudeok Waterway Tunnel in 1985. In the initial stage of the introduction of the gripper TBM, many applications were mainly focused on waterway tunnels (Tunnel Mechanized Construction Design, 2008). Currently, the construction range of gripper TBM in Korea is widely applied to not only waterway tunnels, but also subways, railway tunnels, and TBM+NATM expansion. Overseas, gripper TBM is generally applied, and even when NATM tunnel is applied, it is applied as an exploration tunnel because of the excellent advance rate of gripper TBM and used as an evacuation tunnel after completion. Due to the fast excavation speed, the application of the gripper TBM in the rock section of weathered rock or higher can minimize the environmental and civil complaints caused by creating a large number of work areas when planning long tunnels or mountain tunnels. In this study, the work process of the general gripper TBM was analyzed by analyzing the construction cycle and the gripper TBM with a diameter of 2.6~5.0 m, which was applied the most in Korea. Downtime was investigated and analyzed.

Tunable compression of wind tunnel data

  • Possolo, Antonio;Kasperski, Michael;Simiu, Emil
    • Wind and Structures
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    • v.12 no.6
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    • pp.505-517
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    • 2009
  • Synchronous wind-induced pressures, measured in wind-tunnel tests on model buildings instrumented with hundreds of pressure taps, are an invaluable resource for designing safe buildings efficiently. They enable a much more detailed, accurate representation of the forces and moments that drive engineering design than conventional tables and graphs do. However, the very large volumes of data that such tests typically generate pose a challenge to their widespread use in practice. This paper explains how a wavelet representation for the time series of pressure measurements acquired at each tap can be used to compress the data drastically while preserving those features that are most influential for design, and also how it enables incremental data transmission, adaptable to the accuracy needs of each particular application. The loss incurred in such compression is tunable and known. Compression rates as high as 90% induce distortions that are statistically indistinguishable from the intrinsic variability of wind-tunnel testing, which we gauge based on an unusually large collection of replicated tests done under the same wind-tunnel conditions.

Study on key safety hazards and risk assessments for small section utility tunnel in urban areas (도심지 소단면 터널식 공동구의 핵심 안전 위험요소 및 위험성 평가 연구)

  • Seong, Joo-Hyun;Jung, Min-Hyung
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.20 no.6
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    • pp.931-946
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    • 2018
  • In line with the increased usability of utility pipe conduits in urban areas, construction and R&D activities of utility tunnel, incorporated with the shield TBM method, are actively under way. The utility tunnels are installed through underground excavation, and thus are relatively weak in terms of construction safety. However, hazards associated with the utility tunnel construction have not been properly identified, despite the introduction of a policy to the 'Design for Safety' for the purpose of reducing accident rates in the construction industry. Therefore, in this study, following the derivation of hazards associated with utility tunnel, these hazards were then used as the basis to uncover key safety hazards requiring extensive management in a field, which were then used to conduct a risk assessment having applied the matrix method so that the results can be utilized in risk assessment during the stages of utility tunnel planning, design, and construction, while also serving as a data reference.

Characteristics and Development of Database Program for Maintenance and Management of Railway Tunnel (철도터널의 유지관리 DB 프로그램 개발 및 특성)

  • Lee, Song;Koo, Ja-Kap;Shim, Min-Bo
    • Journal of the Korean Society for Railway
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    • v.3 no.3
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    • pp.139-146
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    • 2000
  • Recently, many kinds of research have been actively developing for a standardization and information to the field of design, construction, supervision, maintenance and management on facilities. The establishment of standard classification system on tunnel facilities and inspection data is most important among the things to have a efficiently maintenance and management. This paper suggests standard classification system on tunnel facilities and inspection data, and, on the basis of that, code work with standard classification system and input work was practised. The purpose of this paper is to suggest a kind of statistics data and investigate a characteristics of inspection using statistic data on railway tunnel.

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Stress and strain state in the segmental linings during mechanized tunnelling

  • Do, Ngoc-Anh;Oreste, Pierpaolo;Dias, Daniel;Antonello, Croce;Djeran-Maigre, Irini;Livio, Locatelli
    • Geomechanics and Engineering
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    • v.7 no.1
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    • pp.75-85
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    • 2014
  • The application of the mechanized tunnelling has been extended in recent years. There are at present different approaches that are used in the design of segmental tunnel linings supported in mechanized tunnels. Even though segmental lining is utilized for mechanized tunnels, its behaviour is still quite unclear under in situ stress and there is a lack of data regarding the distribution of stresses inside segmental linings. So far no single effective calculation method exists for segmental lining design. The lack of clear solutions makes the use of segmental lining to be more expensive due to the adoption of greater safety factors. Therefore, a particular attention must be given in order to obtain data from monitored tunnels which permits to validate design methods. In this study, strain measurements, which were conducted during the construction of twin tunnels in the Bologna-Florence railway line, have been presented. The behaviour of segmental lining during the excavation and the influence of a new tunnel excavation on an existing tunnel have been shown through the measured data. The data are then compared with the results obtained with Einstein and Schwartz's method and Duddeck and Erdmann's method, which permits to highlight the fact that the two analytical methods underestimate structural forces induced in the segmental lining and then must be used with caution.

A Basic Study on the Prediction of Collapse of Tunnels Using Artificial Neural Network (인공신경망 기법을 이용한 터널 붕괴 예측에 관한 기초 연구)

  • Kim, Hong-Heum;Lim, Heui-Dae
    • Journal of the Korean Geotechnical Society
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    • v.32 no.2
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    • pp.5-17
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    • 2016
  • Collapse of a tunnel can occur anytime, anywhere due to the special characteristics of tunnel structures and unexpected geological conditions during construction. Tunnel collapse will lead to economic losses and casualties. So various studies are continually being conducted to prevent economic losses, casualties and accidents. In this study, we analyzed data from 56 domestic construction tunnel collapse sites, and input factors to be applied to the artificial neural network were selected by the sensitivity analysis. And for the artificial neural network model design studies were carried out with the selected input factors and optimized ANN model to predict the type of tunnel collapse was determined. By using it, in 12 sites where tunnel collapse occurred applicability evaluation was conducted. Thus, the tunnel collapse type predictability was verified. These results will be able to be used as basic data for preventing and reinforcing collapse in the tunnel construction site.