• Title/Summary/Keyword: Utility Tunnel

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Snow Tunnelling Project at the South Pole (남극 극지점 기지에서의 얼음 터널 프로젝트)

  • 지왕률
    • Tunnel and Underground Space
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    • v.13 no.1
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    • pp.1-5
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    • 2003
  • The United States Antarctic program (USAP) through its principal Support Contractor Raytheon polar Services Co. (RPSC), has recently finished a 3 years projects, almost 936m length of underground utility tunnels at Amundsen-Scott station. It accommodates the piping that conveys fresh water from current well sites, as well as waste water to repositories in abandoned wells. The under snow tunnels allow year-round access for system operations and maintenance.

Structural Behavior of Polymer Concrete Bos Girders (폴리머콘크리트 박스 거어더의 구조적 거동)

  • 연규석;김광우;이윤수;김성순
    • Proceedings of the Korea Concrete Institute Conference
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    • 1993.10a
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    • pp.213-219
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    • 1993
  • The box girder was developed using polymer concrete, box girder were made for flexural behavior evaluation. The box girder was reinforced with reinforcing steel bars and fiber glass roving cloths. Failure loads were 13.5 tons and 16.6tons for steel reinforced girder and fiber glass reinforced girder, respectively. Especially for the fiber glass reinforced girder, the shape was not changed even after failure. It is expected that application of this idea will be useful for developing under ground box, girder, utility tunnel, small stream bridge box, etc.

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Development of a Deep Learning-based Fire Extinguisher Object Detection Model in Underground Utility Tunnels (딥러닝 기반 지하 공동구 내 소화기 객체 탐지 모델 개발)

  • Sangmi Park;Changhee Hong;Seunghwa Park;Jaewook Lee;Jeongsoo Kim
    • Journal of the Society of Disaster Information
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    • v.18 no.4
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    • pp.922-929
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    • 2022
  • Purpose: The purpose of this paper is to develop a deep learning model to detect fire extinguishers in images taken from CCTVs in underground utility tunnels. Method: Various fire extinguisher images were collected for detection of fire extinguishers in the running-based underground utility tunnel, and a model applying the One-stage Detector method was developed based on the CNN algorithm. Result: The detection rate of fire extinguishers photographed within 10m through CCTV video in the underground common area is over 96%, showing excellent detection rate. However, it was confirmed that the fire extinguisher object detection rate drops sharply at a distance of 10m or more, in a state where it is difficult to see with the naked eye. Conclusion: This paper develops a model for detecting fire extinguisher objects in underground common areas, and the model shows high performance, and it is judged that it can be used for underground common area digital twin model synchronizing.

An evaluation of influence factors based on the limit state design-AASHTO LRFD for structural analysis of shield tunnel segment lining (한계상태설계법-AASHTO LRFD를 적용한 쉴드터널 세그먼트 라이닝의 구조해석 영향인자 평가)

  • Kim, Yang-Woon;Kim, Hong-Moon;Kim, Hyun-Su;Lee, Seong-Won
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.20 no.1
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    • pp.99-118
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    • 2018
  • Recently, the limit state design method in the design of the structure is in global trend, but it is limited to a few structures in Korea. Since the introduction of the limit state design method has recently been attempted for tunnels, which are the main underground structures, it is surely necessary to understand the latest limit state design method. Therefore, based on the recently published AASHTO LRFD Road Tunnel Design and Construction Guide Specification (2017), structural load factors and load combinations were reviewed, and various factors which should be applied for the review of structures have been analyzed. In this study, utility tunnel section and subway tunnel sections used in Korea were analyzed by the limit state design method, and we have analyzed the direction of application of limit state design method through studying the tendency of member force by various influential factors such as ground conditions, load modifier and joint stiffness.

A study on hydraulic behaviour and leakage control of segment linings using the numerical method (수치해석을 이용한 세그먼트라이닝의 수리거동과 누수제어 연구)

  • Shin, Jong-Ho;Shin, Yong-Suk;Pam, Dong-In;Chae, Sung-Elm;Choi, Kyu-Hoon
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.11 no.2
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    • pp.131-140
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    • 2009
  • It has been repeatedly reported that a drainage system of a drained tunnel is deteriorated. And consequently the water pressure on the lining increases with time. However, little research on the watertight tunnel was found in the literatures. According to field measurements, leakage of the undrained tunnel has increased with time, which is completely opposite to the behavior of the drained tunnel. It is evident that the hydraulic deterioration of the tunnel lining changes the water pressure on the lining and the amount of leakage, thus the design coneept in terms of groundwater is not maintained tightly throughout the life time of the tunnel. The Segment lining is generally constructed as watertight. However, it is frequently reported that the leakage in the segment tunnel increases with time. It is also reported that the leakage is generally concentrated at the joints of the segments. In this study structural and hydraulic interaetion of the segment lining due to the hydraulic deterioration of the segments and the joints is investigated using the numerical modeling method. An electric utility tunnel below groundwater table is considered for the analyses. The effects of hydraulic deterioration of the segment lining are identified in terms of ground loading, water pressure and lining behavior. A remedial grouting measure for leakage is also numerically simulated, and its appropriateness is evaluated.

Modelling on the Carbonation Rate Prediction of Non-Transport Underground Infrastructures Using Deep Neural Network (심층신경망을 이용한 비운송 지중구조물의 탄산화속도 예측 모델링)

  • Youn, Byong-Don
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.4
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    • pp.220-227
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    • 2021
  • PCT (Power Cable Tunnel) and UT (Utility Tunnel), which are non-transport underground infrastructures, are mostly RC (Reinforced Concrete) structures, and their durability decreases due to the deterioration caused by carbonation over time. In particular, since the rate of carbonation varies by use and region, a predictive model based on actual carbonation data is required for individual maintenance. In this study, a carbonation prediction model was developed for non-transport underground infrastructures, such as PCT and UT. A carbonation prediction model was developed using multiple regression analysis and deep neural network techniques based on the actual data obtained from a safety inspection. The structures, region, measurement location, construction method, measurement member, and concrete strength were selected as independent variables to determine the dependent variable carbonation rate coefficient in multiple regression analysis. The adjusted coefficient of determination (Ra2) of the multiple regression model was found to be 0.67. The coefficient of determination (R2) of the model for predicting the carbonation of non-transport underground infrastructures using a deep neural network was 0.82, which was superior to the comparative prediction model. These results are expected to help determine the optimal timing for repair on carbonation and preventive maintenance methodology for PCT and UT.

A study on the normal project duration development for the construction of multi-utility tunnel in the existing city (기존시가지의 공동구 건설을 위한 표준공기 산정에 대한 연구)

  • Lee, Seong-Won;Lee, Pil-Yoon;Byun, Yo-Seph;Cho, Choong-Yeun;Lee, Min-jae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.12
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    • pp.677-685
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    • 2018
  • In construction, schedule management is the basic but important step, for the effective schedule management, the preparation of the reasonable schedule table should be prioritized. In the design stage, the optimal construction period can be selected through comparison of various conditions and construction methods considering weather conditions and site characteristics. But, At the planning phase, it is difficult to select the effective method and calculate the proper construction period by the basic data(D/B) analysis. In this paper, the construction method considering characteristics of each type and conditions of existing city was selected. For the reasonable duration calculation, we analyzed the unit schedule for RC method for open type and Shield TBM method for tunnel type. The normal project duration of construction assuming of 1,200m of extension and every 200m of ventilation was prepared by integrating each unit schedule. It was analyzed that it took 893 days for the open type and 616 days for the tunnel type. The results of this study will help to make type selection and normal project duration more easily in the planning phase. If it is linked to the design stage, it will be easy to estimate the process and construction cost.

Decision Making Methodology on Ventilation System for Road Tunnels Based on Multi-Attribute Utility Theory (다속성 효용이론을 활용한 터널환기방식 선정)

  • Lee, Hye-Jin;Kang, Sang-Hyeok;Park, Won-Young;Seo, Jong-Won
    • Korean Journal of Construction Engineering and Management
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    • v.8 no.3
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    • pp.106-115
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    • 2007
  • The size and length of road tunnels have been gradually expanded as industry developed. Consequently, the risk has been increased. The decision making process for ventilation system for road tunnels involves a large amount of information on economic feasibility, construction methods, and safety etc. In situation where systematically structured decision making process is unavailable, almost decisions about ventilation systems are made based on engineers' private knowledge and experiences. Procedure and criteria to choose the best optimized ventilation system among many alternatives are proposed, breaking away from the economic dependency-oriented decision making. This paper presents a Multi-Attribute Utility Theory and AHP based function with which planners can calculate overall utility of each alternative. It is anticipated that the effective use of the proposed methodology for decision making on ventilation systems ould be able to reduce the likelihood of the occurrence of potential safety risks as well as increase the overall ventilation performance.

A Study on the Data Analysis of Fire Simulation in Underground Utility Tunnel for Digital Twin Application (디지털트윈 적용을 위한 지하공동구 화재 시뮬레이션의 데이터 분석 연구)

  • Jae-Ho Lee;Se-Hong Min
    • Journal of the Society of Disaster Information
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    • v.20 no.1
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    • pp.82-92
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    • 2024
  • Purpose: The purpose of this study is to find a solution to the massive data construction that occurs when fire simulation data is linked to augmented reality and the resulting data overload problem. Method: An experiment was conducted to set the interval between appropriate input data to improve the reliability and computational complexity of Linear Interpolation, a data estimation technology. In addition, a validity verification was conducted to confirm whether Linear Interpolation well reflected the dynamic changes of fire. Result: As a result of application to the underground common area, which is the study target building, it showed high satisfaction in improving the reliability of Interpolation and the operation processing speed of simulation when data was input at intervals of 10 m. In addition, it was verified through evaluation using MAE and R-Squared that the estimation method of fire simulation data using the Interpolation technique had high explanatory power and reliability. Conclusion: This study solved the data overload problem caused by applying digital twin technology to fire simulation through Interpolation techniques, and confirmed that fire information prediction and visualization were of great help in real-time fire prevention.