• Title/Summary/Keyword: Tunnel Fire

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Establishment of Complex Disaster Scenario on the Utility Tunnel Study for Digital Twin System Application (디지털트윈 시스템 적용을 위한 공동구 복합재난 시나리오 구축)

  • Yon Ha Chung; So Dam Kim;Hyun Jeong Seo;Hojun Lee;Tae Jung Song
    • Journal of the Society of Disaster Information
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    • v.18 no.4
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    • pp.861-872
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    • 2022
  • The purpose of this study was to establish a complex disaster scenario that can comprehensively consider various disaster situations that may occur in the utility tunnel. Method: In order to comprehensively consider the correlation between disasters, a composite disaster scenario was derived from a combination of damage factors, respectively. A risk assessment was performed in order to derive the priorities of the scenarios. And based on the results, the priorities of complex disaster scenarios were set. Result: Based on the disaster cases in the utility tunnel, a plan was prepared for complex disaster scenarios centered on damage. A complex disaster scenario was specified using a semi-quantitative evaluation method for single and multiple disaster factors such as fire, flooding, and earthquake. Conclusion: The composite disaster scenario derived from this study can be used for the prevention and preparation of damage when the precursor symptoms of a disaster are detected. In addition, the results of this study are expected to be used as basic data for preparing strategic plans and preparing complex disaster response technologies to induce rapid response and recovery in case of emergency disasters.

A Study on Effectiveness for Car-Crash Fires Prevention through a Full-length Speed Enforcement System in Highway Tunnels (고속도로 터널내 차량추돌화재사고를 방지하기 위한 구간과속단속시스템 설치에 관한 통계적 연구)

  • Lee, Young-Jae;Kim, Gab-Cheol;Park, Hyung-Joo
    • Fire Science and Engineering
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    • v.25 no.5
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    • pp.119-127
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    • 2011
  • Because of most notably the increase in vehicular traffic in Korea, as measured by highway transport usage, relief is being sought by expanding the construction of highways after 1970s'. These highways have opened up over 70 % of the mountainous areas in Korea's country side which includes the construction of tunnels. Currently there are 607 tunnels installed that are being maintained and by 2015, under the next medium-term plan, Korea will build an additional 440 tunnels. In addition, the use of 1,000m double-pole tunnels is expected to increase significantly in 256 locations. There is no doubt that these tunnels will relieve traffic congestion and aid improved communications, but halfclosed underground highway tunnels in particular are required to reduce tunnel fires caused by poor vehicle maintenance, and other factors such as speeding motorists that increase the number of vehicular accidents. Double-pole tunnels in 1,000m length over require vehicle drivers to be more cautious in terms of the continuous speed limit, judged by how devastating most of car-crash fires within these tunnels can be. In order to prevent these disasters, a full-length tunnel speed enforcement system should be considered mandatorily in legal clauses.

Modeling of Smoke Dispersion through a Long Vertical Duct (장대 수직 환기구를 통한 매연 확산의 모델링 연구)

  • Yoon, Sung-Wook
    • Tunnel and Underground Space
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    • v.13 no.4
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    • pp.287-293
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    • 2003
  • A long vertical duct is an essential installation for extracting smoke to the ground level when a fire occurs in an underground space. Due to the limitations of its basic assumptions, the existing two-layer zone model is unsuitable to model smoke dispersion through a long vertical duct. Therefore, an assessment was made to investigate the applicability of the field model, which is based on the computational fluid dynamics (CFD). A similar configuration to the published experimental work was modeled to test the validity. It is clear that under a consistent decision criterion based on the mass fraction, the field model (CFD) is able to predict that the diffusion front progresses up the shaft with exactly the same rate as that in the empirical correlation equation. This result is for better than the mathematically obtained equations in previously published research. Therefore, it can be said that the field model is an excellent option to predict the smoke dispersion through the long vertical shaft.

Basic Study on the Performance of a Pressure-difference Control Damper Affected by Flow Disturbance in a Wind Tunnel (풍도 내 유동 교란과 자동차압 댐퍼의 성능 특성 기초 연구)

  • Yun, Yung-Min;Lee, Min-Jung;Kim, Nam-Il;Ryou, Hong-Sun
    • Fire Science and Engineering
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    • v.23 no.6
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    • pp.16-23
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    • 2009
  • The performance characteristics of a smoke damper, which aims to suppress the penetration of smoke to a safe area, have been tested under the regulation of the FIS 001. However, the improvement of the test methods and the regulation has consecutively been requested. From a view-point of fluid mechanical theory, a pressure control damper, that is installed at the end of the flow control system, is important and it dominates flow characteristics in all designed flow systems. In this study, the weak points of the regulation of the FIS 001 concerned with the pressure control damper was visited and the some important characteristics of the damper was examined. Based on these results, it was confirmed that the effects of flow disturbance in the air supplying duct on the performance of the damper are not significant. This results gives some information for the modification of the experimental regulation concerned to the pressure control damper.

Selecting a Landmark for Repositioning Automated Driving Vehicles in a Tunnel (자율주행 차량의 터널내 측위오차 보정 지원시설 선정)

  • Kim, Hyoungsoo;Kim, Youngmin;Park, Bumjin
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.5
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    • pp.200-209
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    • 2018
  • This study proposed a method to select existing facilities as a landmark in order to reset accumulated errors of dead reckoning in a tunnel difficult to receive GNSS signals in automated driving. First, related standards and regulations were reviewed in order to survey 'variety' on shapes and installation locations as a feature of facilities. Second, 'recognition' on facilities was examined using image and Lidar sensors. Last, 'regularity' in terms of installation locations and intervals was surveyed through related references. The results of this study selected a fire fighting box / lamp (50m), an evacuation corridor lamp (300m), a lane control system (500m), a maximum / minimum speed limit sign and a jet fan as a candidate landmark to reset positioning errors. Based on those facilities, it was determined that error correction was possible. The results of this study are expected to be used in repositioning of automated driving vehicles in a tunnel.

Scaled model tests for improvement and applicability of the transverse smoke control system on tunnels (횡류식 제·배연 시스템의 개선 및 적용성 분석을 위한 모형실험 연구)

  • Kim, Hyo-Gyu;Baek, Doo-San;Kim, Jae-Hyun;Lee, Seong-Won;Yoo, Ji-Oh
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.22 no.5
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    • pp.563-574
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    • 2020
  • Currently, road tunnels and railroad tunnels are building smoke control systems to emit toxic gases and smoke from fires. Among the various smoke control systems, the transverse smoke control system has the disadvantage that air supply or exhaust is performed on only half of the cross-section, rather than air supply or exhaust on the entire cross-section of the tunnel as air is supplied or exhausted by partitioning the wind path. Therefore, this study analyzed the effect of exhaustion through numerical analysis and scaled model tests on the zoning smoke control system, which improved the limitations of the transverse smoke control system. As a result of the scaled model test, the transverse ventilation system exhibited a 25.6% smoke control rate based on the state where no smoke was controled, and zoning smoke control system showed a smoke control rate of 40.8%. In addition, as a result of numerical analysis, it was found that transverse ventilation system did not control fire smoke spreading from the tunnel and continued to spread. On the other hand, zoning smoke control system was found to be smoke controled within a certain section due to the air curtain effect and the flue gas effect.

Effect on self-enhancement of deep-learning inference by repeated training of false detection cases in tunnel accident image detection (터널 내 돌발상황 오탐지 영상의 반복 학습을 통한 딥러닝 추론 성능의 자가 성장 효과)

  • Lee, Kyu Beom;Shin, Hyu Soung
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.21 no.3
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    • pp.419-432
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    • 2019
  • Most of deep learning model training was proceeded by supervised learning, which is to train labeling data composed by inputs and corresponding outputs. Labeling data was directly generated manually, so labeling accuracy of data is relatively high. However, it requires heavy efforts in securing data because of cost and time. Additionally, the main goal of supervised learning is to improve detection performance for 'True Positive' data but not to reduce occurrence of 'False Positive' data. In this paper, the occurrence of unpredictable 'False Positive' appears by trained modes with labeling data and 'True Positive' data in monitoring of deep learning-based CCTV accident detection system, which is under operation at a tunnel monitoring center. Those types of 'False Positive' to 'fire' or 'person' objects were frequently taking place for lights of working vehicle, reflecting sunlight at tunnel entrance, long black feature which occurs to the part of lane or car, etc. To solve this problem, a deep learning model was developed by simultaneously training the 'False Positive' data generated in the field and the labeling data. As a result, in comparison with the model that was trained only by the existing labeling data, the re-inference performance with respect to the labeling data was improved. In addition, re-inference of the 'False Positive' data shows that the number of 'False Positive' for the persons were more reduced in case of training model including many 'False Positive' data. By training of the 'False Positive' data, the capability of field application of the deep learning model was improved automatically.

Pressure Analysis and Conceptual Design for Indoor Ballistic Test Range by Numerical Methods (수치해석기법을 이용한 실내시험장 압력특성해석 및 개념설계)

  • Jung, Hui-Young;Park, Kwan-Jin;Kim, Nam-Hyuk
    • Journal of the Korea Institute of Military Science and Technology
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    • v.20 no.1
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    • pp.55-62
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    • 2017
  • For evaluating a large caliber ammunition tests, indoor ballistic test range is required to reduce the noise and fragments occurring during the test. To ensure the reliability of the indoor ballistics test range design, we carried out the analysis of the indoor test range using the AUTODYNE hydrodynamic code before its construction. The 120 mm tank ammunition is adopted as a reference model and we analysed the characteristics of the pressure distribution at fire area, the structure design at impact area, the over-pressure applied to the tunnel, and the sabot stopper design. The results of the analysis were applied to the design of the indoor ballistic test range.

A Study on the Development of 3rd Stage IGG Blower for Shipbuilding Using CFD (CFD를 이용한 선박용 IGG Blower 개발에 관한 연구)

  • Lee, Jong-Jing;Yi, Chung-Seub;Jeong, Soon-Jae;Jang, Sung-Cheol;Kim, Chi-Won
    • Proceedings of the SAREK Conference
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    • 2008.06a
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    • pp.1309-1314
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    • 2008
  • I.G.G is abbreviation for Inert Gas Generator, High temperature in Cargo Tank it desulfurize, exhausted and froze the gas that combined brimstone element and soot, then supply Inert gas by blower, and mack tank inside incombustible range this is equipment that nip in the bud the explosion. The blower for suppling inactivated gas has big impeller with heavy weight to achieve the high pressure, it causes a delay for first operation time and too much load is delivered to motor, total destruction by fire of motor is happening frequently. On this research, we will reduce the size & weight of impeller and install it with several stage, it makes an effect for reducing the first operation time. We also intend to contribute to efficient IGG blower design by research a flowing & pressure specialty from the diameter of impeller, number of blade, and size of casing.

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Changes of Material Properties of Pre-heated Tuff Specimens (예열처리된 응회암 시험편의 물성 변화)

  • Yoon, Yong-Kyun;Kim, Sa-Hyun
    • Tunnel and Underground Space
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    • v.23 no.3
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    • pp.212-218
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    • 2013
  • Tuff specimens were thermally treated with predetermined temperatures of 200, 400 and $600^{\circ}C$ to construct specimens simulating weathered tuff rocks. Specific gravity, absorption ratio, elastic wave velocity, uniaxial compressive strength, Brazilian tensile strength, Young's modulus, Poisson's ratio and slake-durability index were measured for pre-heated specimens. Heating of rock specimens entailed the degradation of material properties except for slake-durability index. It was found that correlations among P-wave velocity, uniaxial compressive strength, Brazilian tensile strength, Young's modulus and absorption ratio are high. Regression equations which use the P-wave velocity as an independent variable were presented to evaluate uniaxial compressive strength, Brazilian tensile strength, Young's modulus and absorption ratio.