• Title/Summary/Keyword: Leakage risk

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Development of Hazardous Work Mapping Methodology Based on Layout of Workplace Handling The Accident Preparedness Substances (사고대비물질 취급 사업장 Layout기반 위험작업 Mapping 방법론 개발)

  • Kim, Jin Hyung;Yang, Jae Mo;Yong, Jong-Won;Ko, Byung Seok;Yoo, Byungtae;Ko, Jae Wook
    • Korean Chemical Engineering Research
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    • v.52 no.6
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    • pp.736-742
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    • 2014
  • If an accident occurs at work places that handle 'the accident preparedness substances', it causes more property damage and casualties than accidents of normal chemical substances. Even though various systems and regulations have been operated in order to prevent accidents, techniques for reducing and removing human error, which is one of the main reasons of accidents, are still inadequate. In this paper, hazardous work digitization, potential hazard verification, and work evaluation based on domestic technical guidelines have been performed through a case study of the accident of hydrofluoric acid leakage in Gumi in September 2012, and development of a new risk mapping method has been studied to supplement existing systems.

CFD Simulation Study to analyze the Dispersion and Explosion of Combustible Gas (CFD를 이용한 가연성 가스의 확산 및 폭발 Simulation)

  • Jang, Chang-Bong;Lee, Hyang-Jik;Lee, Min-Ho;Min, Dong-Chul;Back, Jong-Bae;Ko, Jae Wook;Kwon, Hyuck-Myun
    • Journal of the Korean Institute of Gas
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    • v.16 no.5
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    • pp.58-65
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    • 2012
  • Various models are currently applied to predict the dispersion of leaked combustible gas and overpressure from a vapor cloud explosion(VCE). However, those models use simple approaches where topography and barriers of anti-leakage facilities and the effects of buildings were not sufficiently taken into considerations. For this reason, this study has proposed the dispersion process of leaked gas, distribution patterns, and flames and overpressure generated from gas explosions in 2D and 3D virtual spaces by reviewing more accurately analyzable computational fluid dynamics (CFD) model by considering various variables including combustion types of leaked substances, geometry of facility, warm currents, barriers, the influence of wind, and others. The CFD analysis results are anticipated to be usefully applied for the risk analysis of explosion and for the risk-based design.

A Study on Safety of Hydrogen Station (수소충전소의 안전성에 관한 연구)

  • Ko, Jae-Wook;Lee, Dae-Hee;Jung, In-Hee
    • Journal of the Korean Institute of Gas
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    • v.13 no.1
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    • pp.45-51
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    • 2009
  • A safety assessment was performed through the process analysis of hydrogen station. The purpose of this study provides basic information for the standard establishment about hydrogen stations. The processes of hydrogen stations were classified by four steps (process of manufacture, compression, storage, charge). FMEA (Failure Mode and Effect Analysis) method was applied to evaluate safety. Each risk element is following; S (severity), O (occurrence), D (detection). And the priority of order was decided by using RPN (Risk Priority Number) value multiplying three factors. Scenarios were generated based on FMEA results. And consequence analysis was practiced using PHAST program. In the result of C.A, jet fire and explosion were shown as accident types. In case of leakage of feed line in PSA process, concentration of CO gas is considered to prevent CO gas poisoning when the raw material that can product CO gas was used.

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Evaluation Criteria for Suitable Authentication Method for IoT Service Provider in Industry 4.0 Environment (4차 산업혁명 시대의 IoT 서비스 참여 주체에 대한 적합한 인증수단 선택을 위한 평가기준)

  • Jeong, Kwang Seob;Bae, Sukjoo;Kim, Hyoungtae
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.3
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    • pp.116-122
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    • 2017
  • Advances in information technology, communication and network technology are radically facilitating digital convergences as the integration of human, equipment, and space in the current industry 4.0 era. In industry 4.0 environment, the vast amount of information with networked computing technology can be simultaneously accessible even in limited physical space. Two main benefit points out of these information are the convenience and efficiency in their online transactions either buying things online or selling online. Even though there exist so many benefits that information technology can create for the people doing business over the internet there is a critical problem to be answered. In spite of many such advantages, however, online transactions have many dysfunctions such as personal information leakage, account hacking, and cybercrime. Without preparing the appropriate protection methods or schema people reluctantly use the transaction or would find some other partners with enhanced information security environment. In this paper we suggested a novel selection criteria that can be used to evaluate the reliable means of authentication against the expected risks under on-going IoT based environment. Our selection criteria consists of 4 steps. The first step is services and risk identification step. The second step is evaluation of risk occurrence step. The third step includes the evaluation of the extent of damage. And the final step is the assessment of the level of risk. With the help of the above 4 step-approach people can systematically identify potential risks hiding in the online transactions and effectively avoid by taking appropriate counter actions.

A Risk Assessment in According to Spot Measures and Analysis in Dust Generation Area (분진발생지역의 현장실측과 분석을 통한 위험성 평가)

  • Shong, Kil-Mok;Kim, Young-Seok;Kim, Chong-Min
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.22 no.9
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    • pp.103-110
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    • 2008
  • In terms of electrical safety, environmental impact assessment and revision of domestic regulation are needed for the electric facilities. In this paper, risk of electric facilities is assessed by the spot measures and analysis in dust generation area. Adhesion dust in a surface of insulated materials cause electrical accidents. In a mechanism of these accidents, when the dust lie on electric facilities, a leakage current is flowed and the surface of insulated material is carbonized. Hereafter, electrical fire is generated due to Joule's heat. As the results, dusts are found in protection devices or panel board and sampled dusts vary in sampled amounts and conductivity severally. For the most part, sodium is detected but zinc and calcium are detected in case of reclaimed rubber factory by the ICP-AES(Inductively Coupled Plasma-Atomic Emission Spectroscopy). In a sewerage, the ingredients such as sodium, magnesium, iron, calcium, aluminium, etc are detected uniformly. So that, results of the spot measures and analysis of dusts are become the important data for the assessment of electrical hazard in dust generation area.

Experimental Studies on the Risk Assessment of Electrical Fire and Shock of LED Lighting for Outdoor (옥외용 LED 조명의 전기화재 및 감전 위험성 평가에 대한 실험적 고찰)

  • Kim, Hyang-Kon;Gil, Hyoung-Jun;Kim, Dong-Ook;Kim, Dong-Woo;Lee, Ki-Yoen;Moon, Hyun-Wook;Kim, Hyeog-Soo;Kim, Myung-Soo;Kim, Man-Geon
    • Congress of the korean instutite of fire investigation
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    • 2011.04a
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    • pp.77-97
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    • 2011
  • In this paper, we studied risk assessments of electrical fire and shock of LED lightings for outdoor. We examined national regulations about the LED lighting for outdoor and analyzed the appearances and compositions of LED lightings. And, We experimented about water proof, line to line fault, line to line breakdowm, overvoltage, line to line leakage in overhead line or water of LED lighting. From experimental results, we know that there are risks of electrical fire and shock by abnormal conditions at the LED lighting. Therefore, the uses of protective devices and insulated type of converter are required for the electrical safety. We expect that the results of this study would be helpful for the improvement of regulations and standards for electrical safety and for the investigations of electrical accidents of LED lightings.

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Probabilistic Neural Network for Prediction of Leakage in Water Distribution Network (급배수관망 누수예측을 위한 확률신경망)

  • Ha, Sung-Ryong;Ryu, Youn-Hee;Park, Sang-Young
    • Journal of Korean Society of Water and Wastewater
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    • v.20 no.6
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    • pp.799-811
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    • 2006
  • As an alternative measure to replace reactive stance with proactive one, a risk based management scheme has been commonly applied to enhance public satisfaction on water service by providing a higher creditable solution to handle a rehabilitation problem of pipe having high potential risk of leaks. This study intended to examine the feasibility of a simulation model to predict a recurrence probability of pipe leaks. As a branch of the data mining technique, probabilistic neural network (PNN) algorithm was applied to infer the extent of leaking recurrence probability of water network. PNN model could classify the leaking level of each unit segment of the pipe network. Pipe material, diameter, C value, road width, pressure, installation age as input variable and 5 classes by pipe leaking probability as output variable were built in PNN model. The study results indicated that it is important to pay higher attention to the pipe segment with the leak record. By increase the hydraulic pipe pressure to meet the required water demand from each node, simulation results indicated that about 6.9% of total number of pipe would additionally be classified into higher class of recurrence risk than present as the reference year. Consequently, it was convinced that the application of PNN model incorporated with a data base management system of pipe network to manage municipal water distribution network could make a promise to enhance the management efficiency by providing the essential knowledge for decision making rehabilitation of network.

Development of Design Blast Load Model according to Probabilistic Explosion Risk in Industrial Facilities (플랜트 시설물의 확률론적 폭발 위험도에 따른 설계폭발하중 모델 개발)

  • Seung-Hoon Lee;Bo-Young Choi;Han-Soo Kim
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.37 no.1
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    • pp.1-8
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    • 2024
  • This paper employs stochastic processing techniques to analyze explosion risks in plant facilities based on explosion return periods. Release probability is calculated using data from the Health and Safety Executive (HSE), along with annual leakage frequency per plant provided by DNV. Ignition probability, derived from various researchers' findings, is then considered to calculate the explosion return period based on the release quantity. The explosion risk is assessed by examining the volume, radius, and blast load of the vapor cloud, taking into account the calculated explosion return period. The reference distance for the design blast load model is determined by comparing and analyzing the vapor cloud radius according to the return period, historical vapor cloud explosion cases, and blast-resistant design guidelines. Utilizing the multi-energy method, the blast load range corresponding to the explosion return period is presented. The proposed return period serves as a standard for the design blast load model, established through a comparative analysis of vapor cloud explosion cases and blast-resistant design guidelines. The outcomes of this study contribute to the development of a performance-based blast-resistant design framework for plant facilities.

Hazardous Material Process Risk Evaluation Using HAZOP and Bow-tie (HAZOP 및 BOW-TIE를 이용한 위험물질 취급공정의 위험성평가)

  • Min-Seo Nam;Byung-Tae Yoo
    • Journal of the Korean Institute of Gas
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    • v.28 no.1
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    • pp.35-43
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    • 2024
  • With continuous advancements in industry, science, and technology, there is a steady increase in the number and utilization of new chemicals. The growing societal emphasis on chemical safety management is paralleled by an increasing public demand for robust safety measures. While various ministries at the government level oversee the safety management of chemical substances, the occurrence of accidents related to chemical substances remains frequent each year due to problems such as aging facilities and careless handling. Upon analyzing domestic chemical accident cases, incidents occurred predominantly in the sequence of leakage, explosion, fire, and others. The main causes of these accidents were examined, revealing facility defects and non-compliance with safety management as the primary contributing factors. In this study, Hazard and Operability Analysis (HAZOP) was employed to identify hazardous risk factors associated with the handling of hydrofluoric acid in workplaces, and a risk assessment was performed using Bow-Tie method. Based on the results of this study, it is expected to enhance safety management plans aimed at preventing chemical accidents in workplaces dealing with similar facilities. Ultimately, these insights contribute to the development of an advanced chemical safety management system, capable of proactively preventing potential chemical accidents.

A Model Estimating the Propagation Behavior of through cracks in Aluminum alloy A5083-O for LNG Tank (LNG탱크용 알루미늄합금 A5083-O의 관통균열 전파거동 예측 모델)

  • 김영식;조상명;김종호
    • Journal of Ocean Engineering and Technology
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    • v.12 no.1
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    • pp.50-57
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    • 1998
  • The leak before break(LBB) concept is generalized on the design of LNG tanks, pressure vessels and nuclear reactor in that any leakage of containment, in whatever amount, will not result in catastropic failure. For this purpose it is necessary to determine the surface crack shape, the opening displacement and the risk of catastropic brittle fracture when it becomes a through crack. In this study the crack propagation behavior of surface flaws and the crack opening displacement of through cracks under combined membrane and bending stresses were investigated with fatigue tests and fracture toughness test of aluminium alloy A5083-O. And fracture mechanics analysis of the crack opening displacement of through cracks were made in order to develop a new model expressing the behaviors of COD under combined membrane and bending stresses.

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