• Title/Summary/Keyword: Fire explosion

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An experimental Study on explosion property of high-strength concrete according to the kinds of admixtures (혼화재의 종류에 따른 고강도 콘크리트의 폭렬특성에 관한 실험적 연구)

  • Min, Se-Hong;Kwon, Ki-Seok;Ryu, Dong-Woo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2013.05a
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    • pp.105-106
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    • 2013
  • The construction of modern society, the use of high-strength concrete structures is becoming frequent. Admixture has been reported as a factor causing the explosion occurred. This study was experimental research on high strength concrete according to the kinds of admixture. Admixture of four different mix. fire resistance test results are outstanding when using blast furnace slag aggregate. When using silica fume spalling phenomena were most violent.

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Hazards of Explosion and Ignition of Foods Dust (식료품 분진의 발화 및 폭발 위험성)

  • Han, Ou-Sup
    • Korean Chemical Engineering Research
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    • v.55 no.5
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    • pp.629-637
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    • 2017
  • Severe dust explosions occurred frequently in food processing industries and explosion damage increase by flame propagation in pipes or plants. However there are few fire explosion data available due to various powder characteristics. We investigated the characteristics of ignition and explosion on sugar, cornstarch and flour dust with high frequency accidents and high social demand. The measurements showed the median diameter of 27.56, 14.76, $138.5{\mu}m$ and ignition temperature has been investigated using by thermo-gravimetric analysis (TGA) and differential scanning calorimeter (DSC). The maximum explosion pressure ($P_m$) and dust explosion index ($K_{st}$) of sugar, cornstarch and flour are 7.6, 7.6, 6.1 bar and 153, 133, 61 [$m{\cdot}bar/s$], respectively. The flame propagation time in duct was calculated in order to evaluate the damage increase due to flame propagation during dust explosion. The explosion hazard increase due to flame propagation was higher in the order of sugar, flour and cornstarch dust.

A Study on the Need for Improvement of Fire Resistance Design in Underground Parking Lot due to Electric Vehicle Fire (전기자동차 화재에 따른 지하주차장 내화설계 개선 필요성 검토)

  • Kim, Hae-na;Park, Jun-Seo;Shin, Joung-Hyeon;Hong, Sang-Hun;Jung, Ui-In;Kim, Bong-Joo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2022.11a
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    • pp.235-236
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    • 2022
  • Electric vehicle fires in underground parking lots are very dangerous, but it is judged that the current related laws and regulations do not change, which will cause problems. As a result of the analysis for the purpose of providing an electric vehicle in an underground parking lot, fire-resistance coating is essential as it can cause an explosion in the building members made of high-strength concrete when an electric vehicle fire occurs in an underground parking lot. Since a fire occurs, it is necessary to prevent electric vehicles from parking adjacent to each other.

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Risk Assessment of High Pressure HCNG Refueling Station Explosion by Numerical Simulation (시내버스용 HCNG 고압가스 충전소의 폭발 위험성 해석)

  • Kang, Seung-Kyu;Kim, Young-Gu;Choi, Seul-Ki;Kwon, Jeong-Rak
    • 한국연소학회:학술대회논문집
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    • 2014.11a
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    • pp.113-113
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    • 2014
  • This study has been conducted for evaluation of qualitative/quantitative risk of HCNG filling station. In case of fire explosion occurred because of hydrogen, CNG, and HCNG leaking on same conditions, maximum overpressure was measured as 30kPa for hydrogen, 3.5kPa for HCNG, and 0.4kPa for CNG. The overpressure of HCNG was measured 7.75 times higher than that of CNG, but it was only 11.7% compared with hydrogen. When the explosion was occurred, in case of hydrogen, the measured influential distance of overpressure was 59m and radiant heat was 75m. In case of CNG, influential distance of overpressure was 89m and radiant heat was 144m would be estimated. In case of 30% HCNG that was blended with hydrogen and CNG, influential distance of overpressure was 81m and radiant heat was 130m were measured. As the explosion occurred with the same sized container that had 350bar for hydrogen and 250bar of CNG and HCNG, the damage distance that explosive overpressure and radiant heat influenced CNG was seen as the highest. HCNG that was placed between CNG and hydrogen tended to be seen as more similar with CNG.

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A Study on the Overpressure Estimation of BLEVE (BLEVE로 인한 과압 예측에 관한 연구)

  • Kim In-Tae;Kim In-Won;Song Hee-Oeul
    • Journal of the Korean Institute of Gas
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    • v.4 no.1 s.9
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    • pp.69-76
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    • 2000
  • Explosion Quantities and flashing mass resulting from the variation of temperature are calculated by a computer program, BLEVE ESTIMATOR, to carry out the risk assessment of BLEVE. The damages caused by the BLEVE are estimated under the explosion of the simulation condition similar to the Puchun LP gas station accident, and the results are compared with the commercial program SAFER of Dupont CO. Explosion quantities and flashing mass increase exponentially with the increase of explosion temperature. These values for propane are relatively higher than those for n-butane. In conditions of higher vessel temperature, vessel pressure, and liquid ratio of containment, higher overpressures are calculated.

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A Study on the Explosion Pressure Behavior of Methyl Ethyl Ketone Peroxide with Addition of Sulfuric Acid (황산의 첨가에 따른 Methyl Ethyl Ketone Peroxide의 폭발압력거동에 관한 연구)

  • Choi Jae-Wook;Jung Doo-Kyun;Choi Il-Gon
    • Journal of the Korean Institute of Gas
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    • v.8 no.4 s.25
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    • pp.50-54
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    • 2004
  • To examine the danger of explosion caused by decomposition explosion of Methyl Ethyl Ketone Peroxide, the mini cup pressure vessel tester (MCPVT) was used in the experiment. The maximum explosion pressure increased as the amount of $98\%H_2SO_4$ added to MEKPO increased from $0\%$ to $1\%,\;3\%$, and $5\%$, and the maximum pressure rising velocity increased as well. In addition, the temperature under the pressure at which decomposition starts decreased from $168.16^{\circ}C$ to $126.76^{\circ}C,\;91.21^{\circ}C$, and $81.25^{\circ}C$ as the amount of $H_2SO_4$ added increased.

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Social Disaster Adaptation Experiences of Railroad Workers: Focused on the Iri Station Explosion of 1977 (철도종사자의 사회 재난 적응 경험: 1977년 이리역 폭발 사고를 중심으로)

  • Jung, Ho Gi;Yang, Ya Ki
    • Korean Journal of Occupational Health Nursing
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    • v.28 no.1
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    • pp.1-11
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    • 2019
  • Purpose: The Iri station explosion that occurred in 1977 was a major social disaster in Korea, caused by a fire in a train equipped with explosives. The purpose of this study was to investigate the social disaster adaptation experiences of railroad workers. Methods: This study was based on qualitative research using phenomenological methodology. Participants were six railroad workers who experienced the Iri station explosion. Data were collected through in-depth interviews with individual workers from March to June, 2018. The data analysis method was based on Colaizzi's approach. Results: Experiences of railroad workers were categorized into 12 themes and the following 6 theme clusters: (1) Anxiety due to the extreme vibration and crash, (2) Terror regarding the horrible situation that one cannot face, (3) Anger about the cause of the explosion and a sense of relief about survival, (4) Confusion regarding different rumors, (5) Various efforts to return to daily life, and (6) Trauma that continues to exist. Conclusion: The findings of this study recommend that railroad organizations and managers should pay attention to enhance disaster preparedness and develop organizational disaster coping guidelines for members. The results of this study can help us to better understand the various aspects of the Iri station explosion of 1977.

An Predictive System for urban gas leakage based on Deep Learning (딥러닝 기반 도시가스 누출량 예측 모니터링 시스템)

  • Ahn, Jeong-mi;Kim, Gyeong-Yeong;Kim, Dong-Ju
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.41-44
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    • 2021
  • In this paper, we propose a monitoring system that can monitor gas leakage concentrations in real time and forecast the amount of gas leaked after one minute. When gas leaks happen, they typically lead to accidents such as poisoning, explosion, and fire, so a monitoring system is needed to reduce such occurrences. Previous research has mainly been focused on analyzing explosion characteristics based on gas types, or on warning systems that sound an alarm when a gas leak occurs in industrial areas. However, there are no studies on creating systems that utilize specific gas explosion characteristic analysis or empirical urban gas data. This research establishes a deep learning model that predicts the gas explosion risk level over time, based on the gas data collected in real time. In order to determine the relative risk level of a gas leak, the gas risk level was divided into five levels based on the lower explosion limit. The monitoring platform displays the current risk level, the predicted risk level, and the amount of gas leaked. It is expected that the development of this system will become a starting point for a monitoring system that can be deployed in urban areas.

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