• Title/Summary/Keyword: Fire Prediction

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Prediction and Reduction of Alarm Sound Propagated through Elevator Shaft (엘리베이터 샤프트를 통한 경보음 전달 예측과 개선)

  • Jeong, Jeong-Ho
    • Fire Science and Engineering
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    • v.33 no.4
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    • pp.89-96
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    • 2019
  • In this study, alarm sound generated as a priority alert system propagation through an elevator shaft in apartment buildings were simulated using room acoustic simulation software. The simulations were conducted on three kinds of elevator hall plan with a different number of elevators and placement. First, the elevator shaft without sound absorption material was simulated as a condition of the present. When the distance from the alarm sound generating floor became farther, alarm sound level was decreased. However, the alarm sound level three-floor distance was about 54 dB(A)~56 dB(A) which were louder than a background sound level of typical apartment buildings. Sound absorption material placement proposed by previous studies were simulated and the alarm sound levels were decreased about 12 dB~16 dB. These levels were similar or lower than the background level of apartment buildings. From these results, it can be concluded that placing sound absorption material on the surface of the elevator shaft wall can be one of the methods to control the alarm sound as regulated in NFSC.

Prediction of Poor Contact by Analysis of Electrical Signal and Thermal Characteristics (전기적 신호와 열적특성 분석에 의한 접촉불량 예측)

  • Lee, Heung-Su;Kim, Doo-Hyun;Kim, Sung-Chul;Kim, Yoon-Bok
    • Journal of the Korean Society of Safety
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    • v.27 no.3
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    • pp.36-41
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    • 2012
  • Electrical Connections often cause fires due to poor contact. Occurrence rate of these fires tends to increase annually. The reason why poor contacts occur is often because it is the low mechanical pressure at the contact points. A typical connection method using mechanical pressure is a screw terminal type. This study reviewed these poor contact cases in the screw terminals. In order to get reproduction of such cases, two types of experiments were conducted. the first one was conducted under the normal contact condition, and the other one was conducted under the poor contact condition that screw terminal of breaker was loosen and did not meet the requirements of toque value. In both types of experiments, compulsory vibration was adopted as a variable to aggravate poor contacts. Each of various current values(4.5A, 9.0A, 13.5A) is input. In these experiments, relationships of a contact, electrical signal such as current and electric pulse by ZCT and thermal characteristics according to vibration effect are analyzed. The suggested data and results in this study provide the useful resources helping to investigate fires due to poor contact, and they develop the detector for poor contact and finally reduce the electrical fire occurrence rate.

Measurement and Prediction of Autoignition Temperature (AIT) and Ignition Delay Time of n-Pentanol and p-Xylene Mixture (n-Pentanol p-Xylene 과 혼합물의 최소자연발화온도와 발화지연시간의 측정 및 예측)

  • Ha, Dong-Myeong
    • Fire Science and Engineering
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    • v.31 no.5
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    • pp.1-6
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    • 2017
  • The fire and explosion properties of combustible materials are necessary for the safe handling, storage, transportation and disposal. Typical combustion characteristics for process safety include auto ignition temperature(AIT). The AIT is an important index for the safe handling of combustible liquids. The AIT is the lowest temperature at which the material will spontaneously ignite. In this study, the AITs and ignition delay times of n-pentanol and p-xylene mixture were measured by using ASTM E659 apparatus. The AITs of n-pentanol and p-xylene which constituted binary system were $285^{\circ}C$ and $557^{\circ}C$, respectively. The experimental AITs and ignition delay times of n-pentanol and p-xylene mixture were a good agreement with the calculated AITs and ignition delay times by the proposed equations with a few A.A.D. (average absolute deviation). Therefore, it is possible to estimate the AITs and ignition delay times in other compositions of n-pentanol and p-xylene mixture by using the predictive equations which presented in this study.

Investigation of the Prediction Performance of Turbulence and Combustion Models for the Turbulent Partially-premixed Jet Flame (난류 부분예혼합 제트화염에 대한 난류 및 연소모델의 예측성능 검토)

  • Kim, Yu Jeong;Oh, Chang Bo
    • Fire Science and Engineering
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    • v.28 no.4
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    • pp.35-43
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    • 2014
  • The prediction performance of 9 model sets, which combine 3 turbulent models and 3 combustion models, was investigated numerically for turbulent partially-premixed jet flame. The standard ${\kappa}-{\varepsilon}$ (SKE), Realizable ${\kappa}-{\varepsilon}$ (RKE) and Reynolds stress model (RSM) were used as a turbulence model, and the eddy dissipation concept (EDC), steady laminar flamelet (SLF) and unsteady laminar flamelet model (ULF) were also adopted as a combustion model. The prediction performance of those 9 model sets was evaluated quantitatively and qualitatively for Sandia D flame of which flame structure was measured precisely. The flame length was predicted as, from longest to shortest, RSM > SKE > RKE, and the RKE predicted the flame length of the jet flame much shorter than experiment. The flame temperature was over predicted by the combination of RSM + SLF or RSM + ULF while the flame length obtained by RSM + SLF and RSM + ULF was well agreed with the experiment. The combination of SKE + SLF and SKE + ULF predicts well the flame length as well as the temperature distribution. The SKE turbulence model was most superior to the other turbulent models, and SKE + ULF showed the best prediction performance for the structure of turbulent partially-premixed jet flame.

A Study on Accident Prediction Models for Chemical Accidents Using the Logistic Regression Analysis Model (로지스틱회귀분석 모델을 활용한 화학사고 사상사고 예측모형 개발 연구)

  • Lee, Tae-Hyung;Park, Choon-Hwa;Park, Hyo-Hyeon;Kwak, Dae-Hoon
    • Fire Science and Engineering
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    • v.33 no.6
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    • pp.72-79
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    • 2019
  • Through this study, we developed a model for predicting chemical accidents lead to casualties. The model was derived from the logistic regression analysis model and applied to the variables affecting the accident. The accident data used in the model was analyzed by studying the statistics of past chemical accidents, and applying independent variables that were statistically significant through data analysis, such as the type of accident, cause, place of occurrence, status of casualties, and type of chemical accident that caused the casualties. A significance of p < 0.05 was applied. The model developed in this study is meaningful for the prevention of casualties caused by chemical accidents and the establishment of safety systems in the workplace. The analysis using the model found that the most influential factor in the occurrence of casualty in accidents was chemical explosions. Therefore, there is an urgent need to prepare countermeasures to prevent chemical accidents, specifically explosions, from occurring in the workplace.

Plasticity and Fracture Behaviors of Marine Structural Steel, Part IV: Experimental Study on Mechanical Properties at Elevated Temperatures (조선 해양 구조물용 강재의 소성 및 파단 특성 IV: 고온 기계적 물성치에 관한 실험적 연구)

  • Choung, Joon-Mo;Im, Sung-Woo;Park, Ro-Sik
    • Journal of Ocean Engineering and Technology
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    • v.25 no.3
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    • pp.66-72
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    • 2011
  • This is the fourth of a series of companion papers dealing with the mechanical property reductions of various marine structural steels. Even though a reduction of the elastic modulus according to temperature increases has not been obtained from experiments, high temperature experiments from room temperature to $900^{\circ}C$ revealed that initial the yield strength and tensile strength are both seriously degraded. The mechanical properties obtained from high temperature experiments are compared with those from EC3 (Eurocode 3). It is found that the high temperature test results generally comply with the prediction values by EC3. Based on the prediction of EC3, time domain nonlinear finite element analyses were carried out for a blast wall installed on a real FPSO. After applying the reduced mechanical properties, corresponding to $600^{\circ}C$ to the FE model of the blast wall, more than three times the deflections were observed and it was observed that most structural parts experience plastic deformations exceeding the reduced yield strength at the high temperature. It is noted that a protection facility such as PFP (passive fire protection) should be required for structures likely to be directly exposed to fire and explosion accident.

Development of Optimal Modeling System for Analyzing Mountain Micrometeorology (산림 미기상 해석을 위한 최적모델 개발)

  • Lee, SukJun;choi, YongHan;Jung, JeaHee;Won, MyoungSoo;Lim, Gyu-Ho
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.17 no.2
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    • pp.165-172
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    • 2015
  • The extreme weather conditions become frequent and severe with global warming. To prevent and cope forest disaster like a forest fire, we need an accurate micrometeorological prediction system for mountainous regions. This study addressed the forest fires occurred at Bonghwa and Gangneung in March, 2013. We constructed and optimized the prediction system that were required to interpret and simulate the forest micrometeorology. At first, we examined WRF physical sensitivity. Subsequently, KMA AWS observation data were assimilated using three-dimensional variation data assimilation method. The effectiveness of the assimilation was examined by using AWS observations enhanced with the Forest Research Institute observations. Finally, The 100 meters spatial resolution wind data were obtained by using the MUKLIMO for the given wind vector from WRF.

Development of a Tool for Predicting the Occurrence Time of BLEVE in Small LPG Storage Tanks (LPG소형저장탱크 BLEVE 발생 시점 예측 툴 개발)

  • Chae, Chung Keun;Lee, Jae Hun;Chae, Seung Been;Kim, Yong Gyu;Han, Shin Tak
    • Journal of the Korean Society of Safety
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    • v.35 no.4
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    • pp.74-83
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    • 2020
  • In Korea, about 110,000 LPG small storage tanks of less than three tons have been installed in restaurants, houses and factories, and are used as LPG supply facilities for cooking, heating and industrial use. In the case of combustible liquefied gas storage tanks, the tank may rupture due to the temperature increase of the tank steel plate (approximately 600℃) even when the safety valve is operating normally, causing large-scale damage in an instant. Therefore, in the event of a fire near the LPG small storage tank, it is necessary to accurately predict the timing of the BLEVE(Boiling Liquid Expanding Vapour Explosion) outbreak in order to secure golden time for lifesaving and safely carry out fire extinguishing activities. In this study, we have first investigated the results of a prior study on the prediction of the occurrence of BLEVE in the horizontal tanks. And we have developed thermodynamic models and simulation program on the prediction of BLEVE that can be applied to vertical tanks used in Korea, have studied the effects of the safety valve's ability to vent, heat flux strength of external fires, size of tanks, and gas remaining in tanks on the time of BLEVE occurrence and have suggested future utilization measures.

Clinical Usefulness of Critical Patient Severity Classification System(CPSCS) and Glasgow coma scale(GCS) for Neurological Patients in Intensive care units(ICU) (Glasgow coma scale의 임상적 유용성 평가 - 중환자 중증도 분류도구 -)

  • Kim, Hee-Jeong;Kim, Jee-Hee;Roh, Sang-Gyun
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 2012.04a
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    • pp.190-193
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    • 2012
  • The tools that classify the severity of patients based on the prediction of mortality include APACHE, SAPS, and MPM. Theses tools rely crucially on the evaluation of patients' general clinical status on the first date of their admission to ICU. Nursing activities are one of the most crucial factors influencing on the quality of treatment that patients receive and one of the contributing factors for their prognosis and safety. The purpose of this study was to identify the goodness-of-fit of CPSCS of critical patient severity classification system(CPSCS) and Glasgow coma scale(GCS) and the clinical usefulness of its death rate prediction. Data were collected from the medical records of 187 neurological patients who were admitted to the ICU of C University Hospital. The data were analyzed through $x^2$ test, t-test, Mann-Whitney, Kruskal-Wallis, goodness-of-fit test, and ROC curve. In accordance with patients' general and clinical characteristics, patient mortality turned out to be statistically different depending on ICU stay, endotracheal intubation, central venous catheter, and severity by CPSCS. Homer-Lemeshow goodness-of-fit tests were CPSCS and GCS and the results of the discrimination test using the ROC curve were $CPSCS_0$,.734, $GCS_0$,.583, $CPSCS_{24}$,.734, $GCS_{24}$,.612, $CPSCS_{48}$,.591, $GCS_{48}$,.646, $CPSCS_{72}$,.622, and $GCS_{72}$,.623. Logistic regression analysis showed that each point on the CPSCS score signifies1.034 higher likelihood of dying. Applied to neurologically ill patients, early CPSCS scores can be regarded as a useful tool.

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The Measurement and Estimation of the Lower Flash Points for tert-Pentanol + Propionic Acid and p-Xylene + Propionic Acid Systems Using Open-Cup Apparatus (개방식 장치를 이용한 tert-Pentanol + Propionic Acid 및 p-Xylene + Propionic Acid 계의 하부인화점 측정 및 예측)

  • Ha, Dong-Myeong;Lee, Sung-Jin
    • Fire Science and Engineering
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    • v.23 no.5
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    • pp.161-166
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    • 2009
  • The lower flash points for the tert-pentanol + propionic acid and p-xylene + propionic acid systems were measured by Tag open-cup apparatus. The experimental data were compared with the values calculated by the Raoult's law, the van Laar equation and the NRTL equation. The calculated values based on the van Laar and NRTL equations were found to be better than those based on the Raoult's law. It was concluded that the van Laar and NRTL equations were more effective than the Raoult' law at describing the activity coefficients for non-ideal solution such as the tert-pentanol + propionic acid and p-xylene + propionic acid systems. The predictive curve of the flash point prediction model based on the NRTL equation described the experimentally-derived data more effectively than was the case when the prediction model was based upon the van Laar equation.