• Title/Summary/Keyword: Fire data analysis

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Evaluation on Fire Test for the Concrete Filled Steel Tube Column -Fire Damage Evaluation on Steel Tube and Concrete after a Fire Test- (콘크리트충전 강관기둥의 내화실험에 대한 고찰 -재하가열실험후의 강관 및 콘크리트 화재손상평가를 중심으로-)

  • Park, Ki-Chang;Choi, Sung-Mo;Kim, Dong-Kyu
    • Journal of Korean Society of Steel Construction
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    • v.12 no.6
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    • pp.759-767
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    • 2000
  • In this study, the time dependent internal stress changes of a Concrete Filled Steel Tube(CFT) column during a fire test were quantitatively analyzed. The strain ratio of a CFT column on the different loads was measured by tensile strength tests in terms of yield strength, tensile strength average extensibility and elasticity modulus. To understand the internal material properties change of concrete in CFT column damaged due to a fire, the compressive strength and elastic modulus tests were measured on a core sample from the center of the steel tube after the fire test. The elastic modulus test measured the strain from the stress. To determine the fire temperature of the test material, a differential thermal analysis was done. From the tested result, the gained data were conducted and an analysis method was suggested. The purpose of this work is to suggest a basic data for structure regulation enactments of the internal fire design of CFT.

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Fire Occurrence Pattern Analysis and Fire Risk Calculation of Jinju City (진주시 화재발생 패턴분석과 위험등급 산출)

  • Bae, Gyu Han;Yoo, Hwan Hee
    • Journal of Korean Society for Geospatial Information Science
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    • v.22 no.4
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    • pp.151-157
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    • 2014
  • Diverse and complex facilities have been on the increase in urban areas in accordance with rapid urbanization. Along the lines of the increase in facilities, the risk of fire has increased. In particular, fire accidents as well as traffic accidents accounted for the highest rate in artificial disasters. Therefore, the National Fire Information Systems managed by the National Emergency Management Agency (NEMA) appeared for the effective fire management. The NEMA has provided the public with the Internet services regarding information about fire outbreak since 2007. This study acquired data from both NEMA and the Jinju City Fire Department. It constructed the fire data of Jinju City and calculated the change in spatial density targeting fire, occurred in Jinju city with a view to examining the fire risk of facilities by conducting a time series analysis on the trends of fire outbreak over a span of periods between 2007 and 2013. It also conducted an analysis of Moran's I, Getis-Ord Gi. Therefore, it came to select higher hot spots in terms of fire location and fire density. In addition, it attempted to calculate the levels of fire hazard by drawing up the matrix of personal injury and property damage, depending on facilities to present the methods, which can predict the risk of fire occurrence in urban areas.

Sensitivity Analysis of FDS Results for the Input Uncertainty of Fire Heat Release Rate (화재 열발생률 입력 불확실도에 대한 FDS 결과의 민감도 분석)

  • Cho, Jae-Ho;Hwang, Cheol-Hong;Kim, Joosung;Lee, Sangkyu
    • Journal of the Korean Society of Safety
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    • v.31 no.1
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    • pp.25-32
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    • 2016
  • A sensitivity analysis of FDS(Fire Dynamics Simulator) results for the input uncertainty of heat release rate (Q) which might be the most influencing parameter to fire behaviors was performed. The calculated results were compared with experimental data obtained by the OECD/NEA PRISME project. The sensitivity of FDS results with the change in Q was also compared with the empirical correlations suggested in previous literature. As a result, the change in the specified Q led to the different dependence of major quantities such as temperature and species concentrations for the over- and under-ventilated fire conditions, respectively. It was also found that the sensitivity of major quantities to uncertain value of Q showed the significant difference in results obtained using the previous empirical correlations.

An Impact Analysis and Prediction of Disaster on Forest Fire

  • Kim, Youn Su;Lee, Yeong Ju;Chang, In Hong
    • Journal of Integrative Natural Science
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    • v.13 no.1
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    • pp.34-40
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    • 2020
  • This study aims to create a model for predicting the number of extinguishment manpower to put out forest fires by taking into account the climate, the situation, and the extent of the damage at the time of the forest fires. Past research has been approached to determine the cause of the forest fire or to predict the occurrence of a forest fire. How to deal with forest fires is also a very important part of how to deal with them, so predicting the number of extinguishment manpower is important. Therefore predicting the number of extinguishment manpower that have been put into the forest fire is something that can be presented as a new perspective. This study presents a model for predicting the number of extinguishment manpower inputs considering the scale of the damage with forest fire on a scale bigger than 0.1 ha as data based on the forest fire annual report(Korea Forest Service; KFS) from 2015 to 2018 using the moderated multiple regression analysis. As a result, weather factors and extinguished time considering the damage show that affect forest fire extinguishment manpower.

A sensitivity analysis of machine learning models on fire-induced spalling of concrete: Revealing the impact of data manipulation on accuracy and explainability

  • Mohammad K. al-Bashiti;M.Z. Naser
    • Computers and Concrete
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    • v.33 no.4
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    • pp.409-423
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    • 2024
  • Using an extensive database, a sensitivity analysis across fifteen machine learning (ML) classifiers was conducted to evaluate the impact of various data manipulation techniques, evaluation metrics, and explainability tools. The results of this sensitivity analysis reveal that the examined models can achieve an accuracy ranging from 72-93% in predicting the fire-induced spalling of concrete and denote the light gradient boosting machine, extreme gradient boosting, and random forest algorithms as the best-performing models. Among such models, the six key factors influencing spalling were maximum exposure temperature, heating rate, compressive strength of concrete, moisture content, silica fume content, and the quantity of polypropylene fiber. Our analysis also documents some conflicting results observed with the deep learning model. As such, this study highlights the necessity of selecting suitable models and carefully evaluating the presence of possible outcome biases.

Integrated fire dynamic and thermomechanical modeling of a bridge under fire

  • Choi, Joonho;Haj-Ali, Rami;Kim, Hee Sun
    • Structural Engineering and Mechanics
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    • v.42 no.6
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    • pp.815-829
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    • 2012
  • This paper proposes a nonlinear computational modeling approach for the behaviors of structural systems subjected to fire. The proposed modeling approach consists of fire dynamics analysis, nonlinear transient-heat transfer analysis for predicting thermal distributions, and thermomechanical analysis for structural behaviors. For concretes, transient heat formulations are written considering temperature dependent heat conduction and specific heat capacity and included within the thermomechanical analyses. Also, temperature dependent stress-strain behaviors including compression hardening and tension softening effects are implemented within the analyses. The proposed modeling technique for transient heat and thermomechanical analyses is first validated with experimental data of reinforced concrete (RC) beams subjected to high temperatures, and then applied to a bridge model. The bridge model is generated to simulate the fire incident occurred by a gas truck on April 29, 2007 in Oakland California, USA. From the simulation, not only temperature distributions and deformations of the bridge can be found, but critical locations and time frame where collapse occurs can be predicted. The analytical results from the simulation are qualitatively compared with the real incident and show good agreements.

The Abstraction of Forest Fire Damage Area using Factor Analysis from the Satellite Image Data (위성영상 자료에서 요인분석에 의한 산불 피해 지역 추출)

  • Choi, Seung-Pil;Lee, Suk-Kum;Kim, Dong-Hee
    • Journal of Korean Society for Geospatial Information Science
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    • v.14 no.1 s.35
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    • pp.13-19
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    • 2006
  • When investigating the damage of a forest fire, quite a few are depending on the naked eye observation. However, if the damage spreads to another area, it is easy to use the satellite images because it is hard to reach all the damaged areas on foot. From this research, we did a statistical interpretation of after fire using satellite image data to classify the damage on first and second factor analysis. As a result, it was more easier to classify the river's plants and ridges between rice fields that were in the forest fire damage area in the second observation then the first observation. Also, we could classify the area by areas that were damaged more or less using the second factor analysis. To verify this, we used the forest fire images collected from the satellite images and the actual survey data collected from spectral radiometer to see if these two datawere correlated and as a result we found out that they were highly involved.

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Study on Fire Resistance Performance According to Boundary Conditions for Beams Made of High-Strength Structural Steels Using Analytical Methods (경계조건에 따른 고강도 H형강 부정정 보부재의 해석적 내화성능 연구)

  • Kwon, In-Kyu
    • Fire Science and Engineering
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    • v.29 no.5
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    • pp.23-28
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    • 2015
  • Recently, structural materials have been developed to have high performance, and SM 520 has been developed and used for high-rise buildings. However, fires frequently occur in buildings, and the number of victims and amount of damage increase year by year. However, the evaluation of fire resistance performance for structural beams made of SM 520 is done with specimens made of ordinary structural steels with boundary conditions of a fixed beam, and the results are allowed for use in steel-framed buildings. This study analyzed the fire resistance performance of statistically indeterminate beams built with SM 520. The analysis used a fire engineering technique that includes mechanical and thermal data of SM 520 and heat transfer theory, and heat stress analysis was also conducted. The results from the analysis were compared with those from a statistically determinate beam made of ordinary structural steels.

Predicting on Human-caused Forest Fire Occurrence in South Korea

  • Chae, Hee Mun;Lee, Chan yong
    • Journal of Korean Society of Forest Science
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    • v.95 no.2
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    • pp.160-167
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    • 2006
  • Most of the forest fires that occur in South Korea are caused by human. We partitioned South Korea into nine districts and used observed weather data and daily fire occurrence records for the 1994 to 2003 period to develop a human-caused fire occurrence model of South Korea. Logistic regression analysis techniques were used to relate the probability of a fire day to Fine Fuel Moisture Code (FFMC) component of the Canadian Forest Fire Danger Rating System. The probability of the number of fire day was increased as FFMC increased in the nine districts of South Korea.

A Comparative Analysis of Domestic and Foreign Standards to Improve the Performance of Zone Smoke Control System (거실 제연설비 성능 개선을 위한 국내·외 기준 비교 분석에 관한 연구)

  • Huh, Ye-Rim;Kim, Yoon-Seong;Kim, Hye-won;Jin, Seung-Hyeon;Kwon, Young-Jin
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2022.04a
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    • pp.83-84
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    • 2022
  • In Korea, smoke control measures through NFSC 501 are proposed to reduce human casualties caused by smoke in the event of a fire. However, as a result of investigating and analyzing domestic and foreign standards, it was found that domestic regulations do not set fire source, but simply set smoke emissions by floor area or height of smoke boundary. Foreign regulations set fire source. Therefore, it is judged that it is necessary to review whether the current domestic regulations can be applied in the event of an actual building fire. So, this paper aims to identify the differences in domestic and foreign standards through investigation and analysis of related standards for fire zone smoke control system in each country and use them as basic data to improve the performance of zone smoke control system.

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