Prediction of temperature of standard fire exposure

被引:1
|
作者
Jefimovas, Andrejus [1 ]
Maciulaitis, Romualdas [2 ]
Sikarskas, Donatas [1 ]
机构
[1] Minist Interior, Fire & Rescue Dept, Fire Res Ctr, Svitrigailos Str 18, LT-03223 Vilnius, Lithuania
[2] Vilnius Gediminas Tech Univ, Sauletekio Ave 11, LT-10223 Vilnius, Lithuania
关键词
wood; fire retardants; charring; prediction; ELECTRICAL-CONDUCTIVITY; SOMATIC-CELLS; WOOD; RETARDANTS; MILK; SAMPLES; COWS;
D O I
10.3846/13923730.2016.1268646
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This article describes equations derived to predict the duration of local pyrolytic charring under standard fire conditions. The equations consist of five variables: electrical capacity, electrical conductivity, calorific value, depth and rate of char. The equations are split up into two groups: one for the formation of non-impregnated carbonaceous residue, and one for impregnated carbonaceous residue during pyrolysis. This means that before predicting the local duration of charring, it is necessary to determine whether the wood has been impregnated with a fire retardant solution before the fire. Electrical conductivity and electrical capacity measurement methods were used for this purpose. The temperature of standard fire local exposure is calculated by predicting the duration of local pyrolytic charring according to the standard temperature and the time dependence of fire.
引用
收藏
页码:533 / 540
页数:8
相关论文
共 50 条
  • [21] Fire performance of CFRP-strengthened piloti-type columns with fire-resistant materials during standard fire exposure
    Shin, Jinwon
    Lee, Hansol
    Choi, In-Rak
    Min, Jeong-Ki
    Choi, Sung-Mo
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [22] Performance of Different Temperature Sensors in Standard Fire Resistance Test Furnaces
    Sultan, Mohamed A.
    FIRE TECHNOLOGY, 2010, 46 (04) : 853 - 881
  • [23] Performance of Different Temperature Sensors in Standard Fire Resistance Test Furnaces
    Mohamed A. Sultan
    Fire Technology, 2010, 46 : 853 - 881
  • [24] Prediction model of safety thermal exposure distance for firefighters in fire environment
    Su, Yun
    Zhang, Jinfeng
    Xu, Na
    Liu, Suyan
    Li, Jun
    Zhang, Xianghui
    INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2024, 205
  • [26] GAS ENVIRONMENT TEMPERATURE PREDICTION ALGORITHM UNDER FIRE IN BUILDING
    Varlamov, E. S.
    Bobkov, S. P.
    IZVESTIYA VYSSHIKH UCHEBNYKH ZAVEDENII KHIMIYA I KHIMICHESKAYA TEKHNOLOGIYA, 2015, 58 (10): : 82 - +
  • [27] Methods for Prediction of Temperature Distribution in Flashover Caused by Backdraft Fire
    Zhang, Guowei
    Zhu, Guoqing
    Yuan, Guanglin
    Huang, Lili
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
  • [28] The Temperature Prediction Model and Fire Control Method in RoboCup Rescue
    Liu, Zhiqian
    Liang, Zhiwei
    2014 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2014), 2014, : 488 - 493
  • [29] Compressive and flexural behaviour of concrete filled steel tubes after exposure to standard fire
    Han, LH
    Huo, JS
    Wang, YC
    PROCEEDINGS OF THE EIGHTH INTERNATIONAL SYMPOSIUM ON STRUCTURAL ENGINEERING FOR YOUNG EXPERTS, VOLS 1 AND 2, 2004, : 572 - 579
  • [30] FE modeling ofFRP-strengthened RC beams subjected to standard fire exposure
    Dai, J. G.
    Gao, W. Y.
    LIFE-CYCLE OF STRUCTURAL SYSTEMS: DESIGN, ASSESSMENT, MAINTENANCE AND MANAGEMENT, 2015, : 1313 - 1322