首页  科学研究  学术论文  2014年
 
D. P. Kong, S. X. Lu, Q. M. Xie, S. M. Lo and Q. S. Kang (2014) Fire Technology 50 977-991.
文章来源:SKLFS    作者:SKLFS    发布时间:2015-03-29

D. P. Kong, S. X. Lu, Q. M. Xie, S. M. Lo and Q. S. Kang (2014) Fuzzy Risk Assessment for Life Safety Under Building Fires. Journal/Fire Technology 50 977-991. [In English]
Web link: http://dx.doi.org/10.1007/s10694-011-0223-z
Keywords: Building fire; Risk assessment; Fuzzy set; Event tree; Uncertainty; EVACUATION; TIME; SETS; SYSTEMS; NUMBERS; MODEL

Abstract: Many uncertainties are introduced inevitably during estimating fire risk for life safety in buildings. Probabilistic methods, the most widely used method to deal with uncertainties, require a large number of historical data. Due to the uniqueness of building fires, such data are rarely available. In order to address this limitation, a fuzzy risk assessment method for life safety under building fires is presented. Event tree is constructed to analyze potential fire scenarios arisen from the failure of fire protection systems. According to the definition of fire risk for life safety, occurrence likelihoods and expected casualty numbers of fire scenarios are estimated with consideration of some uncertainties. Due to limited statistical data and poor knowledge about fire dynamic and evacuation, fuzzy numbers are employed to describe these uncertainties. Based on calculated occurrence likelihood and expected casualty number for a fire scenario, the risk of life safety for a fire scenario is obtained as a fuzzy number. A practical case study for a hypothetical one storey commercial building is carried out with the assessment method presented in this paper and compared with the conventional probabilistic assessment results.

 
 
相关链接
D. P. Kong, S. X. Lu, Q. M. Xie, S. M. Lo and Q. S. Kang (2014) Fire Technology 50 977-991.
联系我们
安徽省合肥市金寨路96号
中国科学技术大学
火灾安全全国重点实验室
邮政编码:230026
   
Tel:(+86)551 63601651
Fax:(+86)551 63601669
E-mail:sklfs@ustc.edu.cn
Copyright © 1990-2011 State Key Laboratory of Fire Science, University of Science and Technology of China
火灾科学国家重点实验室 版权所有 皖ICP备:002106505 号