摘要
以核电厂主控室电气柜火灾为研究对象,利用蒙特卡洛抽样法对热释放速率和产烟率这2个参数进行抽样,并输入CFAST程序进行计算。通过统计烟气层温度和光学密度2个输出量的分布,获得主控室人员撤离时间和概率信息,为火灾概率安全分析当中事件序列定量分析提供基础数据。
Based on the electrical cabinet fire scenario in the main control room, The paper use software, CFAST, by coupling with Monte Carlo, to analyze the uncertainty of heat release rate and soot yield. Distributions of layer temperature and optical density is used to assess the evacuation time and its probability, providing data base for quantitative analysis in fire probabilistic safety assessment.
作者
王万红
朱大欢
彭常宏
郭赟
Wang Wanhong;Zhu Dahuan;Peng Changhong;Guo Yun(School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, 230026, China;Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu, 610213, China)
出处
《核动力工程》
EI
CAS
CSCD
北大核心
2018年第2期153-156,共4页
Nuclear Power Engineering
基金
核反应堆系统设计技术重点实验室基金(SQ-KFKT-02-2016010)
