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基于RAVEN的SGTR事故概率安全裕度分析方法研究
引用本文:孔焕俊,刘子寅,徐安琪,王贺. 基于RAVEN的SGTR事故概率安全裕度分析方法研究[J]. 核动力工程, 2021, 42(6): 120-127. DOI: 10.13832/j.jnpe.2021.06.0120
作者姓名:孔焕俊  刘子寅  徐安琪  王贺
作者单位:哈尔滨工程大学核科学与与技术学院,哈尔滨,150001;西安交通大学核科学与与技术学院,西安,710049;哈尔滨工程大学核科学与与技术学院,哈尔滨,150001
摘    要:介绍了一种基于RAVEN软件通过蒙特卡洛(MC)抽样的风险指引的安全裕度特性分析(RISMC)方法,综合分析热工参数、人员动作时刻不确定性对蒸汽发生器传热管破裂(SGTR)事故安全裕度的影响,并将计算结果与传统安全评价方法进行比证。针对事故关键影响参数,基于MC抽样量化影响安全裕度的关键参数样本,利用RELAP5程序建立SGTR事故的系统仿真模型,通过RAVEN软件进行耦合计算并加以分析,最终获得该电厂模型在辅助给水系统失效情况下SGTR事故的概率安全裕度及其对各影响参数的敏感度。 

关 键 词:风险指引的安全裕度特性分析(RISMC)  蒙特卡洛(MC)抽样  RAVEN  蒸汽发生器传热管破裂事故(SGTR)
收稿时间:2020-09-28

Research on Probabilistic Safety Margin Analysis Method of SGTR Based on Raven
Affiliation:1.School of Nuclear Science and Technology, Harbin Engineering University, Harbin, 150001, China2.School of Nuclear Science and Technology, Xi’an Jiaotong University, Xi’an, 710049, China
Abstract:A Risk-informed Safety Margin Characterization (RISMC) analysis method based on RAVEN software and Monte Carlo (MC) sampling is introduced in the paper. The influence of thermal parameters and personnel action time uncertainty on the safety margin of steam generator tube rupture (SGTR) accident is comprehensively analyzed. The calculation results are compared with the traditional safety assessment methods. Aiming at the key influence parameters of the accident, based on MC sampling to quantify the key parameter samples affecting the safety margin, the system simulation model of SGTR accident is established by RELAP5 program, coupled calculation and analysis are carried out by RAVEN software. And finally the probabilistic safety margin of SGTR accident and its sensitivity to various influencing parameters are obtained under the condition of auxiliary water supply system failure. 
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