Time uncertainty analysis method for level 2 human reliability analysis of severe accident management strategies

被引:7
|
作者
Suh, Young A. [1 ]
Kim, Jaewhan [1 ]
Park, Soo Yong [1 ]
机构
[1] Korea Atom Energy Res Inst, Yuseong 305600, Daejeon, South Korea
基金
新加坡国家研究基金会;
关键词
Level 2 human reliability analysis; Severe accident management guideline; Time uncertainty analysis; Sums of lognormal distributions; Total loss of component cooling water (TLOCCW);
D O I
10.1016/j.net.2020.07.028
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
This paper proposes an extended time uncertainty analysis approach in Level 2 human reliability analysis (HRA) considering severe accident management (SAM) strategies. The method is a time-based model that classifies two time distribution functions-time required and time available-to calculate human failure probabilities from delayed action when implementing SAM strategies. The time required function can be obtained by the combination of four time factors: 1) time for diagnosis and decision by the technical support center (TSC) for a given strategy, 2) time for strategy implementation mainly by the local emergency response organization (ERO), 3) time to verify the effectiveness of the strategy and 4) time for portable equipment transport and installation. This function can vary depending on the given scenario and includes a summation of lognormal distributions and a choice regarding shifting the distribution. The time available function can be obtained via thermal-hydraulic code simulation (MAAP 5.03). The proposed approach was applied to assess SAM strategies that use portable equipment and safety depressurization system valves in a total loss of component cooling water event that could cause reactor vessel failure. The results from the proposed method are more realistic (i.e., not conservative) than other existing methods in evaluating SAM strategies involving the use of portable equipment. (C) 2020 Korean Nuclear Society, Published by Elsevier Korea LLC.
引用
收藏
页码:484 / 497
页数:14
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