Sensitivity analysis of debris properties in lower plenum of a Nordic BWR

被引:6
作者
Galushin, Sergey [1 ]
Kudinov, Pavel [1 ]
机构
[1] Royal Inst Technol KTH, AlbaNova Univ Ctr, SE-10691 Stockholm, Sweden
关键词
Severe accident; Nordic BWR; ROAAM; MELCOR;
D O I
10.1016/j.nucengdes.2018.03.029
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
Severe accident management (SAM) in Nordic Boiling Water Reactors (BWR) employs ex-vessel core debris coolability. The melt released from the vessel is poured into a deep pool of water and is expected to fragment, quench, and form a coolable debris bed. Success of the strategy is contingent upon the melt release mode from the vessel, which determine conditions for (i) the debris bed coolability, (ii) steam explosion that present credible threats to containment integrity. Melt release conditions are recognized as the major source of uncertainty in quantification of the risk of containment failure in Nordic BWRs. The characteristics of melt release are determined by the in-vessel accident scenarios and phenomena, subject to aleatory and epistemic uncertainties respectively. Specifically, properties of the debris relocated into the lower head determine conditions for the corium interactions with the vessel structures (such as instrumentation guide tubes IGTs, control rod guide tubes CRGTs), vessel failure and melt release. This work is focused on the evaluation of uncertainty in core degradation progression and its effect on the resultant properties of relocated debris in lower plenum of Nordic BWR. We use MELCOR code for prediction of the accident progression. The main goal of this paper is to characterize the range of possible debris properties in lower plenum and its sensitivity towards different modelling parameters, which is of paramount importance for the analysis of in-vessel debris coolability and vessel failure mode in the risk assessment framework.
引用
收藏
页码:374 / 382
页数:9
相关论文
共 25 条
[1]  
Adams B. M., 2014, MULTILEVEL PARALLEL
[2]  
Akinaga Makoto, 2004, PROBABLISTIC EVALUAT
[3]  
[Anonymous], 2009, PROBABILITY STAT ENG
[4]  
[Anonymous], 2007, Sensitivity analysis in practice: A guide to assessing scientific models (Reprinted)
[5]   An effective screening design for sensitivity analysis of large models [J].
Campolongo, Francesca ;
Cariboni, Jessica ;
Saltelli, Andrea .
ENVIRONMENTAL MODELLING & SOFTWARE, 2007, 22 (10) :1509-1518
[6]  
Denman M. R., 2015, SAND20156612 SAND NA, VII
[7]   Analysis of core degradation and relocation phenomena and scenarios in a Nordic-type BWR [J].
Galushin, Sergey ;
Kudinov, Pavel .
NUCLEAR ENGINEERING AND DESIGN, 2016, 310 :125-141
[8]  
Gauntt R. O., 2005, NUREGCR6119, V2
[9]  
Gauntt R. O, 2014, SAND20142210
[10]  
Gauntt R.O., 2005, MELCOR Computer Code Manuals, VVolume 2