LOCA evaluation considering critical flow model with uncertainty parameters

Ilsuk Lee, Youngseog Bang, Deogyeon Oh, Yongchan Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The purpose of the present work is to study the sensitivity of uncertainty parameters of critical flow on analysis of LOCA with MARS-KS (Multi-dimensional Analysis for Reactor Safety) used by KINS as independent regulatory assessment. In this paper, the uncertainty of critical flow model is considered by three parameters, thermal non-equilibrium factor, discharge coefficient and length to diameter ratio and it is determined uncertainty ranges by using large-scale Marviken experimental data. Break flow is strongly dependent on thermal non-equilibrium in the ruptured pipe with small L/D ratio, and appropriate thermal non-equilibrium values are provided in this study by analyzing results between Marviken experimental data and MARS-KS code. Additionally, a correlation for the relation between quality at the throat and L/D ratio was developed using the effect of quality with non-equilibrium on the critical mass flow rate. It also evaluated LBLOCA of APR1400 focused on the effect of three uncertainty parameters that affect PCT and the break flow. Results of plant analysis showed that deviation of PCT was 80.5ºC in the uncertainty range owing to super-heated liquid causing from the thermal non-equilibrium.

Original languageEnglish
Title of host publicationPBNC 2018 - Pacific Basin Nuclear Conference
PublisherAmerican Nuclear Society
Pages34-40
Number of pages7
ISBN (Electronic)9780894487743
Publication statusPublished - 2019
Event2018 Pacific Basin Nuclear Conference, PBNC 2018 - San Francisco, United States
Duration: 2018 Sept 302018 Oct 4

Publication series

NamePBNC 2018 - Pacific Basin Nuclear Conference

Conference

Conference2018 Pacific Basin Nuclear Conference, PBNC 2018
Country/TerritoryUnited States
CitySan Francisco
Period18/9/3018/10/4

ASJC Scopus subject areas

  • Nuclear Energy and Engineering

Fingerprint

Dive into the research topics of 'LOCA evaluation considering critical flow model with uncertainty parameters'. Together they form a unique fingerprint.

Cite this