Round robin analysis to investigate sensitivity of analysis results to finite element elastic-plastic analysis variables for nuclear safety class 1 components under severe seismic load

Jun Young Kim, Jong Min Lee, Jun Geun Park, Jong Sung Kim, Min Ki Cho, Sang Won Ahn, Gyeong Hoi Koo, Bong Hee Lee, Nam Su Huh, Yun Jae Kim, Jong In Kim, Il Kwun Nam

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

As a part of round robin analysis to develop a finite element elastic-plastic seismic analysis procedure for nuclear safety class 1 components, a series of parametric analyses was carried out on the simulated pressurizer surge line system model to investigate sensitivity of the analysis results to finite element analysis variables. The analysis on the surge line system model considered dynamic effect due to the seismic load corresponding to PGA 0.6 g and elastic-plastic material behavior based on the Chaboche combined hardening model. From the parametric analysis results, it was found that strains such as accumulated equivalent plastic strain and equivalent plastic strain are more sensitive to the analysis variables than von Mises effect stress. The parametric analysis results also identified that finite element density and ovalization option in the elbow elements have more significant effect on the analysis results than the other variables.

Original languageEnglish
Pages (from-to)343-356
Number of pages14
JournalNuclear Engineering and Technology
Volume54
Issue number1
DOIs
Publication statusPublished - 2022 Jan

Keywords

  • Finite element elastic-plastic analysis
  • Nuclear safety class 1 components
  • Round robin analysis
  • Severe seismic load
  • Variable sensitivity

ASJC Scopus subject areas

  • Nuclear Energy and Engineering

Fingerprint

Dive into the research topics of 'Round robin analysis to investigate sensitivity of analysis results to finite element elastic-plastic analysis variables for nuclear safety class 1 components under severe seismic load'. Together they form a unique fingerprint.

Cite this