Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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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

  • Kim, Jun-Young (Department of Quantum & Nuclear Engineering, Graduate School, Sejong University) ;
  • Lee, Jong Min (Department of Mechanical Engineering, Graduate School, Korea University) ;
  • Park, Jun Geun (Department of Mechanical Engineering, Graduate School, Seoul National University of Science and Technology) ;
  • Kim, Jong-Sung (Department of Quantum & Nuclear Engineering, Sejong University) ;
  • Cho, Min Ki (Doosan Heavy Industries) ;
  • Ahn, Sang Won (SMARTEK E&C) ;
  • Koo, Gyeong-Hoi (Korea Atomic Energy Research Institute) ;
  • Lee, Bong Hee (KEPCO E&C, Inc.) ;
  • Huh, Nam-Su (Department of Mechanical Engineering, Seoul National University of Science and Technology) ;
  • Kim, Yun-Jae (Department of Mechanical Engineering, Korea University) ;
  • Kim, Jong-In (Doosan Heavy Industries) ;
  • Nam, Il-Kwun (KEPCO E&C, Inc.)
  • Received : 2021.04.20
  • Accepted : 2021.07.06
  • Published : 2022.01.25
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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.

Keywords

Acknowledgement

This work was supported by Korea Institute of Energy Technology Evaluation and Planning (KETEP) (No. 20181510102380). "The authors would like to thank Enago (www.enago.co.kr/) for the English language review."

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