Nuclear Engineering and Technology

  • 제55권5호
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  • Pages.1924-1934
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  • 2023
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  • 1738-5733(pISSN)
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  • 2234-358X(eISSN)
한국원자력학회 (Korean Nuclear Society)
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Statistical analysis of S-N type environmental fatigue data of Ni-base alloy welds using weibull distribution

  • Jae Phil Park (School of Mechanical Engineering, Pusan National University) ;
  • Junhyuk Ham (Department of Nuclear Engineering, Ulsan National Institute of Science and Technology) ;
  • Subhasish Mohanty (Nuclear Science and Engineering, Argonne National Laboratory) ;
  • Dayu Fajrul Falaakh (School of Mechanical Engineering, Pusan National University) ;
  • Ji Hyun Kim (Department of Nuclear Engineering, Ulsan National Institute of Science and Technology) ;
  • Chi Bum Bahn (School of Mechanical Engineering, Pusan National University)
  • 투고 : 2022.03.02
  • 심사 : 2022.08.08
  • 발행 : 2023.05.25
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초록

In this study, the probabilistic fatigue life model for Ni-base alloys was developed based on the Weibull distribution using statistical analysis of fatigue data reported in NUREG/CR-6909 and the new fatigue data of Alloy 52M/152 and 82/182. The developed Weibull model can consider right-censored data (i.e., non-failed data) and quantify the improved safety (or reliability) based on the level of failure probability. The overall margin in the current fatigue design limit model (ASME design curve + NUREG/CR-6909 Fen model) is similar to that of the Weibull model with a cumulative failure probability of approximately 2.5%. The margin in the current fatigue design limit model demonstrated inconsistencies for the Ni-base alloy weld data, whereas the Weibull model showed a consistent margin. Therefore, the Weibull model can systematically mitigate the excessive safety margin.

키워드

과제정보

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT: Ministry of Science and ICT) (No. 2019M2A8A100064013) and also supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (No. 20214000000410). Part of the reported work was also supported through INERI and U.S. Department of Energy's Light Water Reactor Sustainability program under the work package of environmental fatigue study. Part of the reported work has been created by UChicago Argonne, LLC, Operator of Argonne National Laboratory ("Argonne"). Argonne, a U.S. Department of Energy Office of Science laboratory, is operated under Contract No. DE-AC02-06CH11357. The U.S. Government retains for itself, and others acting on its behalf, a paid-up nonexclusive, irrevocable worldwide license in said article to reproduce, prepare derivative works, distribute copies to the public, and perform publicly and display publicly, by or on behalf of the Government.

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