Monte Carlo burnup and its uncertainty propagation analyses for VERA depletion benchmarks by McCARD
2018 · Nuclear Engineering and Technology
저자
Ho Jin Park, Dong Hyuk Lee, Byoung Kyu Jeon, 심형진 (Hyung Jin Shim)
연구주제
Nuclear reactor physics and engineering · Nuclear and radioactivity studies · Nuclear Engineering Thermal-Hydraulics
NTIS 과학기술표준분류
에너지/자원만에너지·환경·원자력 확장
지원 과제·AI 키워드로 잡을 근거가 없어 분류하지 않았다.
AI 연구 키워드·방법
연소도 해석 핵자료 불확도 vera depletion benchmark
키워드 (OpenAlex)
nuclear fuel depletion error propagation matrix exponential method sensitivity analysis stochastic sampling gadolinium isotopes infinite multiplication factor
초록
For an efficient Monte Carlo (MC) burnup analysis, an accurate high-order depletion scheme to consider the nonlinear flux variation in a coarse burnup-step interval is crucial accompanied with an accurate depletion equation solver. In a Seoul National University MC code, McCARD, the high-order depletion schemes of the quadratic depletion method (QDM) and the linear extrapolation/quadratic interpolation (LEQI) method and a depletion equation solver by the Chebyshev rational approximation method (CRAM) have been newly implemented in addition to the existing constant extrapolation/backward extrapolation (CEBE) method using the matrix exponential method (MEM) solver with substeps. In this paper, the quadratic extrapolation/quadratic interpolation (QEQI) method is proposed as a new high-order depletion scheme. In order to examine the effectiveness of the newly-implemented depletion modules in…
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연구주제 1
Nuclear reactor physics and engineering