Monte Carlo Alpha Iteration Algorithm for a Subcritical System Analysis
2015 · Science and Technology of Nuclear Installations
저자
심형진 (Hyung Jin Shim), Sang Hoon Jang, Soo Min Kang
연구주제
Nuclear reactor physics and engineering
NTIS 과학기술표준분류
에너지/자원만에너지·환경·원자력 확장
지원 과제·AI 키워드로 잡을 근거가 없어 분류하지 않았다.
AI 연구 키워드·방법
accelerator driven system alpha eigenvalue calculation prompt neutron decay constant subcritical system
키워드 (OpenAlex)
subcritical systems prompt neutron decay constant power method Monte Carlo neutron transport accelerator-driven system thorium
초록
Theα-kiteration method which searches the fundamental mode alpha-eigenvalue via iterative updates of the fission source distribution has been successfully used for the Monte Carlo (MC) alpha-static calculations of supercritical systems. However, theα-kiteration method for the deep subcritical system analysis suffers from a gigantic number of neutron generations or a huge neutron weight, which leads to an abnormal termination of the MC calculations. In order to stably estimate the prompt neutron decay constant (α) of prompt subcritical systems regardless of subcriticality, we propose a new MC alpha-static calculation method named as theαiteration algorithm. The new method is derived by directly applying the power method for theα-mode eigenvalue equation and its calculation stability is achieved by controlling the number of time source neutrons which are generated in proportion toαdivided …
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교수 1
연구주제 1
Nuclear reactor physics and engineering