SNUEI

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

몬테카를로 시뮬레이션

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 …

이 논문을 지원한 국가R&D 과제 (NTIS 성과)

NTIS 성과DB(2020–24)에서 DOI 매칭 없음

인접 그래프

노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동

이 문서와 연결된 페이지

교수 1

심형진

연구주제 1

Nuclear reactor physics and engineering

방법 1

몬테카를로 시뮬레이션