PROBABILISTIC REACTOR DYNAMICS .2. A MONTE-CARLO STUDY OF A FAST-REACTOR TRANSIENT

被引：58
|
作者：
SMIDTS, C
DEVOOGHT, J
机构：
[1] Universite Libre de Bruxelles, Brussels
来源：
NUCLEAR SCIENCE AND ENGINEERING | 1992年 / 111卷 / 03期
关键词：
D O I：
10.13182/NSE92-A23938
中图分类号：
TL [原子能技术]; O571 [原子核物理学];
学科分类号：
0827 ; 082701 ;
摘要：
The concept of how probabilistic reactor dynamics applies to a realistic problem, an accidental transient of the primary side of a fast reactor, is demonstrated. A full description of the reactor model, including physical variables, evolution laws, and failure rates with their dependence on physical variables, is given. Failure probabilities and failure and success time distributions are evaluated. Vectorized and nonvectorized versions of a Monte Carlo algorithm as well as biased and nonbiased versions of this algorithm are compared.
引用
收藏
页码：241 / 256
页数：16
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