RMC - A Monte Carlo code for reactor core analysis

被引：265

作者：

Wang, Kan ^{[1
]}

Li, Zeguang ^{[2
]}

She, Ding ^{[1
]}

Liang, Jin'gang ^{[1
]}

Xu, Qi ^{[1
]}

Qiu, Yishu ^{[1
]}

Yu, Jiankai ^{[1
]}

Sun, Jialong ^{[1
]}

Fan, Xiao ^{[1
]}

Yu, Ganglin ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Engn Phys, Beijing 100084, Peoples R China

[2] Tsinghua Univ, INET, Beijing 100084, Peoples R China

来源：

ANNALS OF NUCLEAR ENERGY | 2015年 / 82卷

关键词：

RMC; Monte Carlo; Reactor analysis; Source convergence; Burnup calculation;

D O I：

10.1016/j.anucene.2014.08.048

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：

A new Monte Carlo transport code RMC has been being developed by Department of Engineering Physics, Tsinghua University, Beijing as a tool for reactor core analysis on high-performance computing platforms. To meet the requirements of reactor analysis, RMC now has such functions as criticality calculation, fixed-source calculation, burnup calculation and kinetics simulations. Some techniques for geometry treatment, new burnup algorithm, source convergence acceleration, massive tally and parallel calculation, and temperature dependent cross sections processing are researched and implemented in RMC to improve the efficiency. Validation results of criticality calculation, burnup calculation, source convergence acceleration, tallies performance and parallel performance shown in this paper prove the capabilities of RMC in dealing with reactor analysis problems with good performances. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：121 / 129

页数：9

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