arrow
返回

Numerical implementation of the MOOSE subchannel module (SCM) algorithm

delete2026-02-01
delete0
delete
OA
AI
V
Vasileios Kyriakopoulos *
M
Mauricio Tano
DOI:10.1016/j.nucengdes.2026.114802delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
MOOSE子通道模块(SCM,原称为Pronghorn-SC)是一种子通道代码,旨在解析核反应堆燃料棒组件中的单相流场并计算相关流变量。该模块模拟的组件包括:水冷、裸燃料棒在方形流道四边形栅格中;以及液态金属/水冷、裸/丝包燃料棒在六边形流道三角形栅格中。此前的研究已介绍了SCM的开发、验证与确认工作。本研究对SCM中实现的不同求解器进行了比较性概述,包括详细的求解器算法描述和性能对比。为展示求解器性能所选的两个测试案例来自PSBT焓混合基准测试和ORNL-19棒基准测试。
Keyword:
SCM
MOOSE
Subchannel
PETSc
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

N
Nuclear Engineering and Design
IF:
2.1
论文数:
452
被引数:
1.9W

机构

U
united states department of energy (doe)
学者数:
11.3W
论文数: 9.6W
被引数: 246
引用论文

引用论文

Development of a Single-Phase, Transient, Subchannel Code, within the MOOSE Multi-Physics Computational Framework
err
IF0
err2022-05-27
err0
PREAI
errVasileios Kyriakopoulos; Mauricio E. Tano; Jean C. Ragusa
err分享
err收藏
4.0 MOOSE: Enabling massively parallel Multiphysics simulation4.0 MOOSE:实现大规模并行多物理场仿真
err2025-09-01
err0
PREAI
errHarbour,Logan; Giudicelli,Guillaume; Lindsay,Alexander D.; German,Peter; Hansel,Joshua; Icenhour,Casey; Li,Mengnan; Miller,Jason M.; Stogner,Roy H.; Behne,Patrick; Yankura,Daniel; Prince,Zachary M.; DeChant,Corey; Schwen,Daniel; Spencer,Benjamin W.; Tano,Mauricio; Choi,Namjae; Wang,Yaqi; Nezdyur,Max; Miao,Yinbin; Hu,Tianchen; Kumar,Shikhar; Matthews,Christopher; Langley,Brandon; Nobre,Nuno; Blair,Alexander; MacMackin,Chris; Rocha,Henrique Bergallo; Palmer,Edward; Carter,Jesse; Meier,Jörg; Slaughter,Andrew E.; Andrš,David; Carlsen,Robert W.; Kong,Fande; Gaston,Derek R.; Permann,Cody J.
err分享
err收藏
Modeling of Flow Blockage in a Liquid Metal-Cooled Reactor Subassembly with a Subchannel Analysis Code
err2017-04-10
err0
PREAI
errHae-Yong Jeong; Kwi-Seok Ha; Won-Pyo Chang; Young-Min Kwon; Yong-Bum Lee
err分享
err收藏
Temperature Distribution in the Duct Wall and at the Exit of a 19-Rod Simulated LMFBR Fuel Assembly (FFM Bundle 2A)
err2017-05-13
err0
PREAI
errM. H. Fontana; R. E. MacPherson; P. A. Gnadt; L. F. Parsly; J. L. Wantland
err分享
err收藏
没有更多内容