An Efficient Scheme for Coupling OpenMC and FLUENT with Adaptive Load Balancing

IF 1 4区工程技术 Q3 NUCLEAR SCIENCE & TECHNOLOGY

Science and Technology of Nuclear Installations Pub Date : 2021-09-24 DOI:10.1155/2021/5549602

Qingyang Zhang, Tianji Peng, Guangchun Zhang, Jie Liu, Xiaowei Guo, Chunye Gong, Bo Yang, Xukai Fan

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引用次数: 7

Abstract

This paper develops a multi-physics interface code MC-FLUENT to couple the Monte Carlo code OpenMC with the commercial computational fluid dynamics code ANSYS FLUENT. The implementations and parallel performances of block Gauss–Seidel-type and block Jacobi-type Picard iterative algorithms have been investigated. In addition, this paper introduces two adaptive load-balancing algorithms into the neutronics and thermal-hydraulics coupled simulation to reduce the time cost of computation. Considering that the different scalability of OpenMC and FLUENT limits the performance of block Gauss–Seidel algorithm, an adaptive load-balancing algorithm that can increase the number of nodes dynamically is proposed to improve its efficiency. Moreover, with the natural parallelism of block Jacobi algorithm, another adaptive load-balancing algorithm is proposed to improve its performance. A 3 x 3 PWR fuel pin model and a 1000 MWt ABR metallic benchmark core were used to compare the performances of the two algorithms and verify the effectiveness of the two adaptive load-balancing algorithms. The results show that the adaptive load-balancing algorithms proposed in this paper can greatly improve the computing efficiency of block Jacobi algorithm and improve the performance of block Gauss–Seidel algorithm when the number of nodes is large. In addition, the adaptive load-balancing algorithms are especially effective when a case demands different computational power of OpenMC and FLUENT.

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基于自适应负载均衡的OpenMC与FLUENT的有效耦合方案

本文开发了一个多物理接口程序MC-FLUENT，将蒙特卡罗程序OpenMC与商业计算流体动力学程序ANSYS FLUENT相耦合。研究了块高斯-塞德尔型和块雅可比型Picard迭代算法的实现及其并行性能。此外，本文还将两种自适应负载平衡算法引入到中子学和热工水力学耦合仿真中，以降低计算的时间成本。考虑到OpenMC和FLUENT的不同可扩展性限制了块高斯-塞德尔算法的性能，提出了一种可以动态增加节点数量的自适应负载平衡算法来提高其效率。此外，利用块雅可比算法的自然并行性，提出了另一种自适应负载均衡算法来提高其性能。A 3 x 3压水堆燃料引脚模型和1000 使用MWt-ABR金属基准核对两种算法的性能进行了比较，验证了两种自适应负载均衡算法的有效性。结果表明，当节点数量较大时，本文提出的自适应负载均衡算法可以大大提高块Jacobi算法的计算效率，并提高块Gauss–Seidel算法的性能。此外，当一个案例需要不同的OpenMC和FLUENT计算能力时，自适应负载平衡算法尤其有效。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Science and Technology of Nuclear Installations NUCLEAR SCIENCE & TECHNOLOGY-

CiteScore

2.30

自引率

9.10%

发文量

审稿时长

4-8 weeks

期刊介绍： Science and Technology of Nuclear Installations is an international scientific journal that aims to make available knowledge on issues related to the nuclear industry and to promote development in the area of nuclear sciences and technologies. The endeavor associated with the establishment and the growth of the journal is expected to lend support to the renaissance of nuclear technology in the world and especially in those countries where nuclear programs have not yet been developed.