An Efficient Scheme for Coupling OpenMC and FLUENT with Adaptive Load Balancing
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...
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| Veröffentlicht in: | Science and technology of nuclear installations Jg. 2021; S. 1 - 16 |
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| Sprache: | Englisch |
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24.09.2021
John Wiley & Sons, Inc Wiley |
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| ISSN: | 1687-6075, 1687-6083 |
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| 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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| AbstractList | 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. |
| Author | Liu, Jie Guo, Xiaowei Yang, Bo Gong, Chunye Zhang, Qingyang Zhang, Guangchun Peng, Tianji Fan, Xukai |
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| Cites_doi | 10.1016/j.cma.2004.11.032 10.1016/j.nucengdes.2008.12.014 10.7538/yzk.2016.50.02.0301 10.1155/2020/2562747 10.1109/COMST.2018.2812301 10.1016/j.anucene.2020.107312 10.1016/j.anucene.2007.08.019 10.1016/j.pnucene.2006.10.002 10.1016/j.pnucene.2011.10.013 10.1016/j.anucene.2015.08.004 10.3390/jne2010005 10.1.1.205.616 10.1016/j.anucene.2013.08.016 10.1007/bf01118660 10.1109/access.2018.2878681 10.1007/s00366-017-0548-4 10.1016/j.nucengdes.2009.05.021 10.1137/1.9781611970944 10.1016/j.nucengdes.2019.05.008 10.1016/0029-5493(86)90249-9 10.1016/j.nucengdes.2013.06.012 10.1108/02644409610128382 10.13182/nse16-3 10.1016/j.rser.2013.01.035 10.1016/j.nucengdes.2012.06.007 10.1016/j.ces.2019.115289 10.13182/nse07-a2672 10.1016/j.anucene.2017.06.018 10.1016/j.anucene.2007.02.016 10.1016/j.pnucene.2017.03.025 |
| ContentType | Journal Article |
| Copyright | Copyright © 2021 Qingyang Zhang et al. Copyright © 2021 Qingyang Zhang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
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| SubjectTerms | Accuracy Adaptive algorithms Algorithms CAD Codes Computational fluid dynamics Computer aided design Computers Data exchange Efficiency Fluid dynamics Fluid flow Hydraulics Interfaces Iterative algorithms Iterative methods Load balancing Nodes Nuclear energy Performance enhancement Physics Sustainable development Thermal simulation |
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| Title | An Efficient Scheme for Coupling OpenMC and FLUENT with Adaptive Load Balancing |
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