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Internal multi-scale multi-physics coupled system for high fidelity simulation of light water reactors

机译:内部多尺度多物理场耦合系统,用于轻水反应堆的高保真模拟

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摘要

In order to increase the accuracy and the degree of spatial and energy resolution of core design studies, coupled 3D neutronic (multi-group deterministic and continuous energy Monte-Carlo) and 3D thermal hydraulic (CFD and subchannel) codes are being developed worldwide. At KIT, both deterministic and Monte-Carlo codes were coupled with subchannel codes and applied to predict the safety-related design parameters such as minimal critical power ratio (MCPR), maximal cladding and fuel temperature, departure from nuclide boiling ratio (DNBR). These coupling approaches were revised and considerably improved. Innovative method of internal on-the-fly thermal feedback interchange between the codes was implemented. It no longer relies on explicit material definitions and allows the modeling of temperature and density distributions based on the cell coordinates. In contrast to all existing coupled schemes, this method uses only standard MCNP geometry input and requires only proper definition of the geometrical dimensions. The initial material definition is arbitrary and is determined on-the-fly during the neutron transport by the thermal-hydraulic feedback. Another key issue addressed is the optimal application of parallel computing and the implementation of less time consuming tally estimators. Using multi-processor computer architectures and implementing collision density flux estimator, it is possible to reduce the Monte-Carlo running time and obtain converged results within reasonable time limit. The coupled calculation was accelerated further, by implementing stochastic approximation-based relaxation technique. Further, it is shown that large fuel assemblies can be analyzed on subchannel level.
机译:为了提高核心设计研究的准确性以及空间和能量分辨率的程度,正在全球范围内开发耦合3D中子学(多组确定性和连续能量蒙特卡洛)和3D热液压(CFD和子通道)代码。在KIT,确定性代码和蒙特卡洛代码均与子通道代码结合使用,并用于预测与安全相关的设计参数,例如最小临界功率比(MCPR),最大包层和燃料温度,偏离核沸腾率(DNBR)。对这些耦合方法进行了修订,并进行了很大的改进。实现了代码之间内部动态热反馈交换的创新方法。它不再依赖明确的材料定义,而是可以基于单元坐标对温度和密度分布进行建模。与所有现有的耦合方案相比,此方法仅使用标准MCNP几何输入,并且仅需要正确定义几何尺寸。初始材料定义是任意的,并且是在中子传输过程中通过热工液压反馈动态确定的。解决的另一个关键问题是并行计算的最佳应用以及耗时更少的理货估算器的实现。使用多处理器计算机体系结构并实现碰撞密度通量估算器,可以减少蒙特卡洛运行时间,并在合理的时限内获得收敛的结果。通过实施基于随机逼近的松弛技术,进一步加快了耦合计算的速度。此外,示出了可以在子通道水平上分析大型燃料组件。

著录项

  • 来源
    《Annals of nuclear energy》 |2014年第4期|104-112|共9页
  • 作者单位

    Karlsruhe Institute of Technology, Institute of Neutron Physics and Reactor Technology, Herman-vom-Helmholtz-Platz-1, 76344 Eggenstein-Leopoldshafen, Germany;

    Karlsruhe Institute of Technology, Institute of Neutron Physics and Reactor Technology, Herman-vom-Helmholtz-Platz-1, 76344 Eggenstein-Leopoldshafen, Germany;

    Karlsruhe Institute of Technology, Institute of Neutron Physics and Reactor Technology, Herman-vom-Helmholtz-Platz-1, 76344 Eggenstein-Leopoldshafen, Germany;

    The Pennsylvania State University, Department of Mechanical and Nuclear Engineering, 206 Reber, University Park, PA 6802, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Coupled codes; Stochastic approximation; Internal coupling; MCNP5; SUBCHANFLOW; Collision density estimator;

    机译:耦合代码;随机逼近;内部耦合;MCNP5;子流程;碰撞密度估算器;

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