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Analysis of the accuracy of residual heat removal and natural convection transients in reactor pools

机译:反应堆池残余散热和自然对流瞬变的准确性分析

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摘要

The assessment of the inaccuracy and sensitivity of simulations of natural convection in pools is of the highest importance for the nuclear industry. Therefore, in this article we qualify the uncertainty on the calculation of three dimensional spatio-temporal evolution of Raileigh-Be`nard instability.This assessment is carried out through the creation of a surrogate fast model. The model is build utilizing Proper Orthogonal Decomposition and Galerkin projection. The Proper Orthogonal Decomposition allows finding the most energetic modes. Those are derived post-processing a high fidelity CFD calculation. Those modes constitute the vectors of a new, reduced, basis. In the Galerkin Projection the governing equations are written in this reduced basis.Once the model is available, we discuss the uncertainties on the determination of the amplitudes of each mode. Concretely, we consider the hypothesis of deviations that follow the normal distribution for each mode. This normal distribution is centered in the nominal value of the amplitude and have a standard deviation which amounts 5% of the amplitude.The expected results and its uncertainty are henceforth computed by Monte-Carlo method, calculating hundreds of solutions of the Initial Value Problem with the surrogate model.
机译:评估池中自然对流模拟的不准确性和敏感性对核工业的重要性是最重要的。因此,在本文中,我们有资格对铁路的三维时空演化计算的不确定性。通过创建代理快速模型进行评估。该模型利用适当的正交分解和Galerkin投影来构建。适当的正交分解允许找到最精力充沛的模式。那些被派生后处理高保真CFD计算。这些模式构成了新的,减少的载体。在Galerkin投影中,控制方程以这种降低编写。可以使用该模型,我们讨论了确定每种模式的幅度的不确定性。具体地,我们考虑遵循每种模式正常分布的偏差的假设。该正态分布以幅度的标称值为中心,并且具有标准偏差,其占幅度的5%。因此由Monte-Carlo方法计算预期的结果及其不确定性,计算初始值问题的数百个解决方案代理模型。

著录项

  • 来源
    《Nuclear Engineering and Design》 |2021年第7期|111151.1-111151.9|共9页
  • 作者

    Yanez Jorge; Class Andreas G.;

  • 作者单位

    Karlsruher Inst Technol Hermann von Helmholtz Pl 1 D-76344 Eggenstein Leopoldshafen Germany;

    Karlsruher Inst Technol Hermann von Helmholtz Pl 1 D-76344 Eggenstein Leopoldshafen Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Reduced order models; Natural convection; Uncertainty quantification;

    机译:减少订单模型;自然对流;不确定性量化;
  • 入库时间 2022-08-19 02:29:27

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