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SAMPLING BASED UNCERTAINTY ANALYSIS OF 10 HOT LEG BREAK LOCA IN LSTF

机译:LSTF中10%的热腿断裂部位的基于采样的不确定性分析

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This paper describes the uncertainty analysis carried out for 10% Hot leg break LOCA of Large Scale Test Facility as a part of IAEA Coordinated Research Project on "Evaluation of Uncertainty in Best Estimate Accident Analysis". The best estimate code used for this analysis is RELAP5/MOD3.2. Initially the nodalisation of the test facility for carrying out the analysis is qualified for both steady state and transient level by systematically applying the procedures lead by Uncertainty Methodology based on Accuracy Extrapolation developed at University of Pisa. Subsequently the uncertainty analysis is carried out using sampling based Monte Carlo approach, which involves the generation and extrapolation of a mapping from uncertain inputs to the uncertain analysis results. The major steps followed in this methodology mainly includes screening sensitivity analysis for input parameters, design matrix generation using Latin Hypercube Sampling, representation of uncertainty analysis results based on best estimate thermal hydraulic code runs and importance /sensitivity analysis using regression analysis. The steps followed have been described in details in this paper.
机译:本文描述了作为国际原子能机构“最佳估计事故分析的不确定性评估”协调研究项目的一部分,对大型测试设施的10%热断腿LOCA进行的不确定性分析。用于此分析的最佳估计代码是RELAP5 / MOD3.2。最初,通过系统地应用由比萨大学开发的基于“精确度推断”的不确定性方法学领导的程序,可以对用于进行分析的测试设备的节点化进行稳态和瞬态测试。随后,使用基于采样的蒙特卡洛方法进行不确定性分析,该方法涉及从不确定性输入到不确定性分析结果的映射的生成和外推。此方法学中的主要步骤主要包括:筛选输入参数的灵敏度分析,使用Latin Hypercube采样生成设计矩阵,基于最佳估计热工代码运行的不确定性分析结果表示以及使用回归分析的重要性/灵敏度分析。本文已详细描述了遵循的步骤。

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