基于不同评价核数据库与RMC程序的小微型气冷反应堆特征值分析

Eigenvalue analysis of small and micro gas-cooled reactors based on different evaluated nuclear data libraries and RMC code

  • 摘要: 随着核数据处理程序和评价核数据库的不断发展、更新,现用的基于ENDF/B-VII.1评价核数据库和NJOY99程序自制的连续能量数据库有必要进行更新,以满足新型核反应堆设计需求。基于ENDF/B-VII.1、ENDF/B-VIII.1和JENDL-5.0评价核数据库,使用NJOY2016程序分别制作了蒙特卡罗程序使用的连续能量中子数据库和热散射律数据库,并使用反应堆蒙特卡罗程序RMC建模计算了自设的小型气冷快堆和微型高温气冷堆问题。以MCNP官方数据库计算结果为基准,两种反应堆自制数据库计算结果的偏差均在±100×10−5以内,表明ACE库制作流程过程正确可行。制作的b71、b81和j50三个数据库,对于小型气冷快堆,b71比b81计算结果偏低约400×10−5,j50比b81计算结果偏高约500×10−5;对于微型高温气冷堆,b71与b81计算结果偏差在±100×10−5以内,j50与b81计算结果偏差在±200×10−5以内。不同评价核数据库堆小型气冷快堆计算具有较大影响,这些影响主要来自于以下核素:239Pu的高能区截面,240Pu的中间能区截面,235U的高能区截面,90Zr、91Zr、92Zr的高能区截面发生了变化。在堆芯设计时,受中高能区截面影响较大的快谱反应堆,需要考虑评价核数据库不同的影响。

     

    Abstract:
    Background With the continuous advancement of nuclear data processing codes and evaluated libraries, legacy continuous-energy libraries (e.g., those derived from ENDF/B-VII.1 using NJOY99) frequently fail to satisfy the stringent accuracy demands of modern advanced reactor designs.
    Purpose This study aims to generate updated continuous-energy neutron and thermal scattering law (TSL) libraries using modern processing workflows, validate their reliability for Monte Carlo reactor simulations, and systematically assess how different major evaluated nuclear data libraries influence key neutronic parameters, particularly the effective multiplication factor, for both fast- and thermal-spectrum reactor systems.
    Methods ACE-format continuous-energy neutron and TSL libraries were processed using the NJOY2016 code based on three primary evaluated nuclear data files: ENDF/B-VII.1, ENDF/B-VIII.1, and JENDL-5.0. These custom-generated libraries were integrated into the Monte Carlo code RMC to perform criticality simulations for two reference models: a self-defined small gas-cooled fast reactor (SGFR) and a micro high-temperature gas-cooled reactor (MHTGR). The official MCNP libraries served as the baseline reference for validation and inter-library comparison.
    Results Validation against the MCNP official libraries confirmed that the keff deviations for both reactor models using the self-generated libraries remained within ±100×105, demonstrating the correctness and feasibility of the NJOY2016 processing pipeline. Inter-library comparisons revealed distinct system behaviors: for the SGFR, the b71 library yielded keff values approximately 400×105 lower than b81, while j50 produced values roughly 500×105 higher. In contrast, the MHTGR exhibited smaller discrepancies, with b71–b81 deviations within ±100×105 and j50–b81 deviations within ±200×105. Sensitivity analysis indicated that the SGFR is significantly more responsive to library selection, primarily driven by cross-section variations in the high-energy regions of 239Pu, 235U, 90Zr, 91Zr, and 92Zr, as well as the intermediate-energy region of 240Pu.
    Conclusions The successfully validated NJOY2016 library generation workflow provides reliable, modern ACE libraries for advanced reactor neutronics analysis. The pronounced sensitivity of fast-spectrum systems like the SGFR to evaluated data libraries underscores the necessity of carefully selecting and verifying nuclear data, particularly in the medium- and high-energy ranges, to ensure the computational accuracy and safety margins of next-generation fast reactor core designs.

     

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