首页    期刊浏览 2024年09月29日 星期日
登录注册

文章基本信息

  • 标题:High-Fidelity MC-DEM Modeling and Uncertainty Analysis of HTR-PM First Criticality
  • 本地全文:下载
  • 作者:Ruihan Li ; Zhaoyuan Liu ; Zhiyuan Feng
  • 期刊名称:Frontiers in Energy Research
  • 电子版ISSN:2296-598X
  • 出版年度:2022
  • 卷号:9
  • DOI:10.3389/fenrg.2021.822780
  • 语种:English
  • 出版社:Frontiers Media S.A.
  • 摘要:A high-fidelity model for the first criticality of pebble-bed reactor HTR-PM is built using Monte Carlo (MC) code RMC and discrete element method (DEM) code LAMMPS. Randomly packed TRi-structural ISOtropic (TRISO) particles and fuel pebbles are modeled explicitly. A cone structure on the top of the pebble bed is also taken into account. Criticality calculation result agrees well with the experiment. Uncertainty analysis is carried out considering three inherent aspects: the randomness of MC code, the randomness of TRISO particle and pebble position, and the randomness of mixed pebbles. Results show that these factors have a significant impact on the uncertainty of effective multiplication factor (keff). And the most influential factor is expected to be the randomness of mixed pebbles. The influence of several configuration factors is studied as well. It is observed that the effects of cross-section library, the heterogeneity of TRISO particles, and the angle of pebble bed cone are nonnegligible contributors. However, the results between randomly and regularly placed TRISO particles are not noticeably different.
国家哲学社会科学文献中心版权所有