首页 | 本学科首页   官方微博 | 高级检索  
     


Development of Improved Chord-length Sampling Method and Its Application in Monte Carlo Simulation of Dispersion Fuel
Authors:LIU Shichang  WANG Kan  CHEN Yixue
Affiliation:School of Nuclear Science and Engineering, North China Electric Power University, Beijing 102206, China;Department of Engineering Physics, Tsinghua University, Beijing 100084, China
Abstract:Dispersion fuel is widely used in high-temperature gas-cooled reactor (HTGR), accident tolerant fuel, experimental research reactor, naval nuclear power plant and so on. The chord-length sampling (CLS) method can simplify the geometry modeling of dispersion fuel, which can improve the efficiency. However, traditional CLS can only handle the packing of single particle, and has large error when the packing fraction is high. Aiming to solve these two problems, the improve CLS method was developed in reactor Monte Carlo code RMC, and applied to the fully ceramic micro-encapsulated fuel pin case and HTGR fuel pebble with mixed fuel and poison particles. Results show that the proposed method can handle mixed particles with multiple types, and preserve the accuracy of packing fraction, which provide precise and high efficiency for the critical and burnup calculations.
Keywords:chord-length sampling method  dispersion fuel  Monte Carlo  RMC  
点击此处可从《原子能科学技术》浏览原始摘要信息
点击此处可从《原子能科学技术》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号