Development of a two-regime heat conduction model for TRISO-based nuclear fuels

被引:14
作者
Liu, Maolong [1 ]
Thurgood, Jared [2 ]
Lee, Youho [3 ]
Rao, Dasari, V [4 ]
机构
[1] Shanghai Jiao Tong Univ, 800 Dong Chuan Rd, Shanghai 200240, Peoples R China
[2] Univ New Mexico, 1 Univ New Mexico, Albuquerque, NM 87131 USA
[3] Seoul Natl Univ, 1 Gwanak Ro, Seoul 08826, South Korea
[4] Los Alamos Natl Lab, POB 1663, Los Alamos, NM 87545 USA
关键词
EFFECTIVE THERMAL-CONDUCTIVITY; MICROENCAPSULATED FUEL; PARTICLES; PACKING;
D O I
10.1016/j.jnucmat.2019.04.004
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Several advanced nuclear reactors use Tristructural-isotropic (TRISO) fuel particles randomly distributed in a matrix to allow for aggressive operating conditions. Since those fuels are composites with randomly distributed fuel particles in a matrix, suitable smearing methods are needed to obtain fuel temperature fields for reactor design and safety analysis. By developing three-dimensional finite-element heat conduction models for randomly distributed heat generating particles in a matrix, this study evaluated the impact of the randomly distributed heat sources on the temperature fields of the fuel pebble. In addition, a two-regime heat conduction model was proposed in this study by assuming that all fuel particles are densely packed at the center of the fuel element. The present model provides a practical methodology to predict peak and average fuel temperatures of nuclear fuel elements with heat generating particles because, among the possible distribution patterns of the TRISO fuel particles, the peak fuel temperature is highest when all the fuel particles are densely packed at the center of the fuel element. Comparing to other models, the present model predicts more conservative temperature fields and shows improved agreement with both peak and average fuel temperatures of the simulated compacts and pebbles. (c) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:255 / 264
页数:10
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