Zhenyang Sun , Hongyang Wei , Yiwei Wang , Sichao Tan , Yitung Chen
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引用次数: 0
Abstract
Conventional simulation approaches of the flow and heat transfer characteristics of the coolant in fuel rod bundle suffer from either excessive computational expenses or insufficient predictive precision. In this study, a method to improve the prediction accuracy of turbulent flow simulation in bare rod bundles is used. The ensemble Kalman filter algorithm in the data assimilation algorithm is used, and the existing dimensionless turbulent kinetic energy experimental data is used as the experimental observation value. The SST turbulence model is studied for constant optimization and the influence of single-point data location changes on model prediction results is explored. The results show that compared with the default turbulence model, the modified turbulence model has better prediction accuracy. This work could bring reference for the further investigation of turbulent flow behavior in fuel assembly.
期刊介绍:
Progress in Nuclear Energy is an international review journal covering all aspects of nuclear science and engineering. In keeping with the maturity of nuclear power, articles on safety, siting and environmental problems are encouraged, as are those associated with economics and fuel management. However, basic physics and engineering will remain an important aspect of the editorial policy. Articles published are either of a review nature or present new material in more depth. They are aimed at researchers and technically-oriented managers working in the nuclear energy field.
Please note the following:
1) PNE seeks high quality research papers which are medium to long in length. Short research papers should be submitted to the journal Annals in Nuclear Energy.
2) PNE reserves the right to reject papers which are based solely on routine application of computer codes used to produce reactor designs or explain existing reactor phenomena. Such papers, although worthy, are best left as laboratory reports whereas Progress in Nuclear Energy seeks papers of originality, which are archival in nature, in the fields of mathematical and experimental nuclear technology, including fission, fusion (blanket physics, radiation damage), safety, materials aspects, economics, etc.
3) Review papers, which may occasionally be invited, are particularly sought by the journal in these fields.