Work

A percolation theory-based approach for analyzing fluid flow mechanism in blanket pebble beds

Year: 2025

Type: article

Abstract: Blanket pebble beds consist of numerous small-diameter particles, posing significant challenges for traditional simulation methods in terms of modeling accuracy and computational efficiency. To improve simulation performance and broaden research approaches, this study develops a percolation network model to analyze purge gas flow behavior within pebble beds. The model validity is confirmed through comparison with experimental data from the literature. Subsequently, the model is applied to simulate both pebble bed structure and fluid flow characteristics, enabling optimization of the purge gas system design. Compared to conventional methods, the percolation network model significantly enhances computational efficiency in fluid flow simulations. This work presents a novel research methodology and computational tool, demonstrating its potential for investigating transient purge gas flow mechanisms in blanket pebble beds

Source: Nuclear Materials and Energy

DOI: 10.1016/j.nme.2025.101961

Authors: Ziyang Wang, Xuetao Cui, Jian Wang, Mingzhun Lei, Yuntao Song

Institutions: Chinese Academy of Sciences, Hefei Institutes of Physical Science, Institute of Plasma Physics, University of Science and Technology of China

Language: English

Topic: Fusion materials and technologies

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: gold

Estimated APC paid: $2,190