Development and Test of Unstructured Mesh Simulation Function Based on JMCT Monte Carlo Particle Transport Code

For coupled calculation of Monte Carlo method and codes with deterministic method and codes, the simulated functions of unstructured mesh have been developed in the 3D general purpose N-particle transport Monte Carlo code JMCT. At present, the JMCT code supports not only the real combinatorial geometry (CSG) but also the structured/unstructured mesh. In this paper, the shielding model of Qinshan-I reactor core was chosen as testing the new function. Supermesh, a pre-processing software for automatic mesh generation of JMCT software, was used to divide the Qinshan-I model into structured mesh and unstructured mesh model based on the CSG model. The simulated results of three geometry processes were given, respectively. It can be seen from the calculation results that the error of the unstructured mesh under the three geometric descriptions of JMCT is slightly larger than that of the solid combined geometry and the structured mesh. The results of the three geometric treatments are convergent, and the maximum relative deviation from the experimental measured value is less than 14.29%, which meets the requirement of shielding for calculation accuracy (20%). The parallel efficiency of the three geometric models on the Chinese computer with 4 000 cores is more than 65%. The calculation time of solid combination geometry is the least, and time of unstructured grid is the longest.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-12-01
DOI
https://doi.org/10.7538/yzk.2024.youxian.0102
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and Test of Unstructured Mesh Simulation Function Based on JMCT Monte Carlo Particle Transport Code

SHILAP Revista de lepidopterología
Mycorrhizal Fungi and Plant Interactions
article

Development and Test of Unstructured Mesh Simulation Function Based on JMCT Monte Carlo Particle Transport Code

article en

Abstract

For coupled calculation of Monte Carlo method and codes with deterministic method and codes, the simulated functions of unstructured mesh have been developed in the 3D general purpose N-particle transport Monte Carlo code JMCT. At present, the JMCT code supports not only the real combinatorial geometry (CSG) but also the structured/unstructured mesh. In this paper, the shielding model of Qinshan-I reactor core was chosen as testing the new function. Supermesh, a pre-processing software for automatic mesh generation of JMCT software, was used to divide the Qinshan-I model into structured mesh and unstructured mesh model based on the CSG model. The simulated results of three geometry processes were given, respectively. It can be seen from the calculation results that the error of the unstructured mesh under the three geometric descriptions of JMCT is slightly larger than that of the solid combined geometry and the structured mesh. The results of the three geometric treatments are convergent, and the maximum relative deviation from the experimental measured value is less than 14.29%, which meets the requirement of shielding for calculation accuracy (20%). The parallel efficiency of the three geometric models on the Chinese computer with 4 000 cores is more than 65%. The calculation time of solid combination geometry is the least, and time of unstructured grid is the longest.

SHILAP Revista de lepidopterología
Institute of Applied Physics (UA), University of South China (CN)
Openalex Percentile: Top 65%
Mycorrhizal Fungi and Plant Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.