Kinetic methods in Monte Carlo code RMC and its implementation to C5G7-TD benchmark

Guo, Xiaoyu; Shang, Xiaobang; Song, Jing; Shi, Guopu; Huang, Shanfang; Wang, Kan

doi:10.1016/j.anucene.2020.107864

Cited by 12 publications

(1 citation statement)

References 20 publications

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“…Many features have been developed in RMC to meet the requirements of reactor simulations, including criticality, shielding, burnup, transient, and multi-physics simulations. The high-fidelity simulation capability of RMC has been validated in the multi-physics simulation of the BEAVRS two-cycle benchmark (Horelik et al, 2013) in Wang et al (2017) and the VERA core physics benchmarks (Godfrey, 2014) in Luo et al (2017), Luo et al (2020) and Ma et al (2019), and transient simulations of the C5G7-TD benchmarks (Hou et al, 2017) in Guo et al (2020Guo et al ( ). 10.3389/fenrg.2023 Algorithm 1.…”

Section: Figurementioning

confidence: 99%

A better hash method for high-fidelity Monte Carlo simulations on nuclear reactors

Luo

et al. 2023

Front. Energy Res.

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With the increasing demand for high-fidelity nuclear reactor simulations, the acceleration of Monte Carlo particle transport codes is becoming a core problem. One of the bottlenecks is locating millions or even billions of cells and fetching their associated parameters in the repeated geometry structure. Typically, Monte Carlo codes utilize a hash function to accelerate the cell locating and parameter indexing process. Specifically, they use the “cell vector → hash → parameter” method to accelerate the direct “cell vector → parameter” method. In this work, we propose a better hash method based on the Cyclic Redundancy Check (CRC) mechanism, which has been mathematically proven to be efficient and produce fewer hash collisions. Experimentally, this new hash method has been compared with some other hash functions and showed its superiority in terms of the calculation speed and collision probabilities. This hash method has been integrated into the Reactor Monte Carlo code RMC and worked well in practical applications.

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