Applicability analysis of reduced order modeling methods for fluid dynamics in molten salt reactor

被引:0
作者
Lin, Ming [1 ]
Cheng, Maosong [1 ,2 ]
Cai, Xiangzhou [1 ,2 ]
Dai, Zhimin [1 ,2 ]
机构
[1] Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai
[2] University of Chinese Academy of Sciences, Beijing
来源
He Jishu/Nuclear Techniques | 2024年 / 47卷 / 09期
关键词
Fluid dynamics; FV-ROM; Molten salt reactor; Reduced order modeling; SUP-ROM;
D O I
10.11889/j.0253-3219.2024.hjs.47.090604
中图分类号
学科分类号
摘要
[Background] For high-fidelity simulations of fluid dynamics in molten salt reactor (MSR), even though a supercomputer is able to suppress the period of each simulation, the consequent expense is still prohibitively costly. A possible way to overcome this limitation is the use of Reduced Order Modelling (ROM) techniques. [Purpose] This study aims to evaluate the accuracy of the ROM methods for reconstructing the velocity and pressure fields. [Methods] Two ROM methods based on the Proper Orthogonal Decomposition (POD) with both Galerkin projection, namely FV-ROM (ROM based on Finite Volume approximation) and SUP-ROM (ROM with supremizer stabilization), were established for fluid dynamics of MSR. Then, both methods were tested on the unsteady cases of liquid-fueled molten salt reactor (LFMSR) for comparison and applicability analysis. [Results] The FV-ROM demonstrates notable advantages in both velocity prediction and computational efficiency. For laminar and turbulent transient simulations, the average velocity L2 relative errors are less than 0.5% and 0.6%, respectively, with acceleration ratios of approximately 1 500 and 1 000 times for single time steps. Conversely, the SUP-ROM scheme demonstrates significant prowess in pressure prediction, achieving remarkably low pressure average L2 relative errors of 0.20% and 0.38% for laminar and turbulent transient scenario, respectively. [Conclusions] Results of this study indicate that combination of SUP-ROM and FV-ROM for fluid dynamics computations of MSR can significantly enhance computational efficiency and ensure reliability and accuracy of transient simulation. © 2024 Science Press. All rights reserved.
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