Investigating on multi-RANS models coupling simulation for flow mixing experiments

被引:3
|
作者
Hu, Peizheng [1 ]
Chen, Guangliang [1 ]
Tian, Zhaofei [1 ]
Kang, Huilun [1 ]
Jin, Yuguan [1 ]
Appah, Thompson [1 ]
机构
[1] Harbin Engn Univ, Fundamental Sci Nucl Safety & Simulat Technol Lab, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
CFD; MRANS; Couple; Flow mixing; ROCOM; PRESSURIZED-WATER REACTOR; ROCOM; VALIDATION; PWR;
D O I
10.1016/j.anucene.2020.107389
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
Prediction and analysis of coolant flow and mixing problems in the reactor pressure vessel (RPV) are some of the most critical studies to ensure system safety and balance of nuclear power plant. The flow mixing problem in the reactor primary system with complicated interior structure is a large domain three-dimensional problem. In this paper, we investigated the performance of utilizing multiple RANS models (MRANS) coupling method in the computational fluid dynamics (CFD) code ANSYS FLUENT to study flow mixing. Based on the domain decomposition technique, the 2-equation and 7-equation RANS models were coupled and applied to simulate the flow mixing phenomenon in the Rossendorf Coolant Mixing Model (ROCOM) test facility. First, a CFD model of ROCOM was developed, and the explicit domain decomposition coupling simulation was achieved with a user-defined Python control program. To ensure the best CFD model was utilized, three different turbulence models and varying resolution grids were used for turbulence model feasibility analysis and grid sensitivity testing. Then the applicability of MRANS coupling method was evaluated by comparing the results from the MRANS simulations with those obtained from flow mixing experiments. In addition, single and MRANS model simulation results were compared. Results show good agreements between the MRANS coupling simulations and the experimental data. Compared with overall simulations by single RANS models, the MRANS coupling method also have superior performance in accuracy and efficiency for the CFD simulation study of mixing phenomena in the reactor primary coolant system. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Experiments and FE simulation for twin screw mixing of nanocomposite of polypropylene/multi-walled carbon nanotubes
    Djoudi, H.
    Gelin, J. -C.
    Barriere, T.
    COMPOSITES SCIENCE AND TECHNOLOGY, 2015, 107 : 169 - 176
  • [32] Study on localised wind pressure development in gable roof buildings having different roof pitches with experiments, RANS and LES simulation models
    Xing, Fengda
    Mohotti, Damith
    Chauhan, Kapil
    BUILDING AND ENVIRONMENT, 2018, 143 : 240 - 257
  • [33] Experiments performed with bubbly flow in vertical pipes at different flow conditions covering the transition region: simulation by coupling Eulerian, Lagrangian and 3D random walks models
    Munoz-Cobo, Jose L.
    Chiva, Sergio
    Abd El Aziz Essa, Mohamed Ali
    Mendes, Santos
    ARCHIVES OF THERMODYNAMICS, 2012, 33 (01) : 3 - 39
  • [34] Augmented Flow Simulation Based on Tight Coupling Between Video Reconstruction and Eulerian Models
    Feng-Yu Li
    Chang-Bo Wang
    Hong Qin
    Hong-Yan Quan
    Journal of Computer Science and Technology, 2018, 33 : 452 - 462
  • [35] Fast direct flow simulation in porous media by coupling with pore network and Laplace models
    Da Wang, Ying
    Chung, Traiwit
    Rabbani, Arash
    Armstrong, Ryan T.
    Mostaghimi, Peyman
    ADVANCES IN WATER RESOURCES, 2021, 150
  • [36] Augmented Flow Simulation Based on Tight Coupling Between Video Reconstruction and Eulerian Models
    Li, Feng-Yu
    Wang, Chang-Bo
    Qin, Hong
    Quan, Hong-Yan
    JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2018, 33 (03) : 452 - 462
  • [37] Coupling a memetic algorithm to simulation models for promising multi-period asset allocations
    Yu, Tzu-Yi
    Huang, Hsiao-Tzu
    COMPUTERS & OPERATIONS RESEARCH, 2013, 40 (10) : 2585 - 2597
  • [38] Simulation Models of Vessel Traffic Flow in Inland Multi-bridge Waterway
    Xu, Wuxiong
    Chu, Xiumin
    Liu, Xinglong
    3RD INTERNATIONAL CONFERENCE ON TRANSPORTATION INFORMATION AND SAFETY (ICTIS 2015), 2015, : 505 - 511
  • [39] A Multi-Objective Approach for the Calibration of Microscopic Traffic Flow Simulation Models
    Cobos, Carlos
    Paz, Alexander
    Luna, Julio
    Erazo, Cristian
    Mendoza, Martha
    IEEE ACCESS, 2020, 8 : 103124 - 103140
  • [40] Validation of RANS-Based Turbulence Models Against High-Resolution Experiments and DNS for Buoyancy-Driven Flow with Stratified Fronts
    Mao, J.
    Vishwakarma, V.
    Welker, Z.
    Tai, C. K.
    Bolotnov, I. A.
    Petrov, V.
    Manera, A.
    NUCLEAR SCIENCE AND ENGINEERING, 2024, 198 (07) : 1404 - 1425