An assessment of k-ε turbulence models for gas distribution analysis

被引:13
|
作者
Saeed, Muhammad [1 ]
Yu, Ji-Yang [1 ]
Abdalla, Aniseh Ahmed Atef [1 ]
Zhong, Xian-Ping [1 ]
Ghazanfar, Mahmood Ahmad [1 ]
机构
[1] Tsinghua Univ, Dept Engn Phys, Beijing 100084, Peoples R China
关键词
Turbulence model; Hydrogen combustion; Nuclear power; Plant accident; HYDRAGON; Air fountain; CFD MODEL; HYDROGEN; DISPERSION; SIMULATIONS; VALIDATION; PREDICTION; RELEASE; STEAM; FLOW;
D O I
10.1007/s41365-017-0304-x
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
This paper presents the gas distribution analysis by injecting air fountain into the containment and simulations with the HYDRAGON code. Turbulence models of standard k-epsilon (SKE), re-normalization group k-epsilon (RNG) and a realizable k-epsilon (RLZ) are used to assess the effects on the gas distribution analysis during a severe accident in a nuclear power plant. By comparing with experimental data, the simulation results of the RNG and SKE turbulence models agree well with the experimental data on the prediction of dimensionless density distributions. The results illustrate that the turbulence model choice had a small effect on the simulation results, particularly the region near to the air fountain source.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] An assessment of k-ε turbulence models for gas distribution analysis
    Muhammad Saeed
    Ji-Yang Yu
    Aniseh Ahmed Atef Abdalla
    Xian-Ping Zhong
    Mahmood Ahmad Ghazanfar
    [J]. Nuclear Science and Techniques, 2017, 28 (10) : 86 - 93
  • [2] An assessment of k-ε turbulence models for gas distribution analysis
    Muhammad Saeed
    Ji-Yang Yu
    Aniseh Ahmed Atef Abdalla
    Xian-Ping Zhong
    Mahmood Ahmad Ghazanfar
    [J]. Nuclear Science and Techniques, 2017, 28
  • [3] An assessment of k-ω and v2-f turbulence models for strongly heated internal gas flows
    Spall, RE
    Richards, A
    McEligot, DM
    [J]. NUMERICAL HEAT TRANSFER PART A-APPLICATIONS, 2004, 46 (09) : 831 - 849
  • [4] Comparative study of standard k-ε and k-ω turbulence models by giving an analysis of turbulent natural convection in an enclosure
    Miroshnichenko, Igor
    Sheremet, Mikhail
    [J]. THERMOPHYSICAL BASIS OF ENERGY TECHNOLOGIES, 2015, 82
  • [5] On the gravitational terms of the k-ε and other turbulence models
    Hassid S.
    [J]. Ocean Dynamics, 2002, 52 (4) : 169 - 178
  • [6] A comparison of standard k-ε and realizable k-ε turbulence models in curved and confluent channels
    Shaheed, Rawaa
    Mohammadian, Abdolmajid
    Gildeh, Hossein Kheirkhah
    [J]. ENVIRONMENTAL FLUID MECHANICS, 2019, 19 (02) : 543 - 568
  • [7] Investigation of the Influence of Turbulence Models on Cough Droplet Evaporation: Comparing (SST) k-Ω, k-ε, and Reynolds Stress (RSM) Turbulence Models
    Ayuba, Nuhu
    Lopes, Gabriela Cantarelli
    [J]. PROCEEDINGS OF THE 7TH BRAZILIAN TECHNOLOGY SYMPOSIUM (BTSYM 21): EMERGING TRENDS IN HUMAN SMART AND SUSTAINABLE FUTURE OF CITIES, VOL 1, 2023, 207 : 151 - 162
  • [8] Assessment of low-Reynolds number k-ε turbulence models against highly buoyant
    Bae, Yoon-Yeong
    Kim, Eung-Seon
    Kim, Minhwan
    [J]. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2017, 108 : 529 - 536
  • [9] COMPARISON OF K-ε AND K-ω TURBULENCE MODELS FOR SIMULATION OF SHALLOW RECIRCULATING FLOWS IN AN OPEN CHANNEL
    Zhang Yi-fanNanjing Hydraulic Research Institute
    [J]. Journal of Hydrodynamics, 1998, (02) : 74 - 86
  • [10] Numerical Study on the Performance of Darrieus Turbine by K-ε Standard and K-ε EARSM Turbulence Models
    Benzerdjeb, Abdelouahab
    Abed, Bouabdellah
    Achache, Habib
    Hamidou, Mohammed K.
    Bordjane, Mustapha
    Gorlov, Alaxender M.
    [J]. 2017 IEEE 6TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA), 2017, : 528 - 533