JFNK method with a physics-based preconditioner for the fully implicit solution of one-dimensional drift-flux model in boiling two-phase flow

被引:13
作者
Hu, Lian [1 ]
Chen, Deqi [1 ]
Huang, Yanping [2 ]
Li, Xiang [1 ]
Yuan, Dewen [2 ]
Wang, Yanlin [2 ]
机构
[1] Chongqing Univ, Dept Power & Energy Engn, Chongqing 400044, Peoples R China
[2] Nucl Power Inst China, CNNC Key Lab Nucl Reactor Thermal Hydraul Technol, Chengdu 610041, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Jacobian-free Newton-Krylov; Physics-based preconditioner; Drift-flux model; Two-phase flow; FREE NEWTON-KRYLOV; FRICTIONAL PRESSURE-DROP; UNIVERSAL APPROACH; EQUATIONS;
D O I
10.1016/j.applthermaleng.2017.01.087
中图分类号
O414.1 [热力学];
学科分类号
摘要
The Jacobian-free Newton-Krylov (JFNK) method with an efficient physics-based preconditioner is applied for the numerical solution of the one-dimensional drift-flux model with the closure constitutive equations. Additional closure correlations, including the flow pattern dependent heat transfer correlations and the flow pattern independent kinematic constitutive correlation, are used to close the governing equations of one-dimensional drift-flux model. The governing equations have been discretized using the first-order upwind method for spatial discretization and the fully implicit method for temporal discretization. An efficient physics-based preconditioner derived from the semi-implicit solution of governing equations is used in the JFNK method to improve the efficiency and numerical stability. The numerical verification and code validation have been performed for stibcooled boiling two-phase flow in a vertical tube. By comparing with the other methods (JFNK method without preconditioner, the Broyden method and the Broyden-Fletcher-Goldfarb-Shanno (BFGS) method), the preconditioning JFNK method shows the robustness and a good computational efficiency. Moreover, by comparing the numerical simulation results with the experimental results, it is found that the JFNK method with a physics-based preccinditioner shows the good accuracy for the numerical simulation for one-dimensional boiling two-phase flow. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:610 / 622
页数:13
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