Numerical Simulation for Two-Phase Water Hammer Flows in Pipe by Quasi-Two-Dimensional Model

作     者：Tae Uk Jang Yuebin Wu Ying Xu Qiang Sun 

作者机构：School of Municipal and Environmental EngineeringHarbin Institute of Technology Department of MechanicsKim Il Sung University State Key Laboratory of Urban Water Resource and EnvironmentHarbin Institute of Technology School of Energy and ArchitectureHarbin University of Commerce 

出 版 物：《Journal of Harbin Institute of Technology(New Series)》 (哈尔滨工业大学学报（英文版）)

年 卷 期：2016年第23卷第2期

页      面：9-15页

学科分类：0810[工学-信息与通信工程] 08[工学] 0815[工学-水利工程] 0805[工学-材料科学与工程（可授工学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Sponsored by the National Natural Science Foundation of China(Grant No.51208160) the Natural Science Foundation of Heilongjiang Province(Grant No.QC2012C056) 

主　　题：water hammer method of characteristics quasi -two -dimensional model column separation discrete vapor cavity model 

摘      要：The features of a quasi-two-dimensional( quasi-2D) model for simulating two-phase water hammer flows with vaporous cavity in a pipe are investigated. The quasi-2D model with discrete vaporous cavity in the pipe is proposed in this paper. This model uses the quasi-2D model for pure liquid zone and one-dimensional( 1D) discrete vapor cavity model for vaporous cavity zone. The quasi-2D model solves two-dimensional equations for both axial and radial velocities and 1D equations for both pressure head and discharge by the method of characteristics. The 1D discrete vapor cavity model is used to simulate the vaporous cavity occurred when the pressure in the local pipe is lower than the vapor pressure of the liquid. The proposed model is used to simulate two-phase water flows caused by the rapid downstream valve closure in a reservoir-pipe-valve *** results obtained by the proposed model are compared with those by the corresponding 1D model and the experimental ones provided by the literature,respectively. The comparison shows that the maximum pressure heads simulated by the proposed model are more accurate than those by the corresponding 1D model.