Shape optimization of bi-directional flow passage components based on a genetic algorithm and computational fluid dynamics

被引:10
|
作者
Gao, Xueping [1 ]
Tian, Ye [1 ]
Sun, Bowen [1 ]
机构
[1] Tianjin Univ, State Key Lab Hydraul Engn Simulat & Safety, Tianjin, Peoples R China
基金
中国国家自然科学基金;
关键词
Inlet; outlet diffusion segment; genetic algorithm; shape optimization; computational fluid dynamics; DESIGN; CFD; AERODYNAMICS;
D O I
10.1080/0305215X.2017.1400543
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The inlet/outlet is an important part of a water conveyance system in a pumped storage power station (PSPS). Its hydraulic characteristics are directly related to the operation and economic benefit of the PSPS. Frequent changes between inflow and outflow operations pose significant challenges in the design of the inlet/outlet diffusion segment shape. In this study, an effective optimization method, including three-dimensional parametric modelling, computational fluid dynamics and a genetic algorithm, is introduced and coupled to the design of the diffusion segment shape. The hydraulic characteristics of bi-directional flow, including the head loss, velocity uneven distribution and uneven discharge distribution, are selected as the objective function in the optimization method. Using this method, the recommended shape of the inlet/outlet is studied and its hydraulic characteristics are discussed. The results indicate that the optimized inlet/outlet has better performance.
引用
收藏
页码:1287 / 1303
页数:17
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