Multi-objective optimization of side inlet/outlet shape based on response surface model

被引：0

作者：

Gao X. ^{[1
]}

Qin Z. ^{[1
]}

Zhu H. ^{[1
]}

Sun B. ^{[1
]}

机构：

[1] State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin

来源：

Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2019年 / 47卷 / 11期

关键词：

Genetic algorithm; Multi-objective optimization; Response surface method; Side inlet/outlet; Two-flow directions;

D O I：

10.13245/j.hust.191122

中图分类号：

学科分类号：

摘要：

In order to solve the problem that traditional optimization methods usually adjust the shape according to engineering experience, and the optimum hydraulic characteristics of inlet and outlet are difficult to satisfy simultaneously when optimizing the shape of side inlet/outlet diffusion section of pumped storage power station, the shape parameters of diffusion section was taken as design variables, the hydraulic indexes of inlet/outlet was taken as optimization objectives, and the agency model between them was established by response surface method.Multi-objective optimization was carried out by using the non-dominated sorting genetic algorithm (NSGA-Ⅱ), and the optimal shape was obtained.Research results show that the NSGA-Ⅱ can solve the problem that it is difficult for each objective to satisfy the optimal shape simultaneously under the condition of two-flow direction.In addition, the computational fluid dynamics (CFD) calculation only needs to be performed when the agent model is established while doesn't need when optimizing, which effectively improves the efficiency of the optimization of the intake/outlet shape. © 2019, Editorial Board of Journal of Huazhong University of Science and Technology. All right reserved.

引用

页码：127 / 132

页数：5

共 4 条

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