Using Whole Annealing Genetic Algorithms for the Turbine Cascade Inverse Design Problem
Jun LI; Zhenping FENG; Hidetoshi NISHIDA; Nobuyuki SATOFUKA
刊名JOURNAL OF THERMAL SCIENCE
1999
卷号8期号:1页码:32,37
关键词Genetic Algorithms Simulate Annealing Turbine Cascade Inverse Design.
英文摘要Turbine cascade optimum design, the typical non-convex optimal problem, has long been a design challenge in the engineering fields. The new type hybrid Genetic Algorithms - whole annealing Genetic Algorithms have been developed in this paper. Simulated annealing selection and non-uniform mutation are adopted in the whole annealing Genetic Algorithms. Whole annealing Genetic Algorithms optimal performance have been tested through mathematical test functions. On this basis, turbine cascade inverse design using whole annealing Genetic Algorithms have been presented. The B-Spline function is applied to represent the cascade shape. C-type grid and Godunov scheme are adopted to analysis the cascade aerodynamic performance. The optimal problem aims to obtain an cascade shape from different initial cascade through the given target pressure distribution. The optimum cascade shape is in well agreement with the target cascade shape. The numerical results show that the whole annealing Genetic Algorithms are the powerful optimum tools for turbine optimum design or other complex engineering design problems.
公开日期2013-03-12
内容类型期刊论文
源URL[http://ir.etp.ac.cn/handle/311046/53886]  
专题工程热物理研究所_Journal of Thermal Science
推荐引用方式
GB/T 7714
Jun LI,Zhenping FENG,Hidetoshi NISHIDA,et al. Using Whole Annealing Genetic Algorithms for the Turbine Cascade Inverse Design Problem[J]. JOURNAL OF THERMAL SCIENCE,1999,8(1):32,37.
APA Jun LI,Zhenping FENG,Hidetoshi NISHIDA,&Nobuyuki SATOFUKA.(1999).Using Whole Annealing Genetic Algorithms for the Turbine Cascade Inverse Design Problem.JOURNAL OF THERMAL SCIENCE,8(1),32,37.
MLA Jun LI,et al."Using Whole Annealing Genetic Algorithms for the Turbine Cascade Inverse Design Problem".JOURNAL OF THERMAL SCIENCE 8.1(1999):32,37.
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