中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Aerodynamic Optimum Design of Transonic Cascades Using Genetic Algorithms

文献类型:期刊论文

作者Li Jun; Feng Zhenping; Chang Jianzhong; Shen Zuda
刊名JOURNAL OF THERMAL SCIENCE
出版日期1997
卷号6期号:2页码:111,116
关键词Genetic Algorithms Transonic Turbine Cascades Optimum Design
英文摘要This paper presents an aerodynamic optimum design method for transonic turbine cascades based on the Genetic Algorithms coupled to the inviscid flow Euler solver and the boundary-layer calculation. The Genetic Algorithms control the evolution of a population of cascades towards an optimum design. The fitness value of each string is evaluated using the flow solver. The design procedure has been developed and the behavior of the genetic algorithms has been tested. The objective functions of the design examples are the minimum mean-square deviation between the aimed pressure and computed pressure and the minimum amount of user expertise.
公开日期2013-03-12
源URL[http://ir.etp.ac.cn/handle/311046/54054]  
专题工程热物理研究所_Journal of Thermal Science
推荐引用方式
GB/T 7714
Li Jun,Feng Zhenping,Chang Jianzhong,et al. Aerodynamic Optimum Design of Transonic Cascades Using Genetic Algorithms[J]. JOURNAL OF THERMAL SCIENCE,1997,6(2):111,116.
APA Li Jun,Feng Zhenping,Chang Jianzhong,&Shen Zuda.(1997).Aerodynamic Optimum Design of Transonic Cascades Using Genetic Algorithms.JOURNAL OF THERMAL SCIENCE,6(2),111,116.
MLA Li Jun,et al."Aerodynamic Optimum Design of Transonic Cascades Using Genetic Algorithms".JOURNAL OF THERMAL SCIENCE 6.2(1997):111,116.

入库方式: OAI收割

来源:工程热物理研究所

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