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
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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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