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Aerodynamic Optimum Design of Transonic Turbine Cascades Using Genetic Algorithms 被引量:6

Aerodynamic Optimum Design of Transonic Turbine Cascades Using Genetic Algorithms
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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 procedur6 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.
出处 《Journal of Thermal Science》 SCIE EI CAS CSCD 1997年第2期111-116,共6页 热科学学报(英文版)
关键词 genetic algorithms transonic turbine cascades optimum design 超声速透平 空气动力优化设计 遗传算法
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