摘要
提出了基于复合进化算法和Navier-Stokes方程求解技术的透平叶栅气动设计方法。复合遗传算法是结合进化算法与单纯形法,通过对群体中的最差个体采用单纯形法进行改造,提高进化遗传算法的搜索效率。透平叶栅的气动优化设计目标是总压损失最小。总压损失的计算采用Reynolds平均Navier-Stokes方程求解技术,紊流模型采用Baldwin-Lomax代数紊流模型。优化设计变量是叶栅型线参数化Bezier曲线控制点坐标,优化设计得到叶栅的总压损失减小了20%。设计结果证明了本文所提出的优化技术对透平叶栅气动设计是一种有效的方法。
The optimized aerodynamic design of turbine cascades is presented, which has been based on composite evolutionary algorithms and Navier-Stokes equation solution techniques. By combining evolutionary algorithms with a simplex method the resulting composite evolutionary algorithms can enhance the search efficiency of evolutionary hereditary algorithms through a reform of the worst individuals in a population by using the simplex method. The design objective of turbine cascade aerodynamic optimization is to minimize the total pressure loss. The coordinates of the control points of Bezier curves for the cascade profile parametrization serve as the optimized design variables. Reynolds-averaged Navier-Stokes equation solution techniques were used to calculate the total pressure loss. Baldwin-Lomax algebraic turbulent model is used as a turbulent model. The optimized design has reduced the total pressure loss of the cascades by 20%. The design results demonstrate that the optimization techniques for the turbine-cascade aerodynamic design proved to be an effective approach.
出处
《热能动力工程》
EI
CAS
CSCD
北大核心
2004年第2期167-170,共4页
Journal of Engineering for Thermal Energy and Power
基金
国家教育部留学回国人员科研启动基金资助项目
关键词
复合遗传算法
叶栅
优化
设计
composite hereditary algorithm, turbine cascade, optimization, design
