基于并行多目标遗传算法大涵道分开式排气系统气动优化设计
Aerodynamic optimization design of high bypass ratio separate-flow exhaust system based on parallel multi-objective genetic algorithm
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摘要: 通过引入快速非支配排序算法、拥挤距离以及拥挤距离比较算子等对基本遗传算法进行改进,并结合massage passing interface(MPI)并行编程技术,发展了主从式并行多目标遗传算法(PMGA).将PMGA与排气系统型面参数化设计方法、Navier-Stokes方程求解器相结合建立了分开式排气系统气动优化设计平台.应用该平台对某型分开式排气系统进行了多目标优化设计,得到了一组在三个目标上都优于初始设计的Pareto最优设计.将典型的Pareto最优设计和初始设计进行分析、比较,证明了该气动优化设计平台的高效性和可靠性.Abstract: Simple genetic algorithm(GA) was improved with fast non-dominated sort approach,crowded distance estimation and crowded comparison operator.A new algorithm called parallel multi-objective genetic algorithm(PMGA) was developed using the master-slave parallel programming model with the support of massage passing interface (MPI).To establish the aerodynamic optimization design platform for high bypass ratio separate-flow exhaust system,PMGA was combined with profile parameterization of exhaust system and Navier-Stokes solver.With this platform,aerodynamic optimization design of the high bypass ratio separate-flow exhaust system was performed,and a set of Pareto-optimal solutions which was better than the initial design in three objectives was obtained.Detailed comparison and analysis of the Pareto-optimal designs and initial design confirmed the high efficiency and validity of the parallel multi-objective aerodynamic optimization design platform.
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[1] Lahti D J,Dietrich D A,Stockman N O,et al.Application of computational methods to the design of large turbofan nacelles .AIAA-84-0121,1984. [2] Babbit R R,Cohn J A,Fleming K J.Advanced high bypass mixed-flow exhaust system design study .AIAA-91-2242,1991. [3] 周明,孙树栋.遗传算法原理及应用[M].北京:国防工业出版社,2002. [4] 汪光文,周正贵,胡骏.基于并行遗传算法压气机叶片自动优化设计[J].航空动力学报,2006,21(5):924-929. WANG Guangwen,ZHOU Zhenggui,HU Jun.Design optimization of compressor blades using parallel genetic algorithms[J].Journal of Aerospace Power,2006,21(5):924-929.(in Chinese) [5] 金东海,桂幸民.应用多目标遗传算法的叶栅气动优化设计[J].航空动力学报,2007,22(2):285-290. JIN Donghai,GUI Xingmin.Aerodynamic design optimization of cascade airfoils based on multi-objective genetic algorithm[J].Journal of Aerospace Power,2007,22(2):285-290.(in Chinese) [6] Whitaker K W,Prasanth R K.Design of exhaust nozzles using GA optimized neural networks .AIAA-93-0410,1993. [7] 陈兵,徐旭,蔡国飙.基于遗传算法和空间推进方法的单壁扩张喷管优化设计研究[J].航空学报,2007,28(4):827-832. CHENG Bing,XU Xu,CAI Guobiao.Optimization design of single-expansion-ramp nozzle using genetic algorithms based on a parabolized Navier-Stokes solver[J].Acta Aeronautics et Astronautics Sinica,2007,28(4):827-832.(in Chinese) [8] 贺旭照,倪鸿礼,周正,等.吸气式高超声速飞行器三维后体尾喷管优化设计[J].推进技术,2009,30(6) :687-690. HE Xuzhao,NI Hongli,ZHOU Zheng,et al.3D afterbody nozzle nozzle aptimization of air-breathing hypersonic vehicle[J].Journal of Propulsion Technology,2009,30(6):687-690.(in Chinese) [9] Deb K, Pratap A,Agarwal S,et al.A fast and elitist multiobjective genetic algorithm:NSGA-Ⅱ[J].IEEE Transactions on Evolutionary Computation,2002,6(2):182-197. [10] Yen G G,LU Haiming.Dynamic multiobective evolutionary algorithm:adaptive cell-based rank and density estimation[J].IEEE Transactions on Evolutionary Computation,2003,7(3):253-274. [11] 都志辉.高性能计算之并行编程技术:MPI并行程序设计[M].北京:清华大学出版社. [12] 李松斌.基于MPICH平台的多种群并行遗传算法[J].厦门大学学报:自然科学版,2006,45(5):646-651. LI Songbin.A multiple-population parallel genetic algorithm based on platform MPICH[J].Journal of Xiamen University:Natural Science,2006,45(5):646-651.(in Chinese) [13] 郭淑芬,陈军,赵洪利.涡喷与涡扇发动机重量估算方法[J].航空发动机,1999,(2):8-10.
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