Volume 27 Issue 6
Jun.  2012
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XIONG Jian, WANG Xin-yue, SHI Yong-qiang, YAN Zi-guang. Aerodynamic optimization design of high bypass ratio separate-flow exhaust system based on parallel multi-objective genetic algorithm[J]. Journal of Aerospace Power, 2012, 27(6): 1384-1390.
Citation: XIONG Jian, WANG Xin-yue, SHI Yong-qiang, YAN Zi-guang. Aerodynamic optimization design of high bypass ratio separate-flow exhaust system based on parallel multi-objective genetic algorithm[J]. Journal of Aerospace Power, 2012, 27(6): 1384-1390.

Aerodynamic optimization design of high bypass ratio separate-flow exhaust system based on parallel multi-objective genetic algorithm

  • Received Date: 2011-06-28
  • Publish Date: 2012-06-28
  • 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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