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Robust Design of Supercritical Wing Aerodynamic Optimization Considering Fuselage Interfering 被引量:4

考虑机身干扰的超临界机翼稳健型优化设计(英文)
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摘要 Robust optimization approach for aerodynamic design has been developed and applied to supercritical wing aerodynamic design. The aerodynamic robust optimization design system consists of genetic optimization algorithm, improved back propagation (BP) neural network and deformation grid technology. In this article, the BP neural network has been improved in two major aspects to enhance the training speed and precision. Uniformity sampling is adopted to generate samples which will be used to establish surrogate model. The testing results show that the prediction precision of the improved BP neural network is reliable. On the assumption that the law of Mach number obeys normal distribution, supercritical wing configuration considering fuselage interfering of a certain aerobus has been taken as a typical example, and five design sections and twist angles have been optimized. The results show that the optimized wing, which considers robust design, has better aerodynamic characteristics. What's more, the intensity of shock wave has been reduced. Robust optimization approach for aerodynamic design has been developed and applied to supercritical wing aerodynamic design. The aerodynamic robust optimization design system consists of genetic optimization algorithm, improved back propagation (BP) neural network and deformation grid technology. In this article, the BP neural network has been improved in two major aspects to enhance the training speed and precision. Uniformity sampling is adopted to generate samples which will be used to establish surrogate model. The testing results show that the prediction precision of the improved BP neural network is reliable. On the assumption that the law of Mach number obeys normal distribution, supercritical wing configuration considering fuselage interfering of a certain aerobus has been taken as a typical example, and five design sections and twist angles have been optimized. The results show that the optimized wing, which considers robust design, has better aerodynamic characteristics. What's more, the intensity of shock wave has been reduced.
出处 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2010年第5期523-528,共6页 中国航空学报(英文版)
关键词 aircraft design robust design BP neural network grid deformation normal distribution genetic algorithm aircraft design robust design BP neural network grid deformation normal distribution genetic algorithm
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  • 1HICKS R M,VANDERPLAATS G N.Application of numerical optimization to the design of supercritical airfoil without dragcreep[A].SAE Paper 770440 Business Aircraft Meeting[C],Wichita,1977.
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  • 3WU LI,LUC HUYSE,SHARON PADULA.Robust airfoil optimization to achieve consistent drag reduction over a Mach range[R].ICASE Report No.2001-22,2001.
  • 4SHINKYU JEONG,MITSUHIRO MURAYAMA,KAZUOMI YAMAMOTO.Efficient optimum design method using Kriging model[J].Journal of Aircraft,2005,42(2):413-420.

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