Abstract
With the speed upgrade of the high-speed train, the aerodynamic drag becomes one of the key factors to restrain the train speed and energy saving. In order to reduce the aerodynamic drag of train head, a new parametric approach called local shape function (LSF) was adopted based on the free form surface deformation (FFD) method and a new efficient optimization method based on the response surface method (RSM) of GA-GRNN. The optimization results show that the parametric method can control the large deformation with a few design parameters, and can ensure the deformation zones smoothness and smooth transition of different deformation regions. With the same sample points for training, GA-GRNN performs better than GRNN to get the global optimal solution. As an example, the aerodynamic drag for a simplified shape with head + one carriage + tail train is reduced by 8.7%. The proposed optimization method is efficient for the engineering design of high-speed train.
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Yao, S., Guo, D. & Yang, G. Three-dimensional aerodynamic optimization design of high-speed train nose based on GA-GRNN. Sci. China Technol. Sci. 55, 3118–3130 (2012). https://doi.org/10.1007/s11431-012-4934-2
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DOI: https://doi.org/10.1007/s11431-012-4934-2