参数化驱动的高速列车头型气动外形优化设计

Optimized Design of Parameteric-driven Aerodynamic Shape of High-speed EMU Head-type

通过建立参数化驱动的高速列车头型气动性能自动计算的优化分析流程,运用基于多目标遗传算法NSGA-Ⅱ的整体多目标优化设计方法,对车头长细比、纵向对称线、水平最大轮廓线、车底水平轮廓线、辅助剖面线、车头鼻尖高度等关键控制变量进行与气动特性相关的优化设计,提出综合性能较佳的头型气动外形。本文所提出的多目标优化设计方法可为不同风格、不同技术需求的动车组头型及气动外形设计工作提供参考。

This paper established an automatical calculation process for parameteric driven aerodynamic per formance optimization of the new EMU head-type. On the basis of the multi-objective genetic algorithm NS- GA II , optimal design was performed in respect of 6 key design variables including the slenderness ratio of the head type, the longitudinal line of symmetry, the maximum horizontal contour, the horizontal contour of the car bottom, the assisting hatching and the height of the nose. Then the best aerodynamic shapes of the head were selected. The multi-objective optimization design method can support design work of aerodynamic shapes and new head types which adapt to different styles and different technology needs.