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Multi-Objective Optimization of High-Speed Train Nose Shape Using the Vehicle Modeling Function

机译:使用车辆建模功能的高速列车鼻形的多目标优化

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To reduce a micro-pressure wave and an aerodynamic drag of a high-speed train, two-step optimization is performed on the train nose shape using the vehicle modeling function. In the first step, the cross-sectional area distribution of a train nose is optimized to reduce a micro-pressure wave. The optimized cross-sectional area distributions of a train nose have an extremely blunt front end and a negative gradient around a middle section. The steep change of the cross-sectional area from the positive to negative gradient causes a strong expansion effect. This phenomenon divides one large compression wave into two small waves. Compared to the previous optimization results, the optimized shapes reduce the maximum micro-pressure wave by 12-19%. To generate 3-D nose shapes from the optimized cross-sectional area distribution, the vehicle modeling function is proposed. This mathematical function makes a simple curve with a rounded front end, and the curve shape is controlled by two parameters. Modeling of a complex curve can be achieved by a combination of several functions. To make the 3-D nose shape, the 2-D side and top view shapes are defined firstly, and the cross sections are produced along the length of a train. One of the most important features of the vehicle modeling function is that it can make various 3-D nose shapes for a given cross-sectional area. The 3-D nose shape optimization is done with the optimized cross-sectional area distribution. Through the second optimization, the aerodynamic drag force is reduced by 5.6% preserving the minimum micro-pressure wave.
机译:为了减少高速列车的微压波和空气动力学阻力,使用车辆建模功能对火车鼻部的两步优化进行。在第一步中,优化火车鼻的横截面积分布以减少微压波。火车鼻的优化的横截面积分布具有极其钝的前端和中间部分的负梯度。从阳性到负梯度的横截面积的陡峭变化导致强大的膨胀效果。这种现象将一个大的压缩波分成两个小波。与先前的优化结果相比,优化的形状将最大的微压波降低12-19%。为了从优化的横截面积分布产生3-D鼻形,提出了车辆建模功能。该数学函数使具有圆形前端的简单曲线,曲线形状由两个参数控制。通过多种功能的组合可以实现复杂曲线的建模。为了使3-D鼻形,首先定义了2-D侧和顶视图,并且横截面沿火车的长度产生。车辆建模功能的最重要特征之一是它可以为给定的横截面积制作各种3-D鼻形。使用优化的横截面积分布完成3-D鼻形优化。通过第二优化,空气动力学阻力减少了5.6%,保留了最小的微压波。

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