Slipstream severely affects the safety of trackside workers and equipment. With use of profile superimposition method and vehicle modeling method, parametrization of the whole train is carried out. Then, a slipstream optimization study has been performed, taking components of slipstream in different directions at the standard heights, the drag coefficient of the whole train and the volume of the driving cab as the design objectives. For each design objective, one unique ϵ-TSVR surrogate model has been constructed. Six final Pareto sets have been obtained on the base of six groups of different fitness functions by using multi-objective particle swarm method. Results reveal that the volume of the driving cab keeps almost the same, compared to the original shape. The velocity components of train-induced wind at the positions 0.2 and 1.4 m above the top of the rail, and the drag coefficient of the train are reduced by 11.6%, 33.9%, 24.7%, 25.9% and 13.0% respectively. Sensitivity analysis reveals that the length of the streamline, the height of the train and the width of the train influence significantly on the aerodynamic performance, and the train with a tall and thin streamline will benefit in reducing the slipstream and aerodynamic drag.

滑流严重影响路边工人和设备的安全。利用轮廓叠加法和车辆建模法，对整列火车进行参数化。然后，进行了滑流优化研究，以标准高度上不同方向的滑流分量，整列火车的阻力系数和驾驶室的体积为设计目标。对于每个设计目标，都构建了一个独特的ϵ-TSVR替代模型。通过使用多目标粒子群方法，在六组不同的适应度函数的基础上，获得了六个最终的帕累托集。结果表明，驾驶室的体积与原始形状相比几乎保持不变。火车在0.2和1位置的风速分量。距轨道顶部4 m，火车的阻力系数分别降低了11.6％，33.9％，24.7％，25.9％和13.0％。敏感性分析表明，流线的长度，列车的高度和列车的宽度会显着影响空气动力性能，而流线又细又高的列车将有利于减少滑流和空气阻力。