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Multi-objective optimization design method of the high-speed train head

机译:高速列车机头的多目标优化设计方法

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摘要

With the continuous improvement of the train speed, the dynamic environment of trains turns out to be aerodynamic domination. Solving the aerodynamic problems has become one of the key factors of the high-speed train head design. Given that the aerodynamic drag is a significant factor that restrains train speed and energy conservation, reducing the aerodynamic drag is thus an important consideration of the high-speed train head design. However, the reduction of the aerodynamic drag may increase other aerodynamic forces (moments), possibly deteriorating the operational safety of the train. The multi-objective optimization design method of the high-speed train head was proposed in this paper, and the aerodynamic drag and load reduction factor were set to be optimization objectives. The automatic multi-objective optimization design of the high-speed train head can be achieved by integrating a series of procedures into the multi-objective optimization algorithm, such as the establishment of 3D parametric model, the aerodynamic mesh generation, the calculation of the flow field around the train, and the vehicle system dynamics. The correlation between the optimization objectives and optimization variables was analyzed to obtain the most important optimization variables, and a further analysis of the nonlinear relationship between the key optimization variables and the optimization objectives was obtained. After optimization, the aerodynamic drag of optimized train was reduced by up to 4.15%, and the load reduction factor was reduced by up to 1.72%.
机译:随着列车速度的不断提高,列车的动态环境被证明是空气动力学的主导。解决空气动力学问题已成为高速列车机头设计的关键因素之一。鉴于空气阻力是制约列车速度和节能的重要因素,因此减少空气阻力是高速列车机头设计的重要考虑因素。但是,减少空气阻力会增加其他空气动力(力矩),可能会降低列车的运行安全性。提出了高速列车机头的多目标优化设计方法,并将气动阻力和减载系数作为优化目标。可以通过将一系列程序集成到多目标优化算法中来实现高速火车头的自动多目标优化设计,例如建立3D参数模型,气动网格生成,流量计算等。火车周围的磁场,以及车辆系统动力学。分析了优化目标与优化变量之间的相关性,以获得最重要的优化变量,并进一步分析了关键优化变量与优化目标之间的非线性关系。优化后,优化后的列车的空气阻力降低了多达4.15%,负载减少因子降低了多达1.72%。

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  • 来源
    《Journal of Zhejiang University SCIENCE A》 |2013年第9期|631-641|共11页
  • 作者单位

    State Key Laboratory of Traction Power Southwest Jiaotong University">(1);

    State Key Laboratory of Traction Power Southwest Jiaotong University">(1);

    State Key Laboratory of Traction Power Southwest Jiaotong University">(1);

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