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Multi-objective optimization of a high-speed train head based on the FFD method

机译:基于FFD方法的高速列车机头多目标优化

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摘要

In this work, multi-objective optimization of the aerodynamic performance of the CRH2 high-speed train in open air was carried out. Four regions of the train head were studied and optimized. The Free-Form Deformation (FFD) method was used in this paper to perform the mesh deformation process without remodeling and re-meshing. Sample points and their responses were obtained by optimal Latin Hypercube Sampling (opt. LHS) plan and Computational Fluid Dynamics (CFD) simulations. The relationships between the design variables and their responses as well as the contributions of the main factors were analyzed. After then, a multi-objective optimization using Non-dominated Sorting Genetic Algorithm-II (NSGA-II) was conducted based on the Kriging model and a set of Pareto solutions were obtained. In the end of this paper, a comparison of the aerodynamic performance between the original shape and an optimal shape that was selected from the Pareto solutions is presented. The use of the FFD method and a surrogate model greatly improves the calculation efficiency in this study. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在这项工作中,对CRH2高速列车在露天的空气动力学性能进行了多目标优化。对火车头的四个区域进行了研究和优化。本文采用自由变形(FFD)方法执行网格变形过程,而无需重塑和重新网格化。采样点及其响应是通过最佳的拉丁超立方体采样(优化的LHS)计划和计算流体动力学(CFD)模拟获得的。分析了设计变量及其响应之间的关系以及主要因素的贡献。此后,基于克里格模型,使用非支配排序遗传算法-II(NSGA-II)进行了多目标优化,并获得了一组Pareto解。在本文的最后,比较了原始形状和从帕累托解决方案中选择的最佳形状之间的空气动力学性能。在本研究中,使用FFD方法和替代模型可以大大提高计算效率。 (C)2016 Elsevier Ltd.保留所有权利。

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