高速列车头型的谱系化预测与设计

目的 为强化我国高速列车各车型间的关联性,完善谱系化建设,提升产品识别度,加强品牌建设,补充新车型的外形预测方法,节约研发、制造和运维成本。方法 以日本新干线列车头型为研究对象,按照聚类统计法对运营至今出现的16种头型进行谱系梳理,基于综合造型分析划分四个头型谱系特征区域及各区域内谱系特征的控制变量;运用线性插值建立列车头型谱系特征多目标外形预测模型。结果 通过构建高速列车头型谱系特征预测与外形生成方法,形成“提取—预测—生成”一体化的高速列车头型谱系化设计的多目标预测方案生成系统。结论 协同性能与造型设计的方法为中国高速列车外形设计提供新思路,助力我国高速列车头型谱系化建设。

Pedigree Prediction and Design Method of High-speed Train Head Shape

The work aims to strengthen the correlation between various models of high-speed trains in China, improve the pedigree construction, enhance the product recognition, consolidate the brand building, supplement the shape prediction method of new models, and save R&D, manufacturing, and operation and maintenance cost. With the Japanese Shinkansen train head shape as the research object, the pedigree of 16 head shapes to date was sorted out according to cluster statistics. Based on the comprehensive modeling analysis, pedigree characteristic regions of four head shapes and the control variables of the pedigree characteristics in each region were divided. Linear interpolation was used to establish a multi-objective shape prediction model of train head pedigree features. By constructing the characteristic prediction and shape generation method of high-speed train head pedigree, a multi-objective prediction scheme generation system for high-speed train head pedigree design integrating "extraction-prediction-generation" was formed. The method of collaborative performance and shape design provides new ideas for the shape design of Chinese high-speed trains, and helps the high-speed train head shape pedigree construction in China.