Data-driven rapid prediction model for aerodynamic force of high-speed train with arbitrary streamlined head | |
Chen, Dawei1; Sun ZX(孙振旭)2; Yao, Shuanbao1; Xu SF(许盛峰)2; Yin B(银波)2; Guo DL(郭迪龙)2; Yang GW(杨国伟)2; Ding, Sansan1 | |
发表期刊 | ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS |
2022-12-31 | |
卷号 | 16期号:1页码:2190-2205 |
ISSN | 1994-2060 |
摘要 | Due to the complicated geometric shape, it's difficult to precisely obtain the aerodynamic force of high-speed trains. Taking numerical and experimental data as the training data, the present work proposed a data-driven rapid prediction model to solve this problem, which utilized the Support Vector Machine (SVM) model to construct a nonlinear implicit mapping between design variables and aerodynamic forces of high-speed train. Within this framework, it is a key issue to achieve the consistency and auto-extraction of design variables for any given streamlined shape. A general parameterization method for the streamlined shape which adopted the idea of step-by-step modeling has been proposed. Taking aerodynamic drag as the prediction objective, the effectiveness of the model was verified. The results show that the proposed model can be successfully used for performance evaluation of high-speed trains. Keeping a comparable prediction accuracy with numerical simulations, the efficiency of the rapid prediction model can be improved by more than 90%. With the enrichment of data for the training set, the prediction accuracy of the rapid prediction model can be continuously improved. Current study provides a new approach for aerodynamic evaluation of high-speed trains and can be beneficial to corresponding engineering design departments. |
关键词 | Aerodynamic force inverse design high-speed train SVM numerical simulation wind tunnel test |
DOI | 10.1080/19942060.2022.2136758 |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000884571500001 |
WOS研究方向 | Engineering ; Mechanics |
WOS类目 | Engineering, Multidisciplinary ; Engineering, Mechanical ; Mechanics |
资助项目 | Youth Innovation Promotion Association CAS[2019020] |
项目资助者 | Youth Innovation Promotion Association CAS |
论文分区 | 一类 |
力学所作者排名 | 1 |
RpAuthor | Sun, Zhenxu |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://dspace.imech.ac.cn/handle/311007/90784 |
专题 | 流固耦合系统力学重点实验室 |
通讯作者 | Sun ZX(孙振旭) |
作者单位 | 1.CRRC Qingdao Sifang Co Ltd, Qingdao, Peoples R China; 2.Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, Dawei,Sun ZX,Yao, Shuanbao,et al. Data-driven rapid prediction model for aerodynamic force of high-speed train with arbitrary streamlined head[J]. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS,2022,16,1,:2190-2205. |
APA | Chen, Dawei.,Sun ZX.,Yao, Shuanbao.,Xu SF.,Yin B.,...&Ding, Sansan.(2022).Data-driven rapid prediction model for aerodynamic force of high-speed train with arbitrary streamlined head.ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS,16(1),2190-2205. |
MLA | Chen, Dawei,et al."Data-driven rapid prediction model for aerodynamic force of high-speed train with arbitrary streamlined head".ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS 16.1(2022):2190-2205. |
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