| Robust optimisation of the streamlined shape of a high-speed train in crosswind conditions | |
Wang YT(王业腾); Sun ZX(孙振旭) ; Ju SJ(鞠胜军); Guo DL(郭迪龙); Yang GW(杨国伟)
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| Source Publication | ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS
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| 2023-12-31 | |
| Volume | 17Issue:1Pages:2234012 |
| ISSN | 1994-2060 |
| Abstract | Traditional deterministic aerodynamic optimisation cannot consider environmental uncertainty, which may lead to sensitivity issues. The present study proposes a robust design framework for the aerodynamic optimisation of high-speed trains, which accounts for the uncertain wind and its impact on crosswind stability. In this framework, a variance analysis method based on the Non-Intrusive Polynomial Chaos is proposed to determine the deformation area, and a parametric model is subsequently established. The Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is used as the optimiser to minimise the mean and variance of the aerodynamic response. The mean and variance can be quickly predicted by an uncertainty analysis approach combining Monte Carlo simulation and Kriging model. The framework is then applied to the optimisation of a high-speed train under crosswind. The results of the robust optimisation are compared with those of the baseline geometry and deterministic optimisation. The mean and variance of the rolling moment under crosswind are reduced by 2.26% and 3.37% respectively after optimisation, indicating that the performance and robustness are both improved. The proposed framework is effective for the engineering design of high-speed trains and can also provide a reference for the robust design of other aerodynamic shapes. |
| Keyword | Railway aerodynamic High-speed train Crosswind Robust optimisation Flow structures > |
| DOI | 10.1080/19942060.2023.2234012 |
| Indexed By | SCI |
| Language | 英语 |
| WOS ID | WOS:001029641600001 |
| WOS Research Area | Engineering ; Mechanics |
| WOS Subject | Engineering, Multidisciplinary ; Engineering, Mechanical ; Mechanics |
| Classification | 一类 |
| Ranking | 1 |
| Contributor | Sun, ZX (corresponding author), Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing, Peoples R China. ; Sun, ZX (corresponding author), Univ Chinese Acad Sci, Beijing, Peoples R China. |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/92606 |
| Collection | 流固耦合系统力学重点实验室 |
| Affiliation | 1.{Wang, Yeteng, Sun, Zhenxu, Ju, Shengjun, Guo, Dilong, Yang, Guowei} Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing, Peoples R China 2.{Wang, Yeteng, Sun, Zhenxu, Ju, Shengjun, Guo, Dilong, Yang, Guowei} Univ Chinese Acad Sci, Beijing, Peoples R China |
| Recommended Citation GB/T 7714 | Wang YT,Sun ZX,Ju SJ,et al. Robust optimisation of the streamlined shape of a high-speed train in crosswind conditions[J]. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS,2023,17,1,:2234012.Rp_Au:Sun, ZX (corresponding author), Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing, Peoples R China., Sun, ZX (corresponding author), Univ Chinese Acad Sci, Beijing, Peoples R China. |
| APA | 王业腾,孙振旭,鞠胜军,郭迪龙,&杨国伟.(2023).Robust optimisation of the streamlined shape of a high-speed train in crosswind conditions.ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS,17(1),2234012. |
| MLA | 王业腾,et al."Robust optimisation of the streamlined shape of a high-speed train in crosswind conditions".ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS 17.1(2023):2234012. |
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| Jp2023Fa323.pdf（3802KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Download | |
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