| Parametric design and optimization of high speed train nose | |
Yao SB(姚拴宝) ; Guo DL(郭迪龙); Sun ZX(孙振旭); Chen DW(陈大伟); Yang GW(杨国伟); Sun, ZX (reprint author), Chinese Acad Sci, Inst Mech, Key Lab Applicat Mech Engn Syst, Beijing 100190, Peoples R China.
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| Source Publication | OPTIMIZATION AND ENGINEERING
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| 2016 | |
| Volume | 17Issue:3Pages:605-630 |
| ISSN | 1389-4420 |
| Abstract | Aiming at shortening the design period and improve the design efficiency of the nose shape of high speed trains, a parametric shape optimization method is developed for the design of the nose shape has been proposed in the present paper based on the VMF parametric approach, NURBS curves and discrete control point method. 33 design variables have been utilized to control the nose shape, and totally different shapes could be obtained by varying the values of design variables. Based on the above parametric method, multi-objective particle swarm algorithm, CFD numerical simulation and supported vector machine regression model, multi-objective aerodynamic shape optimization has been performed. Results reveal that the parametric shape design method proposed here could precisely describe the three-dimensional nose shape of high speed trains and could be applied to the concept design and optimization of the nose shape. Besides, the SVM regression model based the multi-points criterion could accurately describe the non-linear relationship between the design variables and objectives, and could be generally utilized in other fields. No matter the simplified model or the real model, the aerodynamic performance of the model after optimization has been greatly improved. Based on the SVR model, the nonlinear relation between the aerodynamic drag and the design variables is obtained, which could provide guidance for the engineering design and optimization. |
| Keyword | Parametric Design Aerodynamic Shape Svm Model Pso Multi-objective Optimization High Speed Trains |
| DOI | 10.1007/s11081-015-9298-6 |
| URL | 查看原文 |
| Indexed By | SCI ; EI |
| Language | 英语 |
| WOS ID | WOS:000383584100006 |
| WOS Keyword | Parametric design ; Aerodynamic shape ; SVM model ; PSO ; Multi-objective optimization ; High speed trains |
| WOS Research Area | Engineering ; Operations Research & Management Science ; Mathematics |
| WOS Subject | Engineering, Multidisciplinary ; Operations Research & Management Science ; Mathematics, Interdisciplinary Applications |
| Funding Organization | This work was supported by 973 program under 2011CB711100 and National Natural Science Foundation of China under 11302233. And Computing Facility for Computational Mechanics Institute of Mechanics, Chinese Academy of Sciences is gratefully acknowledged. |
| Department | LMFS流固耦合与数值计算(LHO) |
| Classification | Q3 |
| Ranking | False |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/59710 |
| Collection | 流固耦合系统力学重点实验室 |
| Corresponding Author | Sun, ZX (reprint author), Chinese Acad Sci, Inst Mech, Key Lab Applicat Mech Engn Syst, Beijing 100190, Peoples R China. |
| Recommended Citation GB/T 7714 | Yao SB,Guo DL,Sun ZX,et al. Parametric design and optimization of high speed train nose[J]. OPTIMIZATION AND ENGINEERING,2016,17,3,:605-630. |
| APA | 姚拴宝,郭迪龙,孙振旭,陈大伟,杨国伟,&Sun, ZX .(2016).Parametric design and optimization of high speed train nose.OPTIMIZATION AND ENGINEERING,17(3),605-630. |
| MLA | 姚拴宝,et al."Parametric design and optimization of high speed train nose".OPTIMIZATION AND ENGINEERING 17.3(2016):605-630. |
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| a2016-146.pdf（2807KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download | |
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