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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.
发表期刊OPTIMIZATION AND ENGINEERING
2016
卷号17期号:3页码:605-630
ISSN1389-4420
摘要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.
关键词Parametric Design Aerodynamic Shape Svm Model Pso Multi-objective Optimization High Speed Trains
DOI10.1007/s11081-015-9298-6
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收录类别SCI ; EI
语种英语
WOS记录号WOS:000383584100006
关键词[WOS]Parametric design ; Aerodynamic shape ; SVM model ; PSO ; Multi-objective optimization ; High speed trains
WOS研究方向Engineering ; Operations Research & Management Science ; Mathematics
WOS类目Engineering, Multidisciplinary ; Operations Research & Management Science ; Mathematics, Interdisciplinary Applications
项目资助者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.
课题组名称LMFS流固耦合与数值计算(LHO)
论文分区Q3
力学所作者排名False
引用统计
被引频次:23[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://dspace.imech.ac.cn/handle/311007/59710
专题流固耦合系统力学重点实验室
通讯作者Sun, ZX (reprint author), Chinese Acad Sci, Inst Mech, Key Lab Applicat Mech Engn Syst, Beijing 100190, Peoples R China.
推荐引用方式
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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