| Multi-objective optimization of the streamlined head of high-speed trains based on the Kriging model | |
Yao SB(姚拴宝) ; Guo DL(郭迪龙); Sun ZX(孙振旭); Yang GW(杨国伟); Chen DW
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| Source Publication | SCIENCE CHINA-TECHNOLOGICAL SCIENCES
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| 2012-12-01 | |
| Volume | 55Issue:12Pages:3495-3509 |
| ISSN | 1674-7321 |
| Abstract | As the running speed of high-speed trains increases, aerodynamic drag becomes the key factor which limits the further increase of the running speed and energy consumption. Aerodynamic lift of the trailing car also becomes the key force which affects the amenity and safety of the train. In the present paper, a simplified CRH380A high-speed train with three carriages is chosen as the model in order to optimize aerodynamic drag of the total train and aerodynamic lift of the trailing car. A constrained multi-objective optimization design of the aerodynamic head shape of high-speed trains based on adaptive non-dominated sorting genetic algorithm is also developed combining local function three-dimensional parametric approach and central Latin hypercube sampling method with maximin criteria based on the iterative local search algorithm. The results show that local function parametric approach can be well applied to optimal design of complex three-dimensional aerodynamic shape, and the adaptive non-dominated sorting genetic algorithm can be more accurate and efficient to find the Pareto front. After optimization the aerodynamic drag of the simplified train with three carriages is reduced by 3.2%, and the lift coefficient of the trailing car by 8.24%, the volume of the streamlined head by 2.16%; the aerodynamic drag of the real prototype CRH380A is reduced by 2.26%, lift coefficient of the trailing car by 19.67%. The variation of aerodynamic performance between the simplified train and the true train is mainly concentrated in the deformation region of the nose cone and tail cone. The optimization approach proposed in the present paper is simple yet efficient, and sheds lights on the constrained multi-objective engineering optimization design of aerodynamic shape of high-speed trains. |
| Keyword | Multi-objective Optimization Kriging Genetic Algorithms Aerodynamic Shape High-speed Trains |
| Subject Area | 工业空气动力学 |
| URL | 查看原文 |
| Indexed By | SCI ; EI |
| Language | 英语 |
| WOS ID | WOS:000313766100029 |
| Funding Organization | The project was supported by the Major State Basic Research Development Program of China (“973” Program) (Grant No. 2011CB711100) ;National Key Technology R&D Program (Grant No. 2009BAQG12A03) |
| Department | LMFS流固耦合与数值计算(LHO) |
| Classification | 二类/Q2 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/46790 |
| Collection | 流固耦合系统力学重点实验室 |
| Corresponding Author | Sun ZX(孙振旭) |
| Recommended Citation GB/T 7714 | Yao SB,Guo DL,Sun ZX,et al. Multi-objective optimization of the streamlined head of high-speed trains based on the Kriging model[J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES,2012,55,12,:3495-3509. |
| APA | 姚拴宝,郭迪龙,孙振旭,杨国伟,&Chen DW.(2012).Multi-objective optimization of the streamlined head of high-speed trains based on the Kriging model.SCIENCE CHINA-TECHNOLOGICAL SCIENCES,55(12),3495-3509. |
| MLA | 姚拴宝,et al."Multi-objective optimization of the streamlined head of high-speed trains based on the Kriging model".SCIENCE CHINA-TECHNOLOGICAL SCIENCES 55.12(2012):3495-3509. |
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