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| Content Provider | IET Digital Library |
|---|---|
| Author | Yan, Chengping Lai, Chenguang Wang, Qingyu Hu, Bo Deng, Liangsheng |
| Abstract | Vehicle aerodynamic shape optimisation is a typical non-linear and computationally expensive black box problem, which is severely limited by time and cost of the objective function evaluations during the global optimisation process. To solve the shortcomings of low efficiency and high cost of the existing vehicle drag reduction method, an improved efficient global optimisation (EGO) algorithm is used to optimise a four-dimensional aerodynamic drag reduction design of a vehicle combined with computational fluid dynamics numerical simulation technology. Moreover, data mining technologies are used to reveal the influence mechanisms of design variables on aerodynamic drag and to analyse the relationship between the variables. It is demonstrated that the improved EGO algorithm, based on the kriging response surface and expected improvement function, can achieve the global optimum with minimum function evaluations. The aerodynamic drag of the optimal design is 1.56% lower than that of the original vehicle. The data mining results showed that the engine hood inclination and the tail upturn angle play a leading role in the vehicle's aerodynamic drag, and the hood inclination has the greatest impact. |
| Starting Page | 384 |
| Ending Page | 391 |
| Page Count | 8 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 13, Jan (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/13 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8954 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2018-10-30 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
| Subject Keyword | Aerodynamics Applied Fluid Mechanics Computational Fluid Dynamics Computational Fluid Dynamics Numerical Simulation Technology Computational Method Computationally Expensive Black Box Problem Data Mining Data Mining Technology Design Engineering Design Variables Drag Reduction EGO Algorithm Engine Hood Inclination Fluid Mechanics Four-dimensional Aerodynamic Drag Reduction Design General Fluid Dynamics Theory Global Optimisation Algorithm Global Optimisation Process Global Optimum Low Efficiency Mechanical Engineering Minimum Function Evaluations Numerical Analysis Numerical Approximation And Analysis Optimisation Original Vehicle Search Problem Simulation Statistical Analysis Statistics Tail Upturn Angle Vehicle Aerodynamic Shape Optimisation Vehicle Drag Reduction Method Vehicle Dynamics Vehicle Mechanics |
| Content Type | Text |
| Resource Type | Article |
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