Aerodynamic drag reduction in a vehicle based on efficient global optimisation
| Autor: | Chengping Yan, Chenguang Lai, Qingyu Wang, Bo Hu, Liangsheng Deng |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
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data mining design engineering numerical analysis aerodynamics drag reduction optimisation computational fluid dynamics vehicle dynamics statistical analysis vehicle aerodynamic shape optimisation computationally expensive black box problem global optimisation process low efficiency four-dimensional aerodynamic drag reduction design computational fluid dynamics numerical simulation technology data mining technologies design variables global optimum minimum function evaluations original vehicle global optimisation algorithm EGO algorithm vehicle drag reduction method engine hood inclination tail upturn angle Engineering (General). Civil engineering (General) TA1-2040 |
| Zdroj: | The Journal of Engineering (2018) |
| Druh dokumentu: | article |
| ISSN: | 2051-3305 |
| DOI: | 10.1049/joe.2018.8954 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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