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| DOI | 10.1016/j.atmosenv.2020.117922 |
| Surrogate-based aerodynamic optimization for enhancing the shelter effect of porous fences on a triangular prism | |
| Qiu Y.; San B.; He H.; Zhao Y. | |
| 发表日期 | 2021 |
| ISSN | 13522310 |
| 卷号 | 244 |
| 英文摘要 | To further improve the shelter effect of porous fences on the wind erosion of a triangular prism pile of coal, an aerodynamic optimization procedure has been developed, by coupling computational fluid dynamics (CFD) solver, kriging model and genetic algorithm. Two-dimensional Reynolds- Averaged Navier-Stokes equations with the RNG k-ε turbulence model were used for numerical simulation of the shelter behaviour. The single and multi-objectives were minimizing the sum of absolute mean pressure coefficients on the surface of the prism, and/or the total peak velocity ratio values around the prism. Two case studies focusing on the optimization design of a single front fence and dual fences were presented, in order to determine the optimal fence parameters (height and porosity). The weighted-sum method was utilized to solve multi-objective problems, which finds the Pareto-optimal front one by one by changing the objective weighting coefficients. The results showed that the optimal design of porous fence provided a remarkable shelter performance improvement compared with the near optimal design. It was also found that the weighting coefficient had a significant influence on the optimal results, and a good trade-off between the two conflicting objective functions has been achieved by selecting suitable fence parameters. © 2020 Elsevier Ltd |
| 英文关键词 | Aerodynamic optimization; CFD modeling; Porous fence; Shelter effect; Wind erosion |
| 语种 | 英语 |
| scopus关键词 | Aerodynamics; Computational fluid dynamics; Economic and social effects; Fences; Genetic algorithms; Optimal systems; Pareto principle; Piles; Prisms; Turbulence models; Aerodynamic optimization; Conflicting objectives; Mean pressure coefficients; Multi-objective problem; Optimization design; Pareto-optimal front; Reynolds Averaged Navier-Stokes Equations; Weighting coefficient; Navier Stokes equations; coal; aerodynamics; computational fluid dynamics; genetic algorithm; numerical model; optimization; turbulence; wind erosion; Article; computational fluid dynamics; height; kriging; porosity; pressure; priority journal; process optimization; simulation; surface property; velocity; wind erosion |
| 来源期刊 | Atmospheric Environment
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| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/144859 |
| 作者单位 | College of Civil and Transportation Engineering, Hohai University, Nanjing, 210098, China |
| 推荐引用方式 GB/T 7714 | Qiu Y.,San B.,He H.,et al. Surrogate-based aerodynamic optimization for enhancing the shelter effect of porous fences on a triangular prism[J],2021,244. |
| APA | Qiu Y.,San B.,He H.,&Zhao Y..(2021).Surrogate-based aerodynamic optimization for enhancing the shelter effect of porous fences on a triangular prism.Atmospheric Environment,244. |
| MLA | Qiu Y.,et al."Surrogate-based aerodynamic optimization for enhancing the shelter effect of porous fences on a triangular prism".Atmospheric Environment 244(2021). |
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