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Surrogate-based aerodynamic optimization for enhancing the shelter effect of porous fences on a triangular prism
Atmospheric Environment ( IF 5 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.atmosenv.2020.117922
Y. Qiu , B. San , H. He , Y. Zhao

Abstract 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-e 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.

中文翻译:

基于代理的空气动力学优化增强多孔围栏在三棱柱上的遮蔽效果

摘要 为了进一步改善多孔围栏对三棱柱煤堆风蚀的遮蔽效果,结合计算流体动力学(CFD)求解器、克里金模型和遗传算法,开发了空气动力学优化程序。二维雷诺-平均纳维-斯托克斯方程和 RNG ke 湍流模型被用于避难所行为的数值模拟。单目标和多目标最小化棱镜表面上的绝对平均压力系数的总和,和/或棱镜周围的总峰值速度比值。提出了两个专注于单前围栏和双围栏优化设计的案例研究,以确定最佳围栏参数(高度和孔隙率)。利用加权求和法解决多目标问题,通过改变目标加权系数,一一找到帕累托最优前沿。结果表明,与近似最优设计相比,多孔围栏的优化设计提供了显着的遮蔽性能改进。还发现加权系数对优化结果有显着影响,通过选择合适的围栏参数,在两个冲突的目标函数之间取得了良好的折衷。
更新日期:2021-01-01
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