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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part C. Journal of mechanical engineering science >Application of multi-objective optimization techniques to improve the aerodynamic performance of a tunnel ventilation jet fan
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Application of multi-objective optimization techniques to improve the aerodynamic performance of a tunnel ventilation jet fan

机译：多目标优化技术在提高隧道通风射流风机气动性能中的应用

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This paper describes the design optimization of a tunnel ventilation jet fan through multi-objective optimization techniques. Four design variables were selected for design optimization. To analyze the performance of the fan, numerical analyses were conducted, and three-dimensional Reynolds-averaged Navier-Stokes equations with a shear stress transport turbulence model were solved. Two objective functions, the total efficiency of the forward direction and the ratio of the reverse direction outlet velocity to the forward direction outlet velocity, were employed, and multi-objective optimization was carried out to improve the aerodynamic performance. A response surface approximation surrogate model was constructed for each objective function based on numerical solutions obtained at specified design points. The non-dominated sorting genetic algorithm with a local search procedure was used for multi-objective optimization. The tradeoff between the two objectives was determined and described with respect to the Pareto-optimal solutions. Based on the analysis of the optimization results, we propose an optimization model to satisfy the objective function. Finally, to verify the performance, experiments with the base model and the optimization model were carried out.
机译：本文通过多目标优化技术描述了隧道通风射流风机的设计优化。选择了四个设计变量进行设计优化。为了分析风扇的性能，进行了数值分析，并求解了具有切应力传递湍流模型的三维雷诺平均Navier-Stokes方程。采用了两个目标函数，即前向总效率和后向出口速度与前向出口速度之比，并进行了多目标优化以提高空气动力学性能。基于在指定设计点获得的数值解，为每个目标函数构建了一个响应面近似替代模型。将具有局部搜索过程的非优势排序遗传算法用于多目标优化。相对于帕累托最优解，确定并描述了两个目标之间的折衷。在对优化结果进行分析的基础上，提出了满足目标函数的优化模型。最后，为了验证性能，对基本模型和优化模型进行了实验。

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