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泵站进水池的结构参数,特别是吸水喇叭管参数取值对泵站整体流态影响很大。本文基于响应曲面模型和CFD数值模拟,以垂直布置的吸水喇叭管悬空高、后壁距和淹没深度为设计变量,以进水池压力场、速度场和涡量场评价指标的加权函数为目标函数,进行2因素和3因素的优化设计分析。研究结果表明,变量之间对进水池流态的交互作用较大,淹没深度对最优悬空高、后壁距的影响不可忽略,且淹没深度与悬空高的交互作用(P=0.0019)较其与后壁距的交互作用(P=0.0696)大。针对本文垂直布置型式的吸水喇叭管,推荐最优参数组合是悬空高0.77 D,后壁距0.37 D,淹没深度2.19 D。在该组合下实际值与预测值误差不大于4.82%,与泵站设计规范推荐值相比,其计算域水力损失降低0.98%,流速分布均匀度提高5.92%,机组纵剖面涡量分布特征值降低3.1倍,大大改善了进水池的流态。这表明所建立的二次多项式响应面模型能够较精确地表示设计变量与目标函数之间的关系,基于响应曲面模型的优化设计方法可有效用于泵站进水流场的流态优化。
Pumping station into the pool structure parameters, especially the suction bellows parameters of the overall flow of the pump station has a great impact. In this paper, based on response surface model and CFD numerical simulation, taking the vertically arranged suspension pipe height, rear wall distance and submerged depth as design variables, taking the weighted function of evaluation index of pressure field, velocity field and vorticity field as the objective function , 2 factors and 3 factors of optimal design analysis. The results show that there is a large interaction between the variables and the inflow pool flow pattern. The submerged depth can not neglect the effect of the optimal height and the backwall distance. The interaction between the submerged depth and the suspended height (P = 0.0019) The interaction with the posterior wall distance (P = 0.0696) was large. For the vertical type suction bellows, the optimal combination of parameters is 0.77 D for dangling height, 0.37 D for rear wall and 2.19 D for submerging depth. The error between actual value and predicted value under this combination is not more than 4.82%. Compared with the recommendation of pumping station design code, the hydraulic loss in calculation domain decreases 0.98% and the flow velocity distribution uniformity increases 5.92%. The eigenvalue Reduce 3.1 times, greatly improving the flow into the pool. This shows that the established quadratic polynomial response surface model can represent the relationship between design variables and objective function more accurately. The optimal design method based on response surface model can be effectively used to optimize the flow field of pumping station.