基于RSM-HDMR代理模型与NLPQLP算法的水泵水轮机导叶翼型双向流动优化
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国家自然科学基金项目(52066011)


Bidirectional Flow Optimization of Guide Vane Airfoils for Pump Turbine Based on RSM-HDMR Surrogate Model and NLPQLP Algorithm
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    摘要:

    以水泵水轮机活动导叶翼型优化为目标,通过B样条参数化活动导叶型线,为保证活动导叶翼型结构强度,在水泵水轮机活动导叶优化过程中保持导叶枢轴直径和导叶形状沿叶高方向基本不变,选取活动导叶翼型上下型线共12个控制点,在给定区间中利用拉丁超立方抽样,改变控制点坐标实现活动导叶翼型几何重构;以效率为目标函数,分析了360组不同导叶翼型对水泵水轮机效率的影响,兼顾水泵、水轮机两种工况的流动机理,引入综合损失系数,利用RSM HDMR代理模型得到综合损失系数对导叶型线参数的适应函数,通过NLPQLP算法对适应函数做最小化寻优求解,并运用数值模拟验证活动导叶翼型RSM-HDMR代理模型的预测数据。结果表明,优化后导叶型线在基本不改变原水泵工况点内流能量特性的条件下,使得高效点后移,同时对水轮机工况内流特性改善,减少湍动能流失,尾部的能量耗散减小,效率提高了0.379个百分点,证明该种导叶翼型优化方法可行,可为水泵水轮机活动导叶翼型设计和改型提供方法和理论指导。

    Abstract:

    Taking the optimization of the active guide vane airfoil shape of the pump turbine as the objective, the active guide vane shape was parameterized by B-splines, and in order to ensure the structural strength of the active guide vane airfoil, the pivot diameter of the guide vane and the shape of the guide vane along the height direction of the vane were kept unchanged in the optimization of the active guide vane of the pump turbine, a total of 12 control points of the active guide vane airfoil shape up and down, and the control points were changed by the use of Latin hypercube sampling to realize the geometric reconfiguration of the active guide vane airfoil shape in the given interval. The geometrical reconstruction of the guide vane airfoil was achieved by changing the control points in a given interval by using Latin hypercube sampling, and the influence of 360 different guide vane airfoils on the efficiency of the pump-turbine was analyzed with the efficiency as the objective function, and the comprehensive loss coefficients were introduced by taking into account the flow mechanisms of the pump and the turbine in two working conditions. Numerical simulation was used to validate the prediction data of the RSM HDMR surrogate model for the active guide vane airfoil. The results showed that the optimized guide vane profile shifted the high-efficiency point backward without changing the energy characteristics of the internal flow at the original pump operating point, and at the same time, it improved the internal flow characteristics of the turbine operating condition, reduced the loss of turbulence kinetic energy, and reduced the energy dissipation at the tail, and improved the efficiency by 0.379 percentage points, which proved that the optimization method of this guide vane airfoil profile was feasible, and it can provide methodological and theoretical guidance for the design and modification of the pump turbine's movable guide vane airfoil profile.

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李琪飞,姚磊,辛路.基于RSM-HDMR代理模型与NLPQLP算法的水泵水轮机导叶翼型双向流动优化[J].农业机械学报,2026,57(5):314-324. LI Qifei, YAO Lei, XIN Lu. Bidirectional Flow Optimization of Guide Vane Airfoils for Pump Turbine Based on RSM-HDMR Surrogate Model and NLPQLP Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery,2026,57(5):314-324.

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  • 收稿日期:2024-12-05
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  • 在线发布日期: 2026-03-01
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