基于MNSSC法的叶片安装角的不确定性分析  

Uncertainty Quantification in Blade StaggerAngle Based on MNSSC Method

作　　者：王坤 陈浮[1] 俞建阳[1] 马贵辉 WANG Kun;CHEN Fu;YU Jianyang;MA Guihui(School of Energy Science and Engineering,Harbin Institute of Technology,,Harbin1150001,China)

机构地区：[1]哈尔滨工业大学能源科学与工程学院,哈尔滨150001

出　　处：《工程热物理学报》2023年第10期2705-2712,共8页Journal of Engineering Thermophysics

基　　金：中国博士后科学基金资助项目(No.2018M631928)。

摘　　要：本文采用了改进的嵌套式稀疏网格随机配置(Modified Nested Sparse-grid Stochastic Collocation, MNSSC)方法研究了涡轮叶片安装角的随机误差对叶栅气动性能的影响。结果表明,MNSSC法解决了维数诅咒问题,降低了高维样本数量的同时避免了样本的浪费,MNSSC法可以快速有效地模拟多个不确定量在内流流场中的传播;安装角的不确定性对吸力边的影响较为明显,而其对于叶片压力边的影响较小,且其在吸力边轮廓处的40%Cax处的影响最为显著;安装角的不确定性对流场的影响沿A向传播,且其主要影响分离区等速度梯度大的区域。In this paper,based on the Modified Nested Sparse-grid Stochastic Collocation(MNSSC)method,the influence of the random error of the turbine blade stagger angle on the aerodynamic performance of the cascade is studied.The results show that the MNSSC method overcomes the curse of dimension,reduces the number of high-dimensional samples and avoids the waste of samples.The MNSSC method can quickly and effectively simulate the propagation of multiple uncertainties in the internal fow field;The infuence of uncertainties on the suction side is significantly greater than that on the pressure side,and it has the greatest infuence on the suction side of 40%Cax;the uncertainties of the stagger angle affect the fow field along the A direction,and its mainly affects areas with large velocity gradients such as separation regions.

关 键 词：不确定性量化 改进的嵌套式稀疏网格随机配置法 叶片安装角误差 

分 类 号：V231.3[航空宇航科学与技术—航空宇航推进理论与工程]