基 于 数 据 驱 动 的 扭 转 度 偏 差 对 压 气 机 性 能 的 影 响

To investigate the impact of introducing changes in the dimensionality and correlation of twist deviation on the quantitative results of compressor performance，we adopt a data-driven non-intrusive polynomial chaos method to quantitatively study the uncertainty effect of blade twist deviation on the aerodynamic performance of a single-stage axial subsonic compressor based on the measurement results of twist deviation of a certain compressor rotor blade，and conduct sensitivity analysis. The research results indicate that the standard deviation of compressor performance under various operating conditions decreases with the increase of the twist deviation dimension introduced. Through quantitative comparison，it was observed that considering twist deviations of the blade tip and root sections is sufficient to ensure the convergence of compressor performance standard deviation and performance probability distribution form. However，in sensitivity analysis，it was revealed that more dimensions of twist deviation introduced can lead to more accurate identification of the most sensitive twist deviation region in compressor performance. As the correlation between twist deviations on various sections gradually strengthens，the fluctuation degree of compressor performance under different operating conditions also increases. Though the difference between the first-order sensitivity indices of compressor performance to twist deviations gradually decreases，the ranking of compressor performance sensitivity to twist deviations on various sections remains unchanged.