Manufactured blades are inevitably different from their design intent,which leads to a deviation of the performance from the intended value.To quantify the associated performance uncertainty,many approaches have been developed.The traditional Monte Carlo method based on a Computational Fluid Dynamics solver (MC-CFD) for a three-dimensional compressor is pro-hibitively expensive.Existing alternatives to the MC-CFD,such as surrogate models and second-order derivatives based on the adjoint method,can greatly reduce the computational cost.Neverthe-less,they will encounter 'the curse of dimensionality'except for the linear model based on the adjoint gradient (called MC-adj-linear).However,the MC-adj-linear model neglects the nonlinearity of the performance function.In this work,an improved method is proposed to circumvent the low-accuracy problem of the MC-adj-linear without incurring the high cost of other alternative models.The method is applied to the study of the aerodynamic performance of an annular transonic com-pressor cascade,subject to prescribed geometric variability with industrial relevance.It is found that the proposed method achieves a significant accuracy improvement over the MC-adj-linear with low computational cost,showing the great potential for fast uncertainty quantification.

Qian ZHANG;Shenren XU;Xianjun YU;Jiaxin LIU;Dingxi WANG;Xiuquan HUANG

School of Power and Energy,Northwestern Polytechnical University,Xi'an 710072,China;Key Laboratory of Aeroengine Internal Flows,Northwestern Polytechnical University,Xi'an 710129,China;School of Energy and Power Engineering,Beihang University,Beijing 100083,China;Research Institute of Aeroengine,Beihang University,Beijing 100083,China

中国航空学报（英文版）

[1]Qian ZHANG;Shenren XU;Xianjun YU;Jiaxin LIU;Dingxi WANG;Xiuquan HUANG-.Nonlinear uncertainty quantification of the impact of geometric variability on compressor performance using an adjoint method)[J].中国航空学报（英文版）,2022(02):17-21

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