| [1] BERGNER J, KABLITZ S, HENNECKE D K. Influ-ence of sweep on the 3D shock structure in an axial transonic compressor[C]//ASME Turbo Expo 2005: Power for Land, Sea, and Air. Nevada: ASME, 2005: 343-352.[2] 李萍. 叶片加工误差及数据传递对压气机气动性能的影响[D]. 西安: 西北工业大学, 2015: 1-8. LI P. Effect of blade machining error and data trans-fer on compressor aerodynamic performance[D]. Xi’an: Northwestern Polytechnical University, 2015: 1-8 (in Chinese).[3] 罗佳奇, 朱亚路, 刘峰. 基于伴随方法的叶片加工偏差气动灵敏度分析[J]. 工程热物理学报, 2017, 38(03): 498-503.LUO J T, ZHU Y L, LIU F. Aerodynamic sensitivity analysis for manufacturing variations of a turbine blade by an adjoint method[J]. Journal of Engineering Thermophysics, 2017, 38(03): 498-503 (in Chinese).[4] WU C Y. Arbitrary surface flank milling and flank SAM in the design and manufacturing of jet engine fan and compressor airfoils[C]//ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. Copenhagen: ASME, 2012: 21-30.[5] 但玥, 王浩浩, 高丽敏, 等. 扭转度误差对跨声速压气机叶片性能的影响[J]. 推进技术, 2023, 44(10): 89-96.DAN Y, WANG H H, GAO L M, et al. Effects of twist angle error on transonic compressor blades perfor-mance[J]. Journal of Propulsion Technology, 2023, 44(10): 89-96 (in Chinese).[6] BAMMERT K, SANDSTEDE H. Influences of manu-facturing tolerances and surface roughness of blades on the performance of turbines[J]. Journal of Engi-neering for Gas Turbines and Power, 1976, 98(1): 29-36.[7] 张国臣, 刘波, 曹志远. 静子叶栅安装角异常非定常流场数值研究[J]. 推进技术, 2014, 35(02): 187-194.ZHANG G C, LIU B, CAO Z Y. Numerical analysis of unsteady flow for stagger angle of stator cascade adjusting abnormally[J]. Journal of Propulsion Tech-nology, 2014, 35(02): 187-194 (in Chinese).[8] ZHANG G, LIU B, YANG X, et al. Numerical simula-tion of unsteady flow field on abnormal stagger angle of cascade[J]. Journal of Aerospace Power, 2014, 29(10): 2450-2456.[9] 叶学民, 李新颖, 李春曦. 第一级叶轮单动叶安装角异常对动叶可调轴流风机性能的影响[J]. 中国电机工程学报, 2014, 34(14): 2297-2306.YE X M, LI X Y, LI C X. Effect of the first-stage im-peller with single abnormal blade on the performance of a variable pitch axial fan[J]. Proceedings of the CSEE, 2014, 34(14):2297-2306 (in Chinese).[10] 高丽敏, 蔡宇桐, 曾瑞慧, 等. 叶片加工误差对压气机叶栅气动性能的影响[J]. 推进技术, 2017, 38(03): 525-531.GAO L M, CAI Y T, ZENG R H, et al. Effects of blade machining error on compressor cascade aero-dynamic performance[J]. Journal of Propulsion Technology, 2017, 38(03): 525-531 (in Chinese).[11] DALBANJAN M S, SARANGI N. Sensitivity study of stagger angle on the aerodynamic performance of transonic axial flow compressors[C]//Proceedings of the National Aerospace Propulsion Conference: Select Proceedings of NAPC 2020. Singapore: Springer Na-ture Singapore, 2022: 3-14.[12] LANGE A, VOIGT M, VOGELER K, et al. Probabil-istic CFD simulation of a high-pressure compressor stage taking manufacturing variability into ac-count[C]//ASME Turbo Expo 2010: Power for Land, Sea, and Air. Glasgow: ASME, 2010: 617-628.[13] 李玉, 楚武利, 姬田园. 叶片安装角偏差对动叶性能影响的不确定性研究[J]. 西安交通大学学报, 57(04): 49-59.LI Y, CHU W L, JI T Y. Uncertainty research of ef-fects of blade stagger angle deviation on the perfor-mance of rotor[J]. Journal of Xi’an Jiaotong Universi-ty, 57(04): 49-59 (in Chinese).[14] GUO Z, CHU W, ZHANG H. A data driven nonintru-sive polynomial chaos for performance impact of high subsonic compressor cascades with stagger angle and profile errors[J] Aerospace Science and Technol-ogy, 2022, 129: 107802.[15] LANGE A, VOIGT M, VOGELER K, et al. Impact of manufacturing variability on multistage high-pressure compressor performance[J]. Journal of Engineering for Gas Turbines and Power, 2012, 134(11): 112601. [16] 李晓丽, 楚武利. 安装角变化对多级轴流压缩机性能影响的分析[J]. 风机技术, 2008(5): 27-29.LI X L, CHU W L. Analysis on the influence of vari-able installation angle on performance of multi-stage axial-flow compressor[J]. Chinese Journal of Tur-bomachinery, 2008(5): 27-29 (in Chinese).[17] LANGE A, VOIGT M, VOGELER K, et al. Impact of manufacturing variability and nonaxisymmetry on high-pressure compressor stage performance[J]. Jour-nal of Engineering for Gas Turbines and Power, 2012, 134(3): 032504. [18] 姬田园, 楚武利, 张皓光, 等. 真实安装角偏差影响压气机性能的不确定性量化[J/OL]. 航空动力学报, (2023-03-01) [2023-11-28]. https://doi.org/10.13224/j.cnki.jasp.20220858.JI T Y, CHU W L, ZHANG H G, et al. Uncertainty quantification of real stagger angle deviation affecting compressor performance[J/OL]. Journal of Aerospace Power, (2023-03-01) [2023-11-28]. https://doi.org/10.13224/j.cnki.jasp.20220858.[19] 刘佳鑫, 于贤君, 孟德君, 等. 高压压气机出口级叶型加工偏差特征及其影响[J]. 航空学报, 2021, 42(02): 348-364. LIU J X, YU X J, MENG D J, et al. State and effect of manufacture deviations of compressor blade in high-pressure compressor outlet stage[J]. Acta Aero-nautica et Astronautica Sinica, 2021, 42(02): 348-364 (in Chinese).[20] WANG J, WANG B, YANG H, et al. Compressor ge-ometric uncertainty quantification at conditions from near choke to near stall[J]. Chinese Journal of Aero-nautics, 2023, 36(3): 16-29.[21] 姬田园, 楚武利, 戴雨晨, 等. 叶顶间隙偏差对叶片气动性能影响的不确定性研究[J]. 推进技术, 2022, 43(10): 134-146.JI T Y, CHU W L, DAI Y C, et al. Uncertainty re-search of effects of blade tip clearance deviation on blade aerodynamic performance[J]. Journal of Pro-pulsion Technology, 2022, 43(10): 134-146 (in Chi-nese).[22] 郑似玉, 滕金芳, 羌晓青. 叶片加工超差对高压压气机性能影响和敏感性分析[J]. 机械工程学报, 2018, 54(02): 216-224.ZHENG S Y, TENG J F, QIANG X Q. Sensitivity analysis of manufacturing variability on high-pressure compressor performance[J]. Journal of Mechanical Engineering, 2018, 54(02): 216-224 (in Chinese).[23] WANG W, CHU W, ZHANG H, et al. Experimental and numerical study of tip injection in a subsonic ax-ial flow compressor[J]. Chinese Journal of Aero-nautics, 2017, 30(3): 907-917.[24] CHI Z, CHU W, ZHANG Z, et al. Research on the stability enhancement mechanism of multi-parameter interaction of casing treatment in an axial compressor rotor[J]. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2022, 236(12): 2405-2419.[25] CHI Z, CHU W, ZHANG Z, et al. Stall margin evalua-tion and data mining based multi-objective optimiza-tion design of casing treatment for an axial compres-sor rotor[J]. Physics of Fluids, 2023, 35(8): 086117.[26] CHI Z, CHU W, ZHANG H, et al. Unsteady effects of casing treatment on tip flow structures in a subsonic compressor rotor[C]//ASME Turbo Expo 2022: Tur-bomachinery Technical Conference and Exposition. Rotterdam: ASME, 2022: V10AT29A027.[27] ZHANG H, LIU W, WANG E, et al. Mechanism in-vestigation of enhancing the stability of an axial flow rotor by blade angle slots[J]. Proceedings of the Insti-tution of Mechanical Engi-neers, Part G: Journal of Aerospace Engineering, 2019, 233(13): 4750-4764.[28] ZHANG H, LI Q, DONG F, et al. Mechanism of af-fecting the performance and stability of an axial flow compressor with inlet distortion[J]. Journal of Ther-mal Science, 2021, 30(4): 1406-1420.[29] GUO Z, CHU W, ZHANG H. A data-driven non-intrusive polynomial chaos for performance impact of high subsonic compressor cascades with stagger angle and profile errors[J]. Aerospace Science and Technology, 2022, 129: 107802.[30] SCHLUTER L, VOIGT P, VOIGT M, et al. The vali-dation of a parametric leading edge model for proba-bilistic CFD analyses of post-service compressor air-foils[C]//ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition. Rotterdam: ASME, 2022: V10DT34A003.[31] LIU B, LIU J, YU X, et al. A novel decomposition method for manufacture variations and the sensitivity analysis on compressor blades[J]. Aerospace, 2022, 9(10): 542.[32] WANG J, WANG B, YAN H, et al. Compressor geo-metric uncertainty quantification under conditions from near choke to near stall[J]. Chinese Journal of Aeronautics, 2023, 36(3): 16-29.[33] 姬田园, 楚武利, 郭正涛, 等. 一种叶片截面几何特征参数的获取方法: CN115168986A[P]. 2022-10-11.JI T Y, CHU W L, GUO Z T, et al. A method for ob-taining geometric feature parameters of blade section: China, CN115168986A[P]. 2022-10-11 (in Chinese).[34] ROSENBLATT M. Remarks on some nonparametric estimates of a density function[J]. The Annals of Mathematical Statistics, 1956, 27(3): 832-837.[35] PROTS A, SCHLUTER L, VOIGT M, et al. Impact of epistemic uncertainty on performance parameters of compressor blades[C]//ASME Turbo Expo 2022: Tur-bomachinery Technical Conference and Exposition. Rotterdam: ASME, 2022: V10DT34A015.[36] 赵轲, 高正红, 黄江涛, 等. 基于PCE方法的翼型不确定性分析及稳健设计[J]. 力学学报, 2014, 46(01): 10-19. ZHAO K, GAO Z H, HUANG J T, et al. Uncertainty quantification and robust design of airfoil based on polynomial chaos technique[J]. Chinese Journal of Theoretical and Applied Mechanics, 2014, 46(01): 10-19. [37] GOPINAYHRAO N, BAGSHAW D, MABLAT C. Non-deterministic CFD simulation of a transonic compressor rotor[C]//ASME Turbo Expo 2009: Power for Land, Sea, and Air. Orlando: ASME, 2009: 1125-1134. [38] CHU W, JI T, CHEN X, et al. Mechanism analysis and uncertainty quantification of blade thickness de-viation on rotor performance[J]. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 2023, 237(6): 1188-1202.[39] WIENER N. The homogeneous chaos[J]. American Journal of Mathematics, 1938, 60(4): 897-936.[40] XIA Z, LUO J, LIU F. Performance impact of flow and geometric variations for a turbine blade using an adaptive NIPC method[J]. Aerospace Science and Technology, 2019, 90: 127-139.[41] XIU D, KARNIADAKIS G E. Modelling uncertainty in flow simulations via generalized polynomial cha-os[J]. Journal of Computational Physics, 2003, 187(1): 137-167.[42] AHLFELD R, BELKOUCHI B, MONTOMOLI F. SAMBA: sparse approximation of moment-based ar-bitrary polynomial chaos[J]. Journal of Computation-al Physics, 2016, 320: 1-16.[43] 王浩浩, 高丽敏, 杨光, 等. 一种鲁棒的数据驱动不确定性量化方法及在压气机叶栅中的应用[J]. 航空学报, 2023, 44(17): 127-139.WANG H H, GAO L M, YANG G, et al. Robust data-driven uncertainty quantification method and its ap-plication in compressor cascade[J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(17): 127-139 (in Chinese).[44] GUO Z, CHU W. Stochastic aerodynamic analysis for compressor blades with manufacturing variability based on a mathematical dimensionality reduction method[J]. Proceedings of the Institution of Mechani-cal Engineers, Part C: Journal of Mechanical Engi-neering Science, 2022, 236(10): 5719-5735.[45] OLADYSHKIN S, NOWAK W. Data-driven uncer-tainty quantification using the arbitrary polynomial chaos expansion[J]. Reliability Engineering & System Safety, 2012, 106: 179-190.[46] ISUKAPALLI S S, ROY A, GEORGOPOULOS P G. Stochastic response surface methods (SRSMs) for un-certainty propagation: application to environmental and biological systems[J]. Risk analysis, 1998, 18(3): 351-363.[47] SOBOL I M. Global sensitivity indices for nonlinear mathematical models and their Monte Carlo esti-mates[J]. Mathematics and Computers in Simulation, 2001, 55(1-3): 271-280. |
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