涡轮转子叶片高周振动疲劳性能试验技术研究

林桂瑶, 沙云东, 丁谓, 骆丽

装备环境工程 ›› 2026, Vol. 23 ›› Issue (9) : 82-92.

PDF(3235 KB)
PDF(3235 KB)
装备环境工程 ›› 2026, Vol. 23 ›› Issue (9) : 82-92. DOI: 10.7643/issn.1672-9242.2026.09.009
专刊——航空装备结构动力学

涡轮转子叶片高周振动疲劳性能试验技术研究

  • 林桂瑶, 沙云东*, 丁谓, 骆丽
作者信息 +

Test Technology for High-cycle Vibration Fatigue Performance of Turbine Rotor Blades

  • LIN Guiyao, SHA Yundong*, DING Wei, LUO Li
Author information +
文章历史 +

摘要

目的 研究某型航空发动机涡轮叶片在二阶固有频率(一扭振型)下的振动疲劳失效问题,开展二阶模态下的振动特性分析与试验方法研究。方法 通过扫频试验识别叶片共振频率,基于有限元法建立叶片模型进行模态分析,获取叶片多阶模态频率与振型,并与试验结果校核,确定叶片二阶固有频率。通过扭力梯度试验,确定夹持预紧力对叶片频率的影响规律。依据目标振型的振动位移方向,优化激光位移传感器的安装方位。采用叶片动应力与叶尖振动位移同步测试技术,实现振动应力标定。结果 扫频试验测得叶片前两阶固有频率与有限元仿真结果吻合良好,仿真进一步提供了前六阶模态频率及振型,叶片所受振动应力(σ)与叶片自振频率(f)、叶片振幅(a)之间服从线性关系。结论 该叶片理论、实测振动特性一致,得到了叶片二阶固有频率(一扭振型)下所受应力与叶片自振频率、叶片振幅之间的关系,表明此试验方法有效,可为该叶片提供疲劳数据支撑。

Abstract

The work aims to investigate the vibration fatigue failure of turbine blades of a certain aero-engine under the second-order natural frequency (first torsional mode), and conduct investigations on vibration characteristic analysis and test methodology under the second-order modal condition. Resonance frequencies of the blade were identified via frequency sweep tests. A finite element model of the blade was established for modal analysis to acquire multi-order modal frequencies and mode shapes, whose results were verified against experimental data to determine the second-order natural frequency of the blade. The influence law of clamping preload on blade frequency was obtained through torsion gradient tests. The mounting orientation of laser displacement sensors was optimized according to the vibration displacement direction of the target mode shape. Synchronous measurement of blade dynamic stress and blade tip vibration displacement was adopted to realize vibration stress calibration. The first two natural frequencies measured by frequency sweep tests were in good agreement with finite element simulation results; the simulation further yielded the first six orders of modal frequencies and corresponding mode shapes. The vibration stress (σ) of the blade presents a linear correlation with its natural frequency (f) and vibration amplitude (a). The theoretically calculated and experimentally measured vibration characteristics of the blade are consistent. The quantitative relationship between vibration stress under the second-order natural frequency (first torsional mode) and the blade's natural frequency as well as amplitude is established. The proposed test method is verified effective and can provide fundamental fatigue test data for the researched turbine blade.

关键词

涡轮转子叶片 / 振动特性 / 高周疲劳 / 振动应力标定

Key words

turbine rotor blade / vibration characteristics / high-cycle fatigue / vibration stress calibration

引用本文

导出引用
林桂瑶, 沙云东, 丁谓, 骆丽. 涡轮转子叶片高周振动疲劳性能试验技术研究[J]. 装备环境工程. 2026, 23(9): 82-92 https://doi.org/10.7643/issn.1672-9242.2026.09.009
LIN Guiyao, SHA Yundong, DING Wei, LUO Li. Test Technology for High-cycle Vibration Fatigue Performance of Turbine Rotor Blades[J]. Equipment Environmental Engineering. 2026, 23(9): 82-92 https://doi.org/10.7643/issn.1672-9242.2026.09.009
中图分类号: V216   

参考文献

[1] 王妍, 毕俊喜, 王柳璎, 等. 基于改进M-H模型的涡轮叶片复合疲劳寿命预测研究[J]. 热能动力工程, 2025, 40(2):50-57.
WANG Y, BI J X, WANG L Y, et al.Research on Prediction of Composite Fatigue Life of Turbine Blades Based on Improved M-H Model[J]. Journal of Engineering for Thermal Energy and Power, 2025, 40(2):50-57.
[2] MARÍA G, CARLOS J G H D, PILAR M G V, et al. Failure Study of an Aircraft Engine High Pressure Turbine (HPT) First Stage Blade[J]. Engineering Failure Analysis, 2023, 149.
[3] 李远宾. 航空发动机叶片损伤及其修复技术分析[J]. 内燃机与配件, 2025(12):108-110.
LI Y B.Analysis of Damage and Repair Techniques for Aircraft Engine Blades[J]. Internal Combustion Engine & Parts, 2025(12):108-110.
[4] 袁巍, 陈国智, 张红晓, 等. 带冠预扭涡轮叶片模态分析及动应力测试验证[J]. 航空动力学报, 2020, 35(10):2186-2194.
YUAN W, CHEN G Z, ZHANG H X, et al.Modal Analysis and Dynamic Stress Test Verification of Shrouded Pretwist Turbine Blade[J]. Journal of Aerospace Power, 2020, 35(10):2186-2194.
[5] KWON H J, KIM H, CHO H, et al.Failure and Risk Analysis of Aeroengine Turbine Rotor Blade Fractured Due to Arch Binding[J]. Journal of Failure Analysis and Prevention, 2024, 24(6):2945-2958.
[6] 陈博, 朱剑寒, 鲁辉军. 航空发动机涡轮叶片高周疲劳裂纹故障分析与思考[J]. 燃气涡轮试验与研究, 2020, 33(3):33-36.
CHEN B, ZHU J H, LU H J.Analysis and Consideration for Turbine Blade High-Cycle Fatigue Crack Failure of Aero-Engine[J]. Gas Turbine Experiment and Research, 2020, 33(3):33-36.
[7] 马雄, 李翠, 杨飘. 航空发动机涡轮叶片疲劳寿命预测和可靠性分析[J]. 科学技术创新, 2024(2):209-212.
MA X, LI C, YANG P.Aero-Engine Turbine Blade Fatigue Life Prediction and Reliability Analysis[J]. Scientific and Technological Innovation, 2024(2):209-212.
[8] GEORGE T J, SEIDT J, SHEN M H H, et al. Development of a Novel Vibration-Based Fatigue Testing Methodology[J]. International Journal of Fatigue, 2004, 26(5):477-486.
[9] CAVACECE M, VALENTINI P P, VITA L.An Investigation on Fatigue Failure of Turbine Blades of Aircraft Engines by High Cycles Fatigue Test[J]. International Journal of Computer Applications in Technology, 2007, 28(4):275-280.
[10] WITEK L.Experimental Crack Propagation and Failure Analysis of the First Stage Compressor Blade Subjected to Vibration[J]. Engineering Failure Analysis, 2009, 16(7):2163-2170.
[11] PROCHAZKAV P.Methods and Measuring Systems for Calibration of Non-Contact Vibrodiagnostics Systems[C]//Instrumentation & Measurement Technology Conference.[s. l.]:IEEE, 2017.
[12] 张欢, 廖明夫. 压气机叶片动应力测量标定试验方法[J]. 航空动力学报, 2022, 37(6):1217-1224.
ZHANG H, LIAO M F.Method of Dynamic Stress Measurement Calibration Tests for Compressor Blades[J]. Journal of Aerospace Power, 2022, 37(6):1217-1224.
[13] LIGOT J, HOFFAIT S, DE CAZENOVE J, et al.Stress Calibration Methodology of Stator Blades Using Experimental SAFE Diagram[C]//ASME Turbo Expo 2018:Turbomachinery Technical Conference and Exposition. Oslo:ASME, 2018.
[14] KHAN R, KAMILI O M, TOGERE NAGABHUSHANA S, et al.Correlation between FEA and Testing for HCF- Safety Assessment of an Aero Engine Turbine Rotor Blade[C]//ASME 2013 Gas Turbine India Conference. Bangalore:ASME, 2014.
[15] 张部声, 姚瑾, 王苏波, 等. 发动机叶片振动疲劳试验疲劳应力标定方法[J]. 环境技术, 2021, 39(6):111-114.
ZHANG B S, YAO J, WANG S B, et al.Fatigue Stress Calibration Method for Vibration Fatigue Test of Engine Blade[J]. Environmental Technology, 2021, 39(6):111-114.
[16] 王奉明, 贺进, 朱俊强. 高转速小尺寸涡轮叶片动应力测量方法与应用[J]. 推进技术, 2018, 39(6):1406-1411.
WANG F M, HE J, ZHU J Q.Measurement Method and It's Application on Dynamical Stress of a High-Speed Small-Size Turbine Blades[J]. Journal of Propulsion Technology, 2018, 39(6):1406-1411.
[17] 张再德, 文华. 涡轴发动机燃气涡轮叶片动应力测试技术研究及验证[J]. 燃气涡轮试验与研究, 2019, 32(3):8-12.
ZHANG Z D, WEN H.Research and Verification of Dynamic Stress Measurement Technology for Turboshaft Engine Gas Turbine Blade[J]. Gas Turbine Experiment and Research, 2019, 32(3):8-12.
[18] HUANG X B, WANG B, HUANG Z W, et al.A Theoretical Model for a Low-Frequency Two-Stage Hybrid Vibration Isolator with a Nonlinear Energy Sink and a Negative Stiffness Spring[J]. Applied Mathematical Modelling, 2025, 142:115948.
[19] HUANG X B.Exploiting Multi-Stiffness Combination Inspired Absorbers for Simultaneous Energy Harvesting and Vibration Mitigation[J]. Applied Energy, 2024, 364:123124.
[20] HUANG X B, YANG B T.Towards Novel Energy Shunt Inspired Vibration Suppression Techniques:Principles, Designs and Applications[J]. Mechanical Systems and Signal Processing, 2023, 182:109496.
[21] ZHANG X, HUANG X B, WANG B.A Quad-Stable Nonlinear Piezoelectric Energy Harvester with Piecewise Stiffness for Broadband Energy Harvesting[J]. Nonlinear Dynamics, 2024, 112(22):19633-19652.
[22] FANG S T, WANG X Y, ZHANG X, et al.High Output, Lightweight and Small-Scale Rotational Piezoelectric Energy Harvester Utilizing Internal Impact Effect[J]. Energy Conversion and Management, 2024, 322:119180.
[23] 王昭晗, 陈永辉, 杭超, 等. 基于振动台的超高周振动疲劳试验方法研究[J]. 工程与试验, 2024, 64(2):57-60.
WANG Z H, CHEN Y H, HANG C, et al.Research on very High Cycle Vibration Fatigue Test Method Based on Vibration Table[J]. Engineering & Test, 2024, 64(2):57-60.
[24] 李全通, 刘青川, 申景生, 等. TC17钛合金超高周弯曲振动疲劳试验[J]. 航空动力学报, 2012, 27(3):617-622.
LI Q T, LIU Q C, SHEN J S, et al.Experiment on Ultra-High Cycle Bending Vibration Fatigue of Titanium Alloy TC17[J]. Journal of Aerospace Power, 2012, 27(3):617-622.

PDF(3235 KB)

Accesses

Citation

Detail

段落导航
相关文章

/

〈 〉