Lamb波检测法及其在风机叶片结构健康监测中的应用
Damage Detection Based on Lamb Wave and Its Applications in the Structure Health Monitoring of Wind Turbine Blades
摘 要
叶片是风力发电机最为关键的部件之一,由于其所处自然环境相对恶劣,服役工况复杂,导致其易出现各种形式的损伤,且损伤后维护更换的费用高昂.为解决这一问题,提高风机叶片耐久性的最好方法是应用各种结构健康监测技术对叶片的状态进行实时监测.Lamb波检测方法以其独有的特性和优点,在风机叶片的结构健康监测研究中得到广泛应用.综述了Lamb波检测方法的基本原理及其在风机叶片结构健康监测中的应用概况,并探讨了今后需要关注的问题.
风机叶片
结构健康监测
Lamb wave
Wind turbine blades
SHM
Abstract
Renewable energy is one of the most efficient and effective ways to deal with global warming and energy crisis.Wind energy as one of such renewable energy alternatives has seen a substantial growth.Blades,one of the key components of wind turbine system,are very sensitive to damage.Specific environmental conditions together with large costs of their failure result in intensive research that aims to ensure their safe and long-time operation.An interesting approach used to increase the strength and durability of wind turbine blades comes from the application of various structural health monitoring (SHM) techniques.A very promising SHM technique used nowadays for the purpose is the technique based on the propagation of guided Lamb waves and their coupled interaction with damage.This paper details the damage detection method based on Lamb wave and the research status of structural health monitoring (SHM) for wind turbine blades based on Lamb wave,and finally proposes desirable developments for further advancement of this field.
中图分类号 TG115.28 DOI 10.11973/wsjc201509022
所属栏目 综述
基金项目
收稿日期 2015/3/30
修改稿日期
网络出版日期
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备注杜永峰(1962-),男,博士,教授,主要从事结构减震控制和结构健康监测方面的研究工作.
引用该论文: DU Yong-feng,HOU Bin,LI Wan-run,LIU Peng. Damage Detection Based on Lamb Wave and Its Applications in the Structure Health Monitoring of Wind Turbine Blades[J]. Nondestructive Testing, 2015, 37(9): 80～86
杜永峰,侯斌,李万润,刘鹏. Lamb波检测法及其在风机叶片结构健康监测中的应用[J]. 无损检测, 2015, 37(9): 80～86
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参考文献
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【6】陈雪峰,李继猛,程航,等.风力发电机状态监测和故障诊断技术的研究与进展[J].机械工程学报,2011(9):45-52.
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【29】OSEGUEDA R A,KREINOVICH V,NAZARIAN S,et al.Detection of cracks at rivet holes in thin plates using Lamb-wave scanning[C].NDE for Health Monitoring and Diagnostics.International Society for Optics and Photonics,2003:55-66.
【30】DIAMANTI K,SOUTIS C,HODGKINSON J M.Lamb waves for the non-destructive inspection of monolithic and sandwich composite beams[J].Composites Part A:Applied science and manufacturing,2005,36(2):189-195.
【31】HARRI K,GUILLAUME P,VANLANDUIT S.On-line damage detection on a wing panel using transmission of multisine ultrasonic waves[J].NDT & E International,2008,41(4):312-317.
【32】PARK H W,SOHN H,LAW K H,et al.Time reversal active sensing for health monitoring of a composite plate[J].Journal of Sound and Vibration,2007,302:50-66.
【33】WANG C H,ROSE J T,CHANG F K.A synthetic time-reversal imaging method for structural health monitoring[J].Smart Materials and Structures,2004,13:415-423.
【34】XU B,GIURGIUTIU V.Single mode tuning effects on Lamb wave time reversal with piezoelectric wafer active sensors for structural health monitoring[J].Journal of Nondestructive Evaluation ,2007,26:123-134.
【35】张海燕,吕东辉,袁瀚贝.超声波检测中的兰姆波层析成像[J].声学技术,2004,3(2):138-145.
【36】WANG D,YE L,LU Y,et al.A probabilistic diagnostic algorithm for identification of multiple notches using digital damage fingerprints (DDFs)[J].Journal of Intelligent Material Systems and Structures,2009,20(12):1439-1450.
【37】WANG D,YE L,LU Y,et al.A damage diagnostic imaging algorithm based on the quantitative comparison of Lamb wave signals[J].Smart Materials and Structures,2010,19(6):1-12.
【38】WANG D,YE L,SU Z,et al.Probabilistic damage identification based on correlation analysis using guided wave signals in aluminum plates[J].Structural Health Monitoring,2010,9(2):133-144.
【39】孙亚杰,袁慎芳,蔡建.基于超声相控阵的材料结构健康监测实验研究[J].宇航学报,2008,29(4):1393-1396.
【40】孙亚杰,袁慎芳,邱雷,等.基于 Lamb 波相控阵和图像增强方法的损伤监测[J].航空学报,2009,30(7):1325-1330.
【41】ZHAO X,GAO H,ZHANG G,et al.Active health monitoring of an aircraft wing with embedded piezoelectric sensor/ actuator network:I.Defect detection,localization and growth monitoring[J].Smart Materials and Structures,2007,16(4):1208-1217.
【42】ZHAO X,QIAN T,MEI G,et al,Active health monitoring of an aircraft wing with an embedded piezoelectric sensor/actuator network:II.Wireless approaches[J].Smart Materials and Structures,2007,16(4):1218-1225.
【43】LU Y,YE L,SU Z,et al.Artificial neural network (ANN)-based crack identification in aluminum plates with Lamb wave signals[J].Journal of Intelligent Material Systems and Structures ,2009,20:39-49.
【44】CHOU J H,GHABOUSSI J.Genetic algorithm in structural damage detection[J].Computers & Structures,2001,79(14):1335-1353.
【45】WANG X,FOLIENTE G,SU Z,et al.Multilevel decision fusion in a distributed active sensor network for structural damage detection[J].Structural Health Monitoring,2006,5(1):45-58.
【46】苗晓婷.基于导波的结构健康监测中特征提取技术与损伤识别方法的研究[D].上海:上海交通大学,2011.
【47】顾怡红.风力发电机叶片优化设计方法研究[D].杭州:浙江大学,2014.
【48】陈余岳,张锦南.玻璃钢/复合材料风力机叶片的开发[J].纤维复合材料,2007(4):371-374.
【49】李军向,薛忠民,王继辉,等.大型风轮叶片设计技术的现状与发展趋势[J].玻璃钢/复合材料,2008(1):48-52.
【50】李成良,王继辉,薛忠民,等.大型风机叶片材料的应用和发展[J].玻璃钢/复合材料,2008(4):328-336.
【51】SONG G,LI H,GAJIC B,et al.Wind turbine blade health monitoring with piezoceramic-based wireless sensor network[J].International Journal of Smart and Nano Materials,2013,4(3):150-166.
【52】FARINHOLT K M,TAYLOR S G,PARK G,et al.Full-scale fatigue tests of CX-100 wind turbine blades.Part I:testing[C].[S.l]:[s.n],2012:1236-1243.
【53】RAIUTIS R,JASINIEN E,ukauskas E.Ultrasonic NDT of wind turbine blades using guided waves[J].Ultrasound,2008,63(1):7-11.
【54】LIGHT-MARQUEZ A,SOBIN A,PARK G,et al.Structural damage identification in wind turbine blades using piezoelectric active sensing[J].Structural Dynamics and Renewable Energy,2011,3(2):55-65.
【55】MAKAYA K,BURNHAM K,CAMPOS C.Assessment of defects in wind and tidal turbine blades using guided waves[J].Smart Materials and Structures,2011,16(4):1211-1217.
【2】CWEA.2013年中国风电装机容量统计[R].中国可再生能源学会风能专业委员会,2014.
【3】CIANG C C,LEE J R,BANG H J.Structural health monitoring for a wind turbine system:a review of damage detection methods[J].Measurement Science and Technology,2008,19(12):1-20.
【4】Caithness Windfarm Information Forum.Accident statistics[EB/OL].[2014-12].http://www.caithness windfarms.co.uk/.
【5】YANG B,SUN D.Testing,inspecting and monitoring technologies for wind turbine blades:A survey[J].Renewable and Sustainable Energy Reviews,2013,22:515-526.
【6】陈雪峰,李继猛,程航,等.风力发电机状态监测和故障诊断技术的研究与进展[J].机械工程学报,2011(9):45-52.
【7】GHOSHAL A,SUNDARESAN M J,SCHULZ M J,et al.Structural health monitoring techniques for wind turbine blades[J].Journal of Wind Engineering and Industrial Aerodynamics,2000,85(3):309-324.
【8】解维华,汤珺,张博明,等.基于Lamb的金属薄板损伤主动监测技术研究[J].压电与声光,2008(3):349-352.
【9】RAGHAVAN A,CESNIK C E S.Review of guided-wave structural health monitoring[J].Shock and Vibration Digest,2007,39(2):91-116.
【10】袁慎芳.结构健康监控[M].北京:国防工业出版社,2007.
【11】SU Z,YE L,LU Y.Guided Lamb waves for identification of damage in composite structures:A review[J].Journal of Sound and Vibration,2006,295(3):753-780.
【12】KESSKER S S,SPEARING S M,SOUTIS C.Damage detection in composite materials using Lamb wave methods[J].Smart Materials and Structures,2002,11(2):269-276.
【13】LIU X,ZHOU C,JIANG Z.Damage localization in plate-like structure using built-in PZT sensor network[J].Smart Structures and Systems,2012,9(1):21-33.
【14】RAGHAVAN A,CESNIK C E S.Review of guided-wave structural health monitoring[J].Shock and Vibration Digest,2007,39(2):91-116.
【15】李传兵,廖昌荣.压电智能结构的研究进展[J].压电与声光,2002(1):42-46.
【16】KESSLER S S,SPEARING S M,SOUTIS C.Damage detection in composite materials using Lamb wave methods[J].Smart Materials and Structures,2002,11(2):269-278.
【17】李迎.复合材料无损检测中Lamb波的优化[J].声学技术,2011(3):232-236.
【18】YUAN S,XU Y,PENG G.New developments in structural health monitoring based on diagnostic Lamb wave[J].Journal of Material Science & Technology,2004,20(5):490-496.
【19】KESSKER S S,SPEARING S M,SOUTIS C.Optimization of lamb wave methods for damage detection in composite materials[J].Technology Laboratory for Advanced Composites Department of Aeronautics and Astronautics Massachusetts Institute of Technology,SHM-2001,2001.
【20】YU L,BAO J,GIURGIUTIU V.Signal processing techniques for damage detection with piezoelectric wafer active sensors and embedded ultrasonic structural radar[C].[S.l]:[s.n],2004:492-503.
【21】RIZZO P,SCALEA F L.Discrete wavelet transform to improve guided-wave-based health monitoring of tendons and cables[C].[S.l]:[s.n],2004:523-532.
【22】KERCEL S W,KLEIN M B,POUET B F.Wavelet and wavelet-packet analysis of Lamb wave signatures in laser ultrasonics[C].[S.l]:[s.n],2000:308-317.
【23】VALDES S H D,SOUTIS C.A structural health monitoring system for laminated composites[J].Proceedings of DETC,2001:2013-2021.
【24】PARK S,ANTON S R,KIM J K,et al.Instantaneous baseline structural damage detection using aminiaturized piezoelectric guided waves system[J].KSCE Journal of Civil Engineering,2010,14(6):889-895.
【25】TAYLOR S G,JEONG H,JANG J K,et al.Full-scale fatigue tests of CX-100 wind turbine blades.Part II:analysis[C].SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring.International Society for Optics and Photonics,2012.
【26】MAHADEV P S,VINU K R,BALASUBRAMANIAM K,et al.Imaging of defects in composite structures using guided ultrasonics[C].[S.l]:[s.n],2003:700-703.
【27】PROSSER W H,SEALE M D,SMITH B T.Time–frequency analysis of the dispersion of lamb modes[J].Journal of the Acoustical Society of America,1999,105 (5) :2669-2676.
【28】LEMISTRE M,BALAGEAS D.Structural health monitoring system based on diffracted lamb wave analysis by multiresolution processing[J].Smart Materials and Structures,2001,10(3):504-511.
【29】OSEGUEDA R A,KREINOVICH V,NAZARIAN S,et al.Detection of cracks at rivet holes in thin plates using Lamb-wave scanning[C].NDE for Health Monitoring and Diagnostics.International Society for Optics and Photonics,2003:55-66.
【30】DIAMANTI K,SOUTIS C,HODGKINSON J M.Lamb waves for the non-destructive inspection of monolithic and sandwich composite beams[J].Composites Part A:Applied science and manufacturing,2005,36(2):189-195.
【31】HARRI K,GUILLAUME P,VANLANDUIT S.On-line damage detection on a wing panel using transmission of multisine ultrasonic waves[J].NDT & E International,2008,41(4):312-317.
【32】PARK H W,SOHN H,LAW K H,et al.Time reversal active sensing for health monitoring of a composite plate[J].Journal of Sound and Vibration,2007,302:50-66.
【33】WANG C H,ROSE J T,CHANG F K.A synthetic time-reversal imaging method for structural health monitoring[J].Smart Materials and Structures,2004,13:415-423.
【34】XU B,GIURGIUTIU V.Single mode tuning effects on Lamb wave time reversal with piezoelectric wafer active sensors for structural health monitoring[J].Journal of Nondestructive Evaluation ,2007,26:123-134.
【35】张海燕,吕东辉,袁瀚贝.超声波检测中的兰姆波层析成像[J].声学技术,2004,3(2):138-145.
【36】WANG D,YE L,LU Y,et al.A probabilistic diagnostic algorithm for identification of multiple notches using digital damage fingerprints (DDFs)[J].Journal of Intelligent Material Systems and Structures,2009,20(12):1439-1450.
【37】WANG D,YE L,LU Y,et al.A damage diagnostic imaging algorithm based on the quantitative comparison of Lamb wave signals[J].Smart Materials and Structures,2010,19(6):1-12.
【38】WANG D,YE L,SU Z,et al.Probabilistic damage identification based on correlation analysis using guided wave signals in aluminum plates[J].Structural Health Monitoring,2010,9(2):133-144.
【39】孙亚杰,袁慎芳,蔡建.基于超声相控阵的材料结构健康监测实验研究[J].宇航学报,2008,29(4):1393-1396.
【40】孙亚杰,袁慎芳,邱雷,等.基于 Lamb 波相控阵和图像增强方法的损伤监测[J].航空学报,2009,30(7):1325-1330.
【41】ZHAO X,GAO H,ZHANG G,et al.Active health monitoring of an aircraft wing with embedded piezoelectric sensor/ actuator network:I.Defect detection,localization and growth monitoring[J].Smart Materials and Structures,2007,16(4):1208-1217.
【42】ZHAO X,QIAN T,MEI G,et al,Active health monitoring of an aircraft wing with an embedded piezoelectric sensor/actuator network:II.Wireless approaches[J].Smart Materials and Structures,2007,16(4):1218-1225.
【43】LU Y,YE L,SU Z,et al.Artificial neural network (ANN)-based crack identification in aluminum plates with Lamb wave signals[J].Journal of Intelligent Material Systems and Structures ,2009,20:39-49.
【44】CHOU J H,GHABOUSSI J.Genetic algorithm in structural damage detection[J].Computers & Structures,2001,79(14):1335-1353.
【45】WANG X,FOLIENTE G,SU Z,et al.Multilevel decision fusion in a distributed active sensor network for structural damage detection[J].Structural Health Monitoring,2006,5(1):45-58.
【46】苗晓婷.基于导波的结构健康监测中特征提取技术与损伤识别方法的研究[D].上海:上海交通大学,2011.
【47】顾怡红.风力发电机叶片优化设计方法研究[D].杭州:浙江大学,2014.
【48】陈余岳,张锦南.玻璃钢/复合材料风力机叶片的开发[J].纤维复合材料,2007(4):371-374.
【49】李军向,薛忠民,王继辉,等.大型风轮叶片设计技术的现状与发展趋势[J].玻璃钢/复合材料,2008(1):48-52.
【50】李成良,王继辉,薛忠民,等.大型风机叶片材料的应用和发展[J].玻璃钢/复合材料,2008(4):328-336.
【51】SONG G,LI H,GAJIC B,et al.Wind turbine blade health monitoring with piezoceramic-based wireless sensor network[J].International Journal of Smart and Nano Materials,2013,4(3):150-166.
【52】FARINHOLT K M,TAYLOR S G,PARK G,et al.Full-scale fatigue tests of CX-100 wind turbine blades.Part I:testing[C].[S.l]:[s.n],2012:1236-1243.
【53】RAIUTIS R,JASINIEN E,ukauskas E.Ultrasonic NDT of wind turbine blades using guided waves[J].Ultrasound,2008,63(1):7-11.
【54】LIGHT-MARQUEZ A,SOBIN A,PARK G,et al.Structural damage identification in wind turbine blades using piezoelectric active sensing[J].Structural Dynamics and Renewable Energy,2011,3(2):55-65.
【55】MAKAYA K,BURNHAM K,CAMPOS C.Assessment of defects in wind and tidal turbine blades using guided waves[J].Smart Materials and Structures,2011,16(4):1211-1217.
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