Monitoring the Structural Integrity of Wind Turbine Blades Subcomponents using Advanced Signal Processing Techniques

被引：0
|
作者：
Zarouchas, D. S. [1 ]
Van Hemelrijck, D. [1 ]
机构：
[1] Free Univ Brussels, Fac Eng, Dept MEMC, B-1050 Brussels, Belgium
来源：
STRUCTURAL HEALTH MONITORING 2013, VOLS 1 AND 2 | 2013年
关键词：
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
This paper presents a methodology, based on advanced signal processing, to monitor the damage evolution and to identify the structural failure modes in two composite I-beams. The composite I-beams with different geometrical configuration were subjected to cantilever tests. The I-beams represented the shear web-to-the spar caps connection of a wind rotor blade. Acoustic Emission technique was used to monitor the cantilever tests while Digital Image Correlation technique measured the displacement fields of the bond-lines and shear webs. The aim of the exercise was to investigate the influence of the geometry to the structural failure pattern, failure in the bond-line that connects the shear web to the spar caps and/or buckling of the shear web, and to monitor the failure process.
引用
收藏
页码：2448 / 2455
页数：8
相关论文
共 50 条
  • [1] Health Monitoring of Wind Turbine Blades through Vibration Signal Using Advanced Signal Processing Techniques
    Sahoo, Sudarsan
    Kushwah, Kuldeep
    Sunaniya, Arun Kumar
    [J]. 2020 ADVANCED COMMUNICATION TECHNOLOGIES AND SIGNAL PROCESSING (IEEE ACTS), 2020,
  • [2] Structural health monitoring techniques for wind turbine blades
    Ghoshal, A
    Sundaresan, MJ
    Schulz, MJ
    Pai, PF
    [J]. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2000, 85 (03) : 309 - 324
  • [3] Passive Damage Monitoring of Wind Turbine Rotor Blades Using Cyclic Signal Processing
    White, J. R.
    [J]. STRUCTURAL HEALTH MONITORING 2011: CONDITION-BASED MAINTENANCE AND INTELLIGENT STRUCTURES, VOL 2, 2013, : 1648 - 1655
  • [4] Advanced Signal Processing Algorithms in Structural Integrity Monitoring
    Dib, Gerges
    Karpenko, Oleksii
    Haq, Mahmoodul
    Udpa, Lalita
    Udpa, Satish
    [J]. STRUCTURAL INTEGRITY, 2014, 86 : 427 - 439
  • [5] Structural Health Monitoring of Wind Turbine Blades
    Barkley, Walter C.
    Jacobs, Laura D.
    Rutherford, Mandy C.
    [J]. ES2009: PROCEEDINGS OF THE ASME 3RD INTERNATIONAL CONFERENCE ON ENERGY SUSTAINABILITY, VOL 2, 2009, : 1047 - 1058
  • [6] On Structural Health Monitoring of Wind Turbine Blades
    Skov, Jonas Falk
    Ulriksen, Martin Dalgaard
    Dickow, Kristoffer Ahrens
    Kirkegaard, Poul Henning
    Damkilde, Lars
    [J]. DAMAGE ASSESSMENT OF STRUCTURES X, PTS 1 AND 2, 2013, 569-570 : 628 - 635
  • [7] Structural Integrity Monitoring of Wind Turbine Composite Blades with the Use of NDE and SHM Approach
    Dragan, K.
    Mcgugan, M.
    Klimaszewski, S.
    Uhl, T.
    Sorensen, B. F.
    Borum, K. K.
    Martyniuk, K.
    [J]. STRUCTURAL HEALTH MONITORING 2010, 2010, : 408 - 413
  • [8] Review of structural health and cure monitoring techniques for large wind turbine blades
    Schubel, P. J.
    Crossley, R. J.
    Boateng, E. K. G.
    Hutchinson, J. R.
    [J]. RENEWABLE ENERGY, 2013, 51 : 113 - 123
  • [9] Using Diffused Fields for Monitoring the Structural Health of Wind Turbine Blades
    Tippmann, J. D.
    di Scalea, F. L.
    [J]. STRUCTURAL HEALTH MONITORING 2013, VOLS 1 AND 2, 2013, : 2369 - 2375
  • [10] Acoustic Emission for Structural Integrity Assessment of Wind Turbine Blades
    Tsopelas, Nikolaos K.
    Papasalouros, Dimitrios G.
    Anastasopoulos, Athanasios A.
    Kourousis, Dimitrios A.
    Dong, Jason W.
    [J]. ADVANCES IN ACOUSTIC EMISSION TECHNOLOGY, 2015, 158 : 369 - 382
12345