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Bi-axial Neutral Axis Tracking for Crack Detection in Wind Turbine Towers

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This work concentrates on Structural Health Monitoring (SHM) of a wind turbine tower. The paper investigates the use of a decision level data fusion based on bi-axial tracking of change in the neutral axis (NA) position for damage detection in wind turbine towers. A discrete Kalman Filter (KF) is employed for the estimation of the NA in the presence of measurement noise from the strain sensors. The KF allows data fusion from the strain sensors and the yaw mechanism for the accurate estimation of the NA. Any change in the NA position may be used for detecting and locating the damage. The tan inverse of the ratio of the change in the NA along two perpendicular axes is taken and used for the localization. The study was carried out on a simulated finite element (FE) model of a wind turbine tower with a surface crack. The sensitivity studies carried out on the structure in terms of different crack sizes, crack locations and crack orientations indicate that the methodology is robust enough to detect the crack under different operational loading conditions.
Rocznik
Strony
223--235
Opis fizyczny
Bibliogr. 33 poz., rys., tab.
Twórcy
autor
  • Institute of Fluid-Flow Machinery, Polish Academy of Sciences, Fiszera 14, 80-231 Gdansk, Poland
  • Institute of Fluid-Flow Machinery, Polish Academy of Sciences, Fiszera 14, 80-231 Gdansk, Poland
  • Institute of Fluid-Flow Machinery, Polish Academy of Sciences, Fiszera 14, 80-231 Gdansk, Poland
  • Warsaw University of Technology Faculty of Automotive and Construction Machinery, Narbutta 84, 02-524 Warsaw, Poland
Bibliografia
  • [1] Cho S, Park J, Jung H J, Yun C B, Yang S, Jo H, Spencer B F, Nagayama T and Seo J W 2012 Bridge Maintenance, Safety, Management and Life-Cycle Optimization: Proceedings of the Fifth International IABMAS Conference, Philadelphia, USA, Frangopol D, Sause R and Kusko Ch, (editors)
  • [2] Doebling S W, Farrar C R, Prime M B et al. 1998 Shock and vibration digest 30 (2) 91
  • [3] Adewuyi A P, Wu Z and Serker N H M K 2009 Structural Health Monitoring 8 (6) 443
  • [4] Cawley P and Adams R D 1979 The Journal of Strain Analysis for Engineering Design 14 (2) 49
  • [5] Hunt D L 1992 10 th International modal analysis conference 1 66
  • [6] Pandey A K, Biswas M and Samman M M 1991 Journal of sound and vibration 145 (2) 321
  • [7] Pandey A K and Biswas M 1994 Journal of sound and vibration 169 (1) 3
  • [8] Chakraborty S and DeWolf J T 2006 Journal of Bridge Engineering 11 (6) 753
  • [9] Zonta D and Bernal D 2006 Proc. of IMAC XXIV, St. Louis 197
  • [10] Benedetti M, Fontanari V and Zonta D 2011 Smart Materials and Structures 20 (5), 055009
  • [11] Adewuyi A P and Wu Z S 2011 Structural Control and Health Monitoring 18 (3) 341
  • [12] Ciang Ch Ch, Lee J-R and Bang H-J 2008 Measurement Science and Technology 19 (12) 122001
  • [13] Faulstich S, Hahn B and Tavner P J 2011 Wind Energy 14 (3) 327
  • [14] Soman R, Malinowski P and Ostachowicz W 2014 Neutral axis tracking for damage detection in wind turbine towers, Proceedings of the European Wind Energy Association Conference, Barcelona, Spain
  • [15] Soman R, Malinowski P H and Ostachowicz W 2014 Kalman-filter based data fusion for neutral axis tracking for damage detection in wind-turbine towers, Proceedings of the 7 th European Workshop on Structural Health Monitoring (EWSHM), Nantes, France
  • [16] Soman R, Malinowski P, Ostachowicz W and Paulsen U S 2015 Proc. SPIE 9438, 94381B
  • [17] Soman R, Malinowski P H and Ostachowicz W 2015 Threshold determination for neutral axis tracking based damage detection in wind turbine towers, Proceedings of the Offshore European Wind Energy Association Conference, Copenhagen, Denmark
  • [18] Soman R, Malinowski P H and Ostachowicz W 2015 Bi-axial neutral axis tracking for damage detection in wind-turbine towers, Wind Energy (in press)
  • [19] Welch G and Bishop G 2014 An introduction to the Kalman filter, [online on 24/01/2014 at http://clubs.ens-cachan.fr/krobot/old/data/positionnement/kalman.pdf]
  • [20] Schmidt Paulsen U 2011 Verification of long-term load measurement technique, Work Package 1B.2 under the European Commission, Integrated Wind Turbine Design (UPWIND)
  • [21] Jang Sh, Jo H, Cho S, Mechitov K, Rice J A, Sim S-H, Jung H-J, Yun Ch-B, Spencer Jr B F and Agha G 2010 Smart Structures and Systems 6 (5–6) 439
  • [22] Bak C, Zahle F, Bitsche R, Kim T, Yde A, Henriksen L C, Natarajan A and Hansen M 2013 Description of the DTU 10MW reference wind turbine, DTU Wind Energy ReportI-0092
  • [23] Xia H W, Ni Y Q and Ye X W 2012 Neutral-axis position based damage detection of bridge deck using strain measurement: formulation of a kalman filter estimator, Proceedings of the 6th European Workshop on Structural Health Monitoring, Dresden, Germany
  • [24] Brown R G, Hwang P Y C et al. 1992 Introduction to random signals and applied Kalman filtering, Wiley New York, 3
  • [25] ABAQUS 2013 Analysis User’s manual, version 6.12-3
  • [26] Eurocode 2009 NS-EN 1991-1-4, “General actions – Wind actions”, Standards Norway 2005+NA
  • [27] Bas J, Carriveau R, Cheng S and Newson T 2012 Strain response of a wind turbine tower as a function of nacelle orientation, BIONATURE 2012, The Third International Conference on Bioenvironment, Biodiversity and Renewable Energies 12
  • [28] Cao J J, Yang G J, Packer J A and Burdekin F M 1998 Engineering Fracture Mechanics 61 (5) 537
  • [29] Chondros T G, Dimarogonas A D and Yao J 2001 Journal of Sound and vibration 239 (1) 57
  • [30] Skallerud B 1995 Fatigue and Fracture of Engineering Materials and Structures 18 (4) 463
  • [31] Wu S and Abel A 1991 Analysis of fatigue surface crack growth in tubular joints used in offshore structures, The First International Offshore and Polar Engineering Conference
  • [32] Rytter A 1993 Vibrational based inspection of civil engineering structures, PhD thesis
  • [33] Bas J, Smith J, Carriveau R, Cheng Sh, Ting D S K and Newson T 2012 Wind Engineering 36 (5) 553
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d8a8ca2f-b0bb-4504-99c1-83224a3a9c41
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