Structural Monitoring and Maintenance

  • 제4권3호
  • /
  • Pages.221-236
  • /
  • 2017
  • /
  • 2288-6605(pISSN)
  • /
  • 2288-6613(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Vibration-based damage alarming criteria for wind turbine towers

  • Nguyen, Cong-Uy (Department of Ocean Engineering, Pukyong National University) ;
  • Huynh, Thanh-Canh (Department of Ocean Engineering, Pukyong National University) ;
  • Dang, Ngoc-Loi (Department of Ocean Engineering, Pukyong National University) ;
  • Kim, Jeong-Tae (Department of Ocean Engineering, Pukyong National University)
  • 투고 : 2017.08.14
  • 심사 : 2017.09.05
  • 발행 : 2017.09.25
⟨ 이전 논문 다음 논문 ⟩

초록

In this study, the feasibility of vibration-based damage alarming algorithms are numerically evaluated for wind turbine tower structures which are subjected to harmonic force excitation. Firstly, the algorithm of vibration-based damage alarming for the wind turbine tower (WTT) is visited. The natural frequency change, modal assurance criterion (MAC) and frequency-response-ratio assurance criterion (FRRAC) are utilized to recognize changes in dynamic characteristics due to a structural damage. Secondly, a finite element model based on a real wind turbine tower is established in a structural analysis program, Midas FEA. The harmonic force is applied at the rotor level as presence of excitation. Several structural damage scenarios are numerically simulated in segmental joints of the wind turbine model. Finally, the natural frequency change, MAC and FRRAC algorithm are employed to identify the structural damage occurred in the finite element model. The results show that these criteria could be used as promising damage existence indicators for the damage alarming in wind turbine supporting structures.

키워드

과제정보

연구 과제 주관 기관 : Ministry of Land, Infrastructure and Transport (MOLIT)

참고문헌

  1. Benedetti, M., Fontanari, V. and Zonta, D. (2011), "Structural health monitoring of wind towers: remote damage detection using strain sensors", Smart Mater. Struct., 20, 1-13.
  2. Brinker, R., Zhang, L. and Andersen, P. (2000), "Modal identification from ambient response using frequency domain decomposition", Proceeding of the 16th International Modal Analysis Conference, San Antonio, Texas, USA.
  3. Doebling, S.W., Farrar, C.R. and Prime, M.B. (1998), "A summary review of vibration-based damage identification methods", J. Sound Vib., 30, 91-105.
  4. Farrar, C.R. (1997), "System identification from ambient vibration measurements on a bridge", J. Sound Vib., 205(1), 1-18. https://doi.org/10.1006/jsvi.1997.0977
  5. Huynh, T.C. and Kim, J.T. (2014), "Impedance-based cable force monitoring in tendon-anchorage using portable PZT-interface technique", Math. Probl. Eng., 2014, 1-13.
  6. Kim, J.T. and Stubbs, N. (1995), "Model uncertainty and damage detection accuracy in plate-girder bridges", J. Struct. Eng. - ASCE, 121(10), 1409-1417. https://doi.org/10.1061/(ASCE)0733-9445(1995)121:10(1409)
  7. Kim, J.T., Huynh, T.C. and Lee, S.Y. (2014), "Wireless structural health monitoring of stay cables under two consecutive typhoons", Struct. Monit. Maint., 1(1), 047-067
  8. Kim, J.T., Park, J.H., Hong, D.S. and Park, W.S. (2010), "Hybrid health monitoring of prestressed concrete girder bridges by sequential vibration-impedance approaches", Eng. Struct., 32, 115-12. https://doi.org/10.1016/j.engstruct.2009.08.021
  9. Kim, J.T., Ryu, Y.S., Cho H.M. and Stubbs, N. (2003), "Damage identification in beam-type structures: Frequency-based method vs mode-shape-based method", Eng. Struct., 25, 57-67. https://doi.org/10.1016/S0141-0296(02)00118-9
  10. Kim, J.T., Sim, S.H., Cho, S.J. and Yun, C.B. (2016), "Recent R&D activities on structural health monitoring in Korea", Struct. Monit. Maint., 3(1), 091-114
  11. Nguyen, T.C., Huynh, T.C. and Kim, J.T. (2015), "Numerical evaluation for vibration-based damage detection in wind turbine tower structure", Wind Struct., 21(6), 657-675. https://doi.org/10.12989/was.2015.21.6.657
  12. Nguyen, T.C., Huynh, T.C. and Kim, J.T. (2016), "Hybrid bolt-loosening detection in wind turbine tower structures by vibration and impedance responses", Wind Struct., 24(4), 385-403. https://doi.org/10.12989/WAS.2017.24.4.385
  13. Pandey, A.K. and Biswas, M. (1994), "Damage detection in structures using changes in flexibility", J. Sound Vib., 169(1), 3-17. https://doi.org/10.1006/jsvi.1994.1002
  14. Pineda, I. and Tardieu, P. (2017), "Wind in power: 2016 European statistics", Wind Europe
  15. Vandiver, J.K. (1977), "Detection of structural failure on fixed platforms by measurement of dynamic response", J. Petroleum Technol., 29(3), 305:310.
  16. West, W.M. (1984), "Illustration of the use of modal assurance criterion to detect structural changes in an orbiter test specimen", Proceeding of the Air Force Conference on Aircraft Structural Integrity, 1-6.
  17. Yi, J.H. and Yun, C.B. (2004), "Comparative study on modal identification methods using output-only information", Struct. Eng. Mech., 17(3), 445-466. https://doi.org/10.12989/sem.2004.17.3_4.445
  18. You, T., Gardoni, P. and Hurlebaus, S. (2013), "Iterative damage index method for structural health monitoring", Struct. Monit. Maint., 1(1), 89-110. https://doi.org/10.12989/smm.2014.1.1.089

피인용 문헌

  1. Effect of Raindrop Size Distribution on Rain Load and Its Mechanism in Analysis of Transmission Towers vol.18, pp.9, 2017, https://doi.org/10.1142/s0219455418501158
  2. Vibration-Based Damage Assessment in Gravity-Based Wind Turbine Tower under Various Waves vol.2019, pp.None, 2017, https://doi.org/10.1155/2019/1406861