DOI QR코드

DOI QR Code

Numerical evaluation for vibration-based damage detection in wind turbine tower structure

  • Received : 2014.11.15
  • Accepted : 2015.12.02
  • Published : 2015.12.25

Abstract

In this study, the feasibility of vibration-based damage detection methods for the wind turbine tower (WTT) structure is evaluated. First, a frequency-based damage detection (FBDD) is outlined. A damage-localization algorithm is visited to locate damage from changes in natural frequencies. Second, a mode-shape-based damage detection (MBDD) method is outlined. A damage index algorithm is utilized to localize damage from estimating changes in modal strain energies. Third, a finite element (FE) model based on a real WTT is established by using commercial software, Midas FEA. Several damage scenarios are numerically simulated in the FE model of the WTT. Finally, both FBDD and MBDD methods are employed to identify the damage scenarios simulated in the WTT. Damage regions are chosen close to the bolt connection of WTT segments; from there, the stiffness of damage elements are reduced.

Keywords

Acknowledgement

Supported by : Ministry of Land, Infrastructure and Transport (MOLIT)

References

  1. Atkan, A.E., Farhey, D.N., Helmicki, A.J., Brown, D.L., Hunt, V.J., Lee, K.L. and Levi, A. (1997), "Structural identification for condition assessment: experimental arts", J. Struct. Eng. - ASCE, 123(12), 1674-1684. https://doi.org/10.1061/(ASCE)0733-9445(1997)123:12(1674)
  2. Brownjohn, J.M.W., Xia, P.Q., Hao, H. and Xia, Y. (2001), "Civil structure condition assessment by FE model updating: methodology and case studies", Finit. Elem. Anal. Des., 37(10), 761-775. https://doi.org/10.1016/S0168-874X(00)00071-8
  3. Catbas, F.N., Gul, M. and Burkett, J. (2008), "Conceptual damage-sensitive features for structural health monitoring: laboratory and field demonstrations", Mech. Syst. Signal Pr., 22(7), 1650-1669. https://doi.org/10.1016/j.ymssp.2008.03.005
  4. Ciang, C.C., Lee, J.R. and Bang, H.J. (2008), "Structural health monitoring for a wind turbine system: a review of damage detection methods", Meas. Sci. Technol., 19(12), 122001-1 -122001-20. https://doi.org/10.1088/0957-0233/19/12/122001
  5. Doebling, S.W., Farrar, C.R. and Prime, M.B. (1998), "A summary review of vibration-based damage identification methods", J. Shock Vib. Dig., 30, 91-105. https://doi.org/10.1177/058310249803000201
  6. Devriendt, C., Weijtjens, W., El-Kafafy, M. and Sitter, B.D. (2014), "Monitoring res resonant frequencies and damping values of an offshore wind turbine in parked conditions", IET Renewable Power Generation, 8(4), 433-441. https://doi.org/10.1049/iet-rpg.2013.0229
  7. Dutton, A.G. (2004), "Thermoelastic stress measurement and acoustic emission monitoring in wind turbine blade testing", Proceedings of the European Wind Energy Conf. EWEC 2004, London.
  8. Farrar, C.R. and Doebling, S.W. (1997), An overview of modal-based damage identification methods, DAMAS 97 (Sheffield, UK).
  9. Ghoshal, A., Sundaresan, M.J., Schulz, M.J. and Pai, P.F. (2000), "Structural health monitoring techniques for wind turbine blades", J. Wind Eng. Ind. Aerod., 85, 309-324. https://doi.org/10.1016/S0167-6105(99)00132-4
  10. Gross, E., Simmermacher, T., Rumsey, M. and Zadoks, R.I. (1999), Application of damage detection techniques using wind turbine modal data, American Society of Mechanical Engineers Wind Energy Symp. (Reno, NV, USA) AIAA 99-0047.
  11. Hahn, F., Kensche, C.W., Paynter, R.J.H., Dutton, A.G., Kildegaard, C. and Kosgaard, J. (2002), "Design, fatigue test and NDE of a sectional wind turbine rotor blade", J. Thermoplast. Compos. Mater., 15, 267-77. https://doi.org/10.1177/0892705702015003455
  12. Jang, S.A., Jo, H., Cho, S., Mechitov, K.A., Rice, J.A., Sim, S.H., Jung, H.J., Yun, C.B., Spencer, Jr., B.F., and Agha, G. (2010), "Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation", Smart Struct. Syst., 6(5-6), 439-459. https://doi.org/10.12989/sss.2010.6.5_6.439
  13. Joosse, P.A., Blanch, M.., Dutton, A.G., Kouroussis, D.A., Philippidis, T.P. and Vionis, P.S. (2002), "Acoustic emission monitoring of small wind turbine blades", Proceedings of the 21st ASME Wind Energy Symp. in conjunction with 40th AIAA Aerospace Sciences Meeting, Reno, USA, 1-11 & AIAA-2002-0063.
  14. Kim, J.T., Ryu, Y.S., Cho H.M., 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
  15. 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)
  16. Kim, J.T. and Stubbs, N. (2003), "Nondestructive crack detection algorithms for full-scale bridges", J. Struct. Eng. - ASCE, 129(10), 1358-1366. https://doi.org/10.1061/(ASCE)0733-9445(2003)129:10(1358)
  17. Kim, J.T., Yun, C.B. and Park, J.H. (2004), "Thermal effects on modal properties and frequency-based damage detection in plate-girder bridges", Proceedings of SPIE, 5391, 400-409.
  18. Lee, J.R. and Tsuda, H. (2005), "A novel fiber Bragg grating acoustic emission sensor head for mechanical tests", Scr. Mater., 53(10), 11811186.
  19. Levin, R.J. and Lieven, N.A.J. (1998), "Dynamic finite element model updating using simulated annealing and genetic algorithms", Mech. Syst. Signal Pr., 12(1), 91-120. https://doi.org/10.1006/mssp.1996.0136
  20. Matsuzaki, R. and Todoroki, A. (2006), "Wireless detection of internal delamination cracks in CFRP laminates using oscillating frequency changes", Compos. Sci. Technol., 66, 407-416. https://doi.org/10.1016/j.compscitech.2005.07.016
  21. Perez, I., Cui, H.L. and Udd, E. (2001), "Acoustic emission detection using fiber Bragg gratings", Proceedings of the SPIE Smart Structures and Materials-Sensory Phenomena and Measurement Instrumentation for Smart Structures and Materials, USA.
  22. Shi, Z.Y., Law, S.S. and Zhang, L.M. (1998), "Structural damage localization from modal strain energy change", J. Sound Vib., 285(5), 825-844.
  23. Sutherland, H., Beattie, A., Hansche, B., Musial, W., Allread, J., Johnson, J. and Summers, M. (1994), The application of non-destructive techniques to the testing of a wind turbine blade, Sandia Report SAND93-1380 Sandia National Laboratories, USA.
  24. Swartz, R.A., Lynch, J.P., Zerbst, S., Sweetman, B. and Rolfes, R. (2009), "Structural monitoring of wind turbines using wireless sensor networks", Smart Struct. Syst., 6(3), 1-14.
  25. Yang, Z., Elgamal, A., Abdoun, T. and Lee, C.J. (2001), "A numerical study of lateral spreading behind a caisson-type quay wall", Proceedings of the 4th International Conference on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics and Symposium, California, USA, March.
  26. Yun, C.B. and Bahng, E.Y. (2000), "Substructural identification using neural networks", Comput. Struct., 77(1), 41-52. https://doi.org/10.1016/S0045-7949(99)00199-6
  27. Yun G.J., Ogorzalek, K.A., Dyke, S.J. and Song, W. (2009), "A two-stage damage detection approach based on subset of damage parameters and genetic algorithms", Smart Struct. Syst., 5(1), 1-21. https://doi.org/10.12989/sss.2009.5.1.001
  28. Zhang, H., Schulz, M.J., Ferguson, F. and Pai, P.F. (1999), "Structural health monitoring using transmittance functions", Mech. Syst. Signal Pr., 13, 765-787. https://doi.org/10.1006/mssp.1999.1228

Cited by

  1. Parametric FEA modelling of offshore wind turbine support structures: Towards scaling-up and CAPEX reduction vol.19, 2017, https://doi.org/10.1016/j.ijome.2017.05.005
  2. Hybrid bolt-loosening detection in wind turbine tower structures by vibration and impedance responses vol.24, pp.4, 2015, https://doi.org/10.12989/was.2017.24.4.385
  3. Vibration-based damage alarming criteria for wind turbine towers vol.4, pp.3, 2015, https://doi.org/10.12989/smm.2017.4.3.221
  4. Assembly strategies of wind turbine towers for minimum fatigue damage vol.25, pp.6, 2015, https://doi.org/10.12989/was.2017.25.6.569
  5. Vibration-Based Damage Assessment in Gravity-Based Wind Turbine Tower under Various Waves vol.2019, pp.None, 2015, https://doi.org/10.1155/2019/1406861
  6. A comparison of structural performance enhancement of horizontally and vertically stiffened tubular steel wind turbine towers vol.73, pp.5, 2015, https://doi.org/10.12989/sem.2020.73.5.487
  7. Slope topography effect on the seismic response of mid-rise buildings considering topography-soil-structure interaction vol.20, pp.2, 2015, https://doi.org/10.12989/eas.2021.20.2.187
  8. Nonlinear Optimal-Based Vibration Control of a Wind Turbine Tower Using Hybrid vs. Magnetorheological Tuned Vibration Absorber vol.14, pp.16, 2021, https://doi.org/10.3390/en14165145
  9. Magnetoelastic Ribbons as Vibration Sensors for Real-Time Health Monitoring of Rotating Metal Beams vol.21, pp.23, 2021, https://doi.org/10.3390/s21238122