Log in

Damage detection of flange bolts in wind turbine towers using dynamic strain responses

  • Original Paper
  • Published:
Journal of Civil Structural Health Monitoring Aims and scope Submit manuscript

Abstract

With the development of wind power industry, the adoption of the wind turbine has achieved continuous growth over the years. As the key component to connect the adjacent segments of the towers, the flange bolts play a vital role in the safe operation of the wind turbine towers. The detection of loose bolts has drawn extensive attention. The primary objectives of this research are to present a method for damage detection of flange bolts in the wind turbine towers. In this paper, the formulation of the damage index based on the dynamic strain responses is first presented based on the mechanical characteristics of the wind turbine towers. Then, a parametric analysis is conducted based on the numerical simulation to investigate the influence of the loose bolt location on the damage index. Some important results are extracted in the parametric analysis, which is further validated by the experimental investigation into a large-scale steel tube specimen whose flange has 12 bolts. Finally, a methodology for damage detection of the flange bolts is proposed, which can identify the regional location of loose bolts.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Germany)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23
Fig. 24
Fig. 25
Fig. 26

Similar content being viewed by others

References

  1. Stambouli AB, Traversa E (2002) Solid oxide fuel cells (SOFCs): a review of an environmentally clean and efficient source of energy. Renew Sustain Energy Rev 6(5):433–455

    Article  Google Scholar 

  2. Leithead W (1853) Wind energy. Philos Trans R Soc A Math Phys Eng Sci 2007(365):957–970

    Google Scholar 

  3. Gamel J, Bauer A, Decker T et al (2022) Financing wind energy projects: an extended theory of planned behavior approach to explain private households’ wind energy investment intentions in Germany. Renew Energy 182:592–601

    Article  Google Scholar 

  4. Zhang L, **ng H (2013) A study on wind turbines safe operation. Wind Energy 01:92–95 ((in Chinese))

    Google Scholar 

  5. Feng HL (2013) Risk assessment of tropical cyclones to wind farm operation in northern coastal areas of Jiangsu province. Meteorol Environ Res 4(08):17–20

    Google Scholar 

  6. Dai KS, Zhao Z, Mao ZX (2019) Failure of a wind turbine tower under extreme dynamic loads. J Vib Shock 38(15):252–257 ((in Chinese))

    Google Scholar 

  7. Oliveira G, Magalhães F, Cunha Á et al (2018) Continuous dynamic monitoring of an onshore wind turbine. Eng Struct 164:22–39

    Article  Google Scholar 

  8. Mar AM, José MA, Felipe PAR et al (2019) Wind turbine tower collapse due to flange failure: FEM and DOE analyses. Eng Fail Anal 104:932–949

    Article  Google Scholar 

  9. Seidel M (2018) Tolerance requirements for flange connections in wind turbine support structures. Stahlbau 87(9):880–887

    Article  Google Scholar 

  10. Zuo HR, Bi KM, Hao H (2018) Dynamic analyses of operating offshore wind turbines including soil-structure interaction. Eng Struct 157:42–62

    Article  Google Scholar 

  11. Chou JS, Tu WT (2011) Failure analysis and risk management of a collapsed large wind turbine tower. Eng Fail Anal 18(1):295–313

    Article  Google Scholar 

  12. Chen X, Li CF, Xu JZ (2015) Failure investigation on a coastal wind farm damaged by super typhoon: a forensic engineering study. J Wind Eng Ind Aerodyn 147:132–142

    Article  Google Scholar 

  13. Ma Y, Martinez-Vazquez P, Baniotopoulos C (2019) Wind turbine tower collapse cases: a historical overview. Proc Inst Civ Eng 172(SB8):547–555

    Google Scholar 

  14. Zhang X, Wang X, Luo Y (2012) An improved torque method for preload control in precision assembly of miniature bolt joints. Strojniski Vestnik 58(10):578–586

    Article  Google Scholar 

  15. Younsi R, El-Batanony I, Tritsch JB et al (2001) Dynamic study of a wind turbine blade with horizontal axis. Eur J Mech A/solids 20(2):241–252

    Article  MATH  Google Scholar 

  16. Wang F, Qu J (2020) Bolt loose judging device for offshore wind turbine. E3S Web Conf 194:03007

    Article  Google Scholar 

  17. Park JH, TC H, Choi SH et al (2015) Vision-based technique for bolt-loosening detection in wind turbine tower. Wind Struct 21(6):709–726

  18. He XL, She TL, Franco C (2019) A new identification method for bolt looseness in wind turbine towers. Shock Vib 2019:1–10

    Google Scholar 

  19. Wu E, Chen HJ, Qu WF et al (2021) Finite element model of bolt looseness of wind turbine tower. IOP Conf Ser Earth Environ Sci 680(1):012022

    Article  Google Scholar 

  20. Nguyen TC, Huynh TC, Yi JH, Kim JT (2017) Hybrid bolt-loosening detection in wind turbine tower structures by vibration and impedance responses. Wind Struct Int J 24(4):385–403

    Article  Google Scholar 

  21. Nguyen CU, Huynh TC, Kim JT (2018) Vibration-based damage detection in wind turbine towers using artificial neural networks. Struct Monit Mainten 5(4):507–519

    Google Scholar 

  22. Yang XY, Gao YQ, Fang C, Zheng Y, Wang W (2022) Deep learning-based bolt loosening detection for wind turbine towers. Struct Control Health Monit 29(6):e2943

    Article  Google Scholar 

  23. Farhad M, Majid M, Aref A (2018) Nonlinear behavior of single bolted flange joints: a novel analytical model. Eng Struct 173:908–917

    Article  Google Scholar 

  24. Luan Y, Guan ZQ, Cheng GD et al (2011) A simplified nonlinear dynamic model for the analysis of pipe structures with bolted flange joints. J Sound Vib 331(2):325–344

    Article  Google Scholar 

  25. Li S, Wu Z (2007) Development of distributed long-gage fiber optic sensing system for structural health monitoring. Struct Health Monit 6(2):133–143

    Article  Google Scholar 

  26. Hong W, Wu Z, Yang C et al (2012) Investigation on the damage identification of bridges using distributed long-gauge dynamic macrostrain response under ambient excitation. J Intell Mater Syst Struct 23(1):85–103

    Article  Google Scholar 

  27. Razi P, Esmaeel RA, Taheri F (2013) Improvement of a vibration-based damage detection approach for health monitoring of bolted flange joints in pipelines. Struct Health Monit 12(3):207–224

    Article  Google Scholar 

  28. Mujica LE, Vehi J, Staszewski W, Worden K (2008) Impact damage detection in aircraft composites using knowledge-based reasoning. Struct Health Monit 7(3):215–230

    Article  Google Scholar 

  29. Lynch JP, Loh KJ (2006) A summary review of wireless sensors and sensor networks for structural health monitoring. Shock Vib Dig 38(2):91–128

    Article  Google Scholar 

  30. Pakzad SN, Fenves GL (2009) Statistical analysis of vibration modes of a suspension bridge using spatially dense wireless sensor network. J Struct Eng 135(7):863–872

    Article  Google Scholar 

  31. Kurata M, Kim J, Lynch JP, van der Linden GW, Sedarat H, Thometz E, Hipley P, Sheng LH (2013) Internet-enabled wireless structural monitoring systems: development and permanent deployment at the New Carquinez Suspension Bridge. J Struct Eng 139(10):1688–1702

    Article  Google Scholar 

  32. Park G, Inman DJ (2007) Structural health monitoring using piezoelectric impedance measurements. Philos Trans R Soc A 365:373–392

    Article  Google Scholar 

  33. Kurata M, Li X, Fujita K et al (2013) Piezoelectric dynamic strain monitoring for detecting local seismic damage in steel buildings. Smart Mater Struct 22:115002

    Article  Google Scholar 

  34. Li XH, Kurata M, Nakashima M (2015) Evaluating damage extent of fractured beams in steel moment-resisting frames using dynamic strain responses. Earthq Eng Struct Dynam 44:563–581

    Article  Google Scholar 

  35. Chopra AK (2001) Dynamics of structures: theory and applications to earthquake engineering (2th edn). Prentice Hall, New York

    Google Scholar 

  36. Huang Y, Deng HZ, ** XH (2011) Experimental research and finite element analysis on flexural performance of innovative flange joint used in steel poles. J Build Struct 32(10):73–81 ((in Chinese))

    Google Scholar 

  37. Wang WD, Yi LB, Fan JH (2020) Analysis of bending performance of inner and outer flange connections of circular concrete-filled double skin steel tubular member. J Arch Civ Eng 37(4):42–51 ((in Chinese))

    Google Scholar 

  38. GB 50017-2017 (2017) Standard for design of steel structures. China Architecture & Building Press, Bei**g (in Chinese)

  39. https://peer.berkeley.edu/peer-strong-ground-motion-databases.

  40. Shinozuka M (1971) Simulation of multivariate and multidimensional random process. J Acoust Soc Am 49(1):357–367

    Article  Google Scholar 

Download references

Acknowledgements

The authors gratefully acknowledge the financial support provided by the Fok Ying Tung Education Foundation (171066). In addition, this work was supported by the National Natural Science Foundation of China (Grant no. 52178454) and Natural Science Foundation of Chongqing (Grant no. cstc2019jcyj-msxmX0254).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to **ao-Hua Li.

Ethics declarations

Conflict of interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, SZ., Li, H., Zhou, XH. et al. Damage detection of flange bolts in wind turbine towers using dynamic strain responses. J Civil Struct Health Monit 13, 67–81 (2023). https://doi.org/10.1007/s13349-022-00622-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13349-022-00622-z

Keywords

Navigation