International Journal of Aeronautical and Space Sciences

The Korean Society for Aeronautical and Space Sciences (한국항공우주학회)
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Structural Performance Tests of Down Scaled Composite Wind Turbine Blade using Embedded Fiber Bragg Grating Sensors

  • Kim, Sang-Woo (School of Mechanical, Aerospace and Systems Engineering, Korea Advanced Institute of Science and Technology) ;
  • Kim, Eun-Ho (School of Mechanical, Aerospace and Systems Engineering, Korea Advanced Institute of Science and Technology) ;
  • Rim, Mi-Sun (School of Mechanical, Aerospace and Systems Engineering, Korea Advanced Institute of Science and Technology) ;
  • Shrestha, Pratik (School of Mechanical, Aerospace and Systems Engineering, Korea Advanced Institute of Science and Technology) ;
  • Lee, In (School of Mechanical, Aerospace and Systems Engineering, Korea Advanced Institute of Science and Technology) ;
  • Kwon, Il-Bum (Center for Safety Measurement, Korea Research Institute of Standards and Science)
  • Received : 2011.10.30
  • Accepted : 2011.12.07
  • Published : 2011.12.30
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Abstract

In this study, the structural performance tests, i.e., static tests and dynamic tests of the composite wind turbine blade, were carried out by using the embedded fiber Bragg grating (FBG) sensors. The composite wind turbine blade used in the test is the 1/23 scale of the 750 kW composite blade. In static tests, the deflections along the blade were evaluated. Evaluations were carried out with simple beam theory and quadratic fitting method by using the embedded FBG sensors to predict the structural behavior with respect to the load. The deflections were compared to those obtained from the laser displacement sensor and electric strain gauges. They showed good agreement. Modal tests were performed to investigate the dynamic characteristics using the embedded FBG sensors. The natural frequencies obtained from the FBG sensors corresponding to the nine mode shapes of the blade were compared to those from the laser Doppler vibrometer. They were found to be consistent with each other. Therefore, it is concluded that the embedded FBG sensors have a great capability for measuring the structural performances of the composite wind turbine blade when structural performance tests are carried out.

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References

  1. Chang, S. J. and Kim, N. S. (2011). Estimation of displacement response from FBG strain sensors using empirical mode decomposition technique. Experimental Mechanics in press [http://dx.doi.org/10.1007/s11340-011-9522-z].
  2. 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. Measurement Science and Technology, 19, 122001. https://doi.org/10.1088/0957-0233/19/12/122001
  3. 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. Journal of Thermoplastic Composite Materials, 15, 267-277. https://doi.org/10.1177/0892705702015003455
  4. Hill, K. O., Malo, B., Bilodeau, F., Johnson, D. C., and Albert, J. (1993). Bragg gratings fabricated in monomode photosensitive optical fiber by UV exposure through a phase mask. Applied Physics Letters, 62, 1035-1037. https://doi.org/10.1063/1.108786
  5. Jensen, F. M., Falzon, B. G., Ankersen, J., and Stang, H. (2006). Structural testing and numerical simulation of a 34 m composite wind turbine blade. Composite Structures, 76, 52-61. https://doi.org/10.1016/j.compstruct.2006.06.008
  6. Jorgensen, E. R., Borum, K. K., McGugan, M., Thomsen, C. L., Jensen, F. M., and Debel, C. P. (2004). Full Scale Testing of Wind Turbine Blade to Failure-Flapwise Loading [Riso-R-1392(EN)]. Roskilde: Riso National Laboratory.
  7. Kim, C. H., Paek, I., and Yoo, N. (2010). Monitoring of small wind turbine blade using FBG sensors. Proceedings of the International Conference on Control, Automation and Systems, Gyeonggi-do, Korea. pp. 1059-1061.
  8. Kim, D. H. and Kim, Y. H. (2011). Performance prediction of a 5MW wind turbine blade considering aeroelastic effect. Proceedings of World Academy of Science, Engineering and Technology, 81, 771-775.
  9. Larsen, G. C. and Forskningscenter Riso (2002). Modal Analysis of Wind Turbine Blades [Riso-R-1181(EN)]. Roskilde: Riso National Laboratory.
  10. Qiao, Y., Zhou, Y., and Krishnaswamy, S. (2006). Adaptive demodulation of dynamic signals from fiber Bragg gratings using two-wave mixing technology. Applied Optics, 45, 5132-5142. https://doi.org/10.1364/AO.45.005132
  11. Rumsey, M. A. and Paquette, J. A. (2008). Structural health monitoring of wind turbine blades. Proceedings of SPIE, 6933, 69330E.

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