Journal of the Korean Society for Nondestructive Testing (비파괴검사학회지)

The Korean Society for Nondestructive Testing (한국비파괴검사학회)
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Analysis of Time Domain Active Sensing Data from CX-100 Wind Turbine Blade Fatigue Tests for Damage Assessment

  • Choi, Mijin (Department of Aerospace Engineering & LANL-CBNU Engineering Institute, Chunbuk National University) ;
  • Jung, Hwee Kwon (School of Mechanical Engineering, Chonnam National University) ;
  • Taylor, Stuart G. (The Engineering Institute, Los Alamos National Laboratory) ;
  • Farinholt, Kevin M. (The Engineering Institute, Los Alamos National Laboratory) ;
  • Lee, Jung-Ryul (Department of Aerospace Engineering, KAIST) ;
  • Park, Gyuhae (School of Mechanical Engineering, Chonnam National University)
  • Received : 2015.10.12
  • Accepted : 2016.03.10
  • Published : 2016.04.30
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Abstract

This paper presents the results obtained using time-series-based methods for structural damage assessment. The methods are applied to a wind turbine blade structure subjected to fatigue loads. A 9 m CX-100 (carbon experimental 100 kW) blade is harmonically excited at its first natural frequency to introduce a failure mode. Consequently, a through-thickness fatigue crack is visually identified at 8.5 million cycles. The time domain data from the piezoelectric active-sensing techniques are measured during the fatigue loadings and used to detect incipient damage. The damage-sensitive features, such as the first four moments and a normality indicator, are extracted from the time domain data. Time series autoregressive models with exogenous inputs are also implemented. These features could efficiently detect a fatigue crack and are less sensitive to operational variations than the other methods.

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References

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