Smart Structures and Systems

  • 제24권5호
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  • Pages.597-606
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  • 2019
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Local damage detection of a fan blade under ambient excitation by three-dimensional digital image correlation

  • Hu, Yujia (School of Mechanical Engineering, University of Shanghai for Science and Technology) ;
  • Sun, Xi (School of Mechanical Engineering, University of Shanghai for Science and Technology) ;
  • Zhu, Weidong (2Department of Mechanical Engineering, University of Maryland) ;
  • Li, Haolin (School of Mechanical Engineering, University of Shanghai for Science and Technology)
  • 투고 : 2019.06.13
  • 심사 : 2019.08.16
  • 발행 : 2019.11.25
⟨ 이전 논문 다음 논문 ⟩

초록

Damage detection based on dynamic characteristics of a structure is one of important roles in structural damage identification. It is difficult to detect local structural damage using traditional dynamic experimental methods due to a limited number of sensors used in an experiment. In this work, a non-contact test stand of fan blades is established, and a full-field noncontact test method, combined with three-dimensional digital image correlation, Bayesian operational modal analysis, and damage indices, is used to detect local damage of a fan blade under ambient excitation without use of baseline information before structural damage. The methodology is applied to detect invisible local damage on the fan blade. Such a method has a seemingly high potential as an alternative to detect local damage of blades with complex high-precision surfaces under extreme working conditions because it is a noncontact test method and can be used under ambient excitation without human participation.

키워드

과제정보

연구 과제 주관 기관 : Shanghai Natural Science Foundation, Shanghai Science and Technology Innovation Fund, National Science Foundation, National Natural Science Foundation of China

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