DOI QR코드

DOI QR Code

Damage detection for beam structures based on local flexibility method and macro-strain measurement

  • Hsu, Ting Yu (Department of Civil and Construction Engineering, National Taiwan University of Science and Technology) ;
  • Liao, Wen I (Department of Civil and Environment Engineering, National Taipei University of Technology) ;
  • Hsiao, Shen Yau (National Center for Research on Earthquake Engineering)
  • 투고 : 2016.05.03
  • 심사 : 2017.03.07
  • 발행 : 2017.04.25

초록

Many vibration-based global damage detection methods attempt to extract modal parameters from vibration signals as the main structural features to detect damage. The local flexibility method is one promising method that requires only the first few fundamental modes to detect not only the location but also the extent of damage. Generally, the mode shapes in the lateral degree of freedom are extracted from lateral vibration signals and then used to detect damage for a beam structure. In this study, a new approach which employs the mode shapes in the rotary degree of freedom obtained from the macro-strain vibration signals to detect damage of a beam structure is proposed. In order to facilitate the application of mode shapes in the rotary degree of freedom for beam structures, the local flexibility method is modified and utilized. The proposed rotary approach is verified by numerical and experimental studies of simply supported beams. The results illustrate potential feasibility of the proposed new idea. Compared to the method that uses lateral measurements, the proposed rotary approach seems more robust to noise in the numerical cases considered. The sensor configuration could also be more flexible and customized for a beam structure. Primarily, the proposed approach seems more sensitive to damage when the damage is close to the supports of simply supported beams.

키워드

과제정보

연구 과제 주관 기관 : National Science Council of the Republic of China

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피인용 문헌

  1. Damage detection of rotating wind turbine blades using local flexibility method and long-gauge fiber Bragg grating sensors vol.29, pp.1, 2018, https://doi.org/10.1088/1361-6501/aa97f0