DOI QR코드

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Damage detection in truss structures using a flexibility based approach with noise influence consideration

  • 투고 : 2007.04.09
  • 심사 : 2007.08.17
  • 발행 : 2007.11.30

초록

The damage detection process may appear difficult to be implemented for truss structures because not all degrees of freedom in the numerical model can be experimentally measured. In this context, the damage locating vector (DLV) method, introduced by Bernal (2002), is a useful approach because it is effective when operating with an arbitrary number of sensors, a truncated modal basis and multiple damage scenarios, while keeping the calculation in a low level. In addition, the present paper also evaluates the noise influence on the accuracy of the DLV method. In order to verify the DLV behavior under different damages intensities and, mainly, in presence of measurement noise, a parametric study had been carried out. Different excitations as well as damage scenarios are numerically tested in a continuous Warren truss structure subjected to five noise levels with a set of limited measurement sensors. Besides this, it is proposed another way to determine the damage locating vectors in the DLV procedure. The idea is to contribute with an alternative option to solve the problem with a more widespread algebraic method. The original formulation via singular value decomposition (SVD) is replaced by a common solution of an eigenvector-eigenvalue problem. The final results show that the DLV method, enhanced with the alternative solution proposed in this paper, was able to correctly locate the damaged bars, using an output-only system identification procedure, even considering small intensities of damage and moderate noise levels.

키워드

참고문헌

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피인용 문헌

  1. Theoretical and experimental modal analysis of a cantilever steel beam with a tip mass vol.223, pp.7, 2009, https://doi.org/10.1243/09544062JMES1390
  2. A damage identification method for truss structures using a flexibility-based damage probability index and differential evolution algorithm vol.24, pp.8, 2016, https://doi.org/10.1080/17415977.2015.1101761
  3. A hybrid approach for damage detection of structures under operational conditions vol.332, pp.18, 2013, https://doi.org/10.1016/j.jsv.2013.03.017
  4. Damage detection under ambient vibration by harmony search algorithm vol.39, pp.10, 2012, https://doi.org/10.1016/j.eswa.2012.02.147