Crack Detection of Fixed-Simply Supported Euler Bernoulli Beam Using Elman Networks

Authors

  • Seyed Sina Kourehli Journal of Artificial Intelligence in Electrical Engineering
  • Siamak Ghadimi Journal of Artificial Intelligence in Electrical Engineering,
Abstract:

In this paper, the crack detection and depth ratio estimation method are presented in beamlikestructures using Elman Networks. For this purpose, by using the frequencies of modes asinput, crack depth ratio of each element was detected as output. Performance of the proposedmethod was evaluated by using three numerical scenarios of crack for fixed-simply supportedbeam consisting of a single cracked, two cracked and three cracked beams have beeninvestigated. The results indicate that the proposed method is effective in the crack detection andestimation of crack depth ratio in beam-like structures.

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Journal title

volume 4  issue 16

pages  23- 28

publication date 2016-03-01

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