Crack Detection of Fixed-Simply Supported Euler Bernoulli Beam Using Elman Networks
الموضوعات : journal of Artificial Intelligence in Electrical Engineering
Siamak Ghadimi
1
(Journal of Artificial Intelligence in Electrical Engineering,)
Seyed Sina Kourehli
2
(Journal of Artificial Intelligence in Electrical Engineering)
الکلمات المفتاحية: frequency, Crack Detection, Beam-like structures, Elman Networks,
ملخص المقالة :
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.
