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

Document Type: Original Article


1 Journal of Artificial Intelligence in Electrical Engineering,

2 Journal of Artificial Intelligence in Electrical Engineering


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