Title of article :
Crack Detection of Fixed-Simply Supported Euler Bernoulli Beam Using Elman Networks
Author/Authors :
Ghadimi، Siamak نويسنده , , Kourehli، Sina نويسنده ,
Issue Information :
فصلنامه با شماره پیاپی سال 2016
Abstract :
Abstract
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.
Keywords :
Beam-like structures , Crack detection , Frequency , Elman networks
Journal title :
Journal of Artificial Intelligence in Electrical Engineering
Journal title :
Journal of Artificial Intelligence in Electrical Engineering