crack detection of fixed-simply supported euler bernoulli beam using elman networks

نویسندگان

siamak ghadimi

journal of artificial intelligence in electrical engineering, seyed sina kourehli

journal of artificial intelligence in electrical engineering

چکیده

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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عنوان ژورنال:
journal of artificial intelligence in electrical engineering

جلد ۴، شماره ۱۶، صفحات ۲۳-۲۸

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