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International Journal of Engineering، جلد ۲۶، شماره ۱۲، صفحات ۱۴۳۳-۱۴۴۴
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عنوان انگلیسی Crack Detection of Timoshenko Beams Using Vibration Behavior and Neural Network
چکیده انگلیسی مقاله Abstract: In this research, at first, the natural frequencies of a cracked beam are obtained analytically, then, location and depth of a crack in beam is identified by neural network method. The research is applied on a beam with an open crack for three different boundary conditions. For this purpose, at first, the natural frequencies of the cracked beam are obtained analytically, to get the examples for training neural network. Then, inversely, the neural network which has been trained by obtained the natural frequencies came from analytically analysis, is used for obtaining the location and depth of the crack. The effect of numbers of natural frequencies as input of the network was evaluated on the prediction accuracy. Results and measure of errors show that the neural network is a powerful method to determine the location and depth of crack. Also, increasing the mode numbers of the natural frequencies give rise the prediction accuracy to be increased
کلیدواژه‌های انگلیسی مقاله Crack detection, Timoshenko beam, Neural Network
نویسندگان مقاله Morteza Dardel |
, Babol Noshirvani university of technology

Mohammad Rakideh |
solid Mechanics, Babol Noshirvani University of Technology

نشانی اینترنتی http://www.ije.ir/article_72214_d96296ab79b2a0f3dbdffb000de283fc.pdf
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/409/article-409-2062813.pdf
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زبان مقاله منتشر شده en
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