TY - JOUR
ID - 72214
TI - Crack Detection of Timoshenko Beams Using Vibration Behavior and Neural Network
JO - International Journal of Engineering
JA - IJE
LA - en
SN - 1025-2495
AU - Dardel, Morteza
AU - Rakideh, Mohammad
AD - , Babol Noshirvani university of technology
AD - solid Mechanics, Babol Noshirvani University of Technology
Y1 - 2013
PY - 2013
VL - 26
IS - 12
SP - 1433
EP - 1444
KW - Crack detection
KW - Timoshenko beam
KW - Neural Network
DO -
N2 - 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
UR - https://www.ije.ir/article_72214.html
L1 - https://www.ije.ir/article_72214_d96296ab79b2a0f3dbdffb000de283fc.pdf
ER -