Journal of Solid Mechanics, Volume (5), No (1), Year (2013-10) , Pages (14-21)

Title : ( Double Cracks Identification in Functionally Graded Beams Using Artificial Neural Network )

Authors: Foad Nazari , Mohammad Hossein Abolbashari ,

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This study presents a new procedure based on Artificial Neural Network (ANN) for identification of double cracks in Functionally Graded Beams (FGBs). A cantilever beam is modeled using Finite Element Method (FEM) for analyzing a double-cracked FGB and evaluation its first four natural frequencies for different cracks depths and locations. The obtained FEM results are verified against available references. Furthermore, four Multi-Layer Perceptron (MLP) neural networks are employed for identification of locations and depths of both cracks of FGB. Back- Error Propagation (BEP) method is used to train the ANNs. The accuracy of predicted results shows that the proposed procedure is suitable for double cracks identification detection in FGBs.

Keywords

Double cracks; Functionally graded beam; Artificial neural network; Model
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@article{paperid:1036966,
author = {Nazari, Foad and Abolbashari, Mohammad Hossein},
title = {Double Cracks Identification in Functionally Graded Beams Using Artificial Neural Network},
journal = {Journal of Solid Mechanics},
year = {2013},
volume = {5},
number = {1},
month = {October},
issn = {2008-3505},
pages = {14--21},
numpages = {7},
keywords = {Double cracks; Functionally graded beam; Artificial neural network; Model analysis},
}

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%0 Journal Article
%T Double Cracks Identification in Functionally Graded Beams Using Artificial Neural Network
%A Nazari, Foad
%A Abolbashari, Mohammad Hossein
%J Journal of Solid Mechanics
%@ 2008-3505
%D 2013

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