Experimental and finite-element free vibration analysis and artificial neural network based on multi-crack diagnosis of non-uniform cross-section beam

Asmar, B.; Karimi, M.; Nazari, F.; Bolandgerami, A.

doi:10.22061/jcarme.2015.340

Document Type : Research Paper

Authors

¹ Department of Mechanical Engineering, Faculty of Engineering, Bu-Ali Sina University, Hamedan, Iran

² Center of Excellence for Fundamental Studies in Structural Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran

https://doi.org/10.22061/jcarme.2015.340

Abstract

Crack identification is a very important issue in mechanical systems, because it is a damage that if develops may cause catastrophic failure. In the first part of this research, modal analysis of a multi-cracked variable cross-section beam is done using finite element method. Then, the obtained results are validated usingthe results of experimental modal analysis tests. In the next part, a novel procedure is considered to identify the locations and depths of cracks in the multi-cracked variable cross-section beam using natural frequency variations of the beam based on artificial neural network and particle swarm optimization algorithm. In the proposed crack identification algorithm, four distinct neural networks are employed for the identification of locations and depths of both cracks. Back error propagation and particle swarm optimization algorithms are used to train the networks. Finally, the results of these two methods are evaluated.

Keywords

20.1001.1.22287922.2015.5.1.1.1

Main Subjects

Vibration

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Journal of Computational & Applied Research in Mechanical Engineering (JCARME)

Experimental and finite-element free vibration analysis and artificial neural network based on multi-crack diagnosis of non-uniform cross-section beam

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Volume 5, Issue 1 - Serial Number 1
December 2015
Pages 1-11

Experimental and finite-element free vibration analysis and artificial neural network based on multi-crack diagnosis of non-uniform cross-section beam

References

References

Send comment about this article

Volume 5, Issue 1 - Serial Number 1December 2015Pages 1-11

Volume 5, Issue 1 - Serial Number 1
December 2015
Pages 1-11