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Mahdi Karimi

Mahdi Karimi

Academic rank: Assistant Professor
ORCID:
Education: PhD.
ScopusId: 56513315700
HIndex:
Faculty: Faculty of Engineering
Address:
Phone: 08138292505-8

Research

Title
Large amplitude vibration prediction of rectangular plates by an optimal artificial neural network ANN
Type
JournalPaper
Keywords
Nonlinear vibration,Simply-supported,Rectangular laminated plates,Artificial neural Network
Year
2014
Journal Journal of Computational and Applied Research in Mechanical Engineering
DOI
Researchers Mahdi Karimi ، alireza Shooshtari ،

Abstract

In this paper, nonlinear equations of motion for laminated composite rectangular plates based on the first order shear deformation theory were derived. Using a perturbation method, the nonlinear equation of motion was solved and analytical relations were obtained for natural and nonlinear frequencies. After proving the validity of the obtained analytical relations, as an alternative and simple modeling technique, ANN was also employed to model the laminated rectangular plates and predict effects of different parameters on the natural and nonlinear frequencies of the plates. In this respect, an optimal ANN was selected and trained by training data sets obtained from analytical method and also tested by testing data sets. The obtained results were in good agreement with the analytical and published results.