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Ramazan-Ali Jafari-Talookolaei

Researcher at Babol Noshirvani University of Technology

Publications -  60
Citations -  559

Ramazan-Ali Jafari-Talookolaei is an academic researcher from Babol Noshirvani University of Technology. The author has contributed to research in topics: Beam (structure) & Vibration. The author has an hindex of 12, co-authored 52 publications receiving 359 citations. Previous affiliations of Ramazan-Ali Jafari-Talookolaei include Islamic Azad University & Sharif University of Technology.

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Large amplitudes free vibrations and post-buckling analysis of unsymmetrically laminated composite beams on nonlinear elastic foundation

TL;DR: In this paper, the authors present efficient and accurate analytical expressions for large amplitude free vibration and post-buckling analysis of unsymmetrically laminated composite beams on elastic foundation, where the effects of different parameters on the ratio of nonlinear to linear natural frequency of beams and the postbuckling load-deflection relation are studied.
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Semi-analytical solution for the free vibration analysis of generally laminated composite Timoshenko beams with single delamination

TL;DR: In this paper, a semi-analytical solution for the natural frequencies and mode shapes is presented by incorporating the constraint conditions using the method of Lagrange multipliers, and the results are compared with the results from other available references.
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Vibration characteristics of generally laminated composite curved beams with single through-the-width delamination

TL;DR: In this article, the authors presented analytical and finite element solutions for free vibration analysis of delaminated composite curved beams by taking into account the effects of shear deformation, rotary inertia, deepness term and material coupling.
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Dynamics of a Delaminated Timoshenko Beam Subjected to a Moving Oscillatory Mass

TL;DR: In this paper, the authors presented the dynamic response of a delaminated composite beam under the action of moving oscillatory mass, where the Poisson's effect, shear deformation and rotary inertia have been considered in the analysis.
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Damage Detection on Rectangular Laminated Composite Plates using Wavelet based Convolutional Neural Network Technique

TL;DR: Results show that the proposed WT-CNN can predict and detect the location of damages in R LCPs with high accuracy and eliminate problems of trial and error simulations for future input signals of damaged RLCPs.