CIVILICA We Respect the Science
Publisher of Iranian Journals and Conference Proceedings
Paper
title

Dynamic Analysis of Multi-Directional Functionally Graded Panels and Comparative Modeling by ANN

Credit to Download: 1 | Page Numbers 13 | Abstract Views: 38
Year: 2016
COI code: JR_JSMA-8-3_002
Paper Language: English

How to Download This Paper

For Downloading the Fulltext of CIVILICA papers please visit the orginal Persian Section of website.

Authors Dynamic Analysis of Multi-Directional Functionally Graded Panels and Comparative Modeling by ANN

  H Khoshnoodi - Department of Mechanical Engineering, Razi University, Kermanshah
  M.H Yas - Department of Mechanical Engineering, Razi University, Kermanshah
  A Samadinejad - Department of Mechanical Engineering, Razi University, Kermanshah

Abstract:

In this paper dynamic analysis of multi-directional functionally graded panel is studied using a semi-analytical numerical method entitled the state-space based differential method (SSDQM) and comparative behavior modeling by artificial neural network (ANN) for different parameters. A semi-analytical approach which makes use the three-dimensional elastic theory and assuming the material properties having an exponent-law variation along the axial, radial direction or both directions, the frequency equations of free vibration of multi-directional functionally graded panels are derived. Numerical results are given to demonstrate the convergency and accuracy of the present method. Once the semi-analytical method is validated, an optimal ANN is selected, trained and tested by the obtained numerical results. In addition to the quantitative input parameters is considered as a qualitative input in NN modeling. The results of SSDQM and ANN are compared and the influence of longitude of the panel, material property graded index and circumferential wave number on the non-dimensional natural frequency of functionally graded material (FGM) panels are investigated.

Keywords:

Panel, Multi-directional functionally graded, Artificial Neural Network, Differential quadrature method, State-space method, Dynamic Analysis

Perma Link

https://www.civilica.com/Paper-JR_JSMA-JR_JSMA-8-3_002.html
COI code: JR_JSMA-8-3_002

how to cite to this paper:

If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Khoshnoodi, H; M.H Yas & A Samadinejad, 2016, Dynamic Analysis of Multi-Directional Functionally Graded Panels and Comparative Modeling by ANN, Journal of Solid Mechanics 8 (3), https://www.civilica.com/Paper-JR_JSMA-JR_JSMA-8-3_002.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Khoshnoodi, H; M.H Yas & A Samadinejad, 2016)
Second and more: (Khoshnoodi; Yas & Samadinejad, 2016)
For a complete overview of how to citation please review the following CIVILICA Guide (Citation)

Scientometrics

The University/Research Center Information:
Type: state university
Paper No.: 7854
in University Ranking and Scientometrics the Iranian universities and research centers are evaluated based on scientific papers.

Research Info Management

Export Citation info of this paper to research management softwares

New Related Papers

Iran Scientific Advertisment Netword

Share this paper

WHAT IS COI?

COI is a national code dedicated to all Iranian Conference and Journal Papers. the COI of each paper can be verified online.