| Issue |
E3S Web Conf.
Volume 601, 2025
The 3rd International Conference on Energy and Green Computing (ICEGC’2024)
|
|
|---|---|---|
| Article Number | 00082 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/e3sconf/202560100082 | |
| Published online | 16 January 2025 | |
Spectral method for bending analysis of rectangular functionally graded plates
1 Laboratory of Mechanical Engineering, Faculty of Sciences and Technology Fez, Sidi Mohamed Ben Abdellah University, Fez, Morocco
2 Hassan First University of Settat, Faculty of Sciences and Techniques, 26000, Settat, Morocco
3 Hassan First University of Settat, National School of Applied Sciences, LISA Laboratory, Berrechid 26100, Morocco
4 Mathematics, Computer Science and Communication Systems Laboratory, National School of Applied Sciences of Safi, Cadi Ayyad University, Sidi Bouzid, BP 63, Safi - 46000, Morocco
* e-mail: amina.hammou@usmba.ac.ma
This study investigates the bending behavior of functionally graded rectangular plates using the spectral collocation method to offer precise modeling. We apply the First-order Shear Deformation Theory (FSDT) to accurately capture the effects of shear deformation in our plate behavior models. The effectiveness of the proposed method is demonstrated by a comparison of the results obtained with those of literature.
Key words: Functionally graded materials / First order shear deformation Theory / Asymptotic numerical method / Bending analysis
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.