MATEC Web Conf.
Volume 360, 2022The 2nd International Conference on Non-Destructive Evaluation of Composite Structures (NDECS’2022)
|Number of page(s)||4|
|Published online||24 June 2022|
Prediction of the macroscopic behavior of multi-layered elastic composites
Mathematical Modeling and Control, Faculty of Sciences and Techniques, Abdelmalek Essaadi University, Tangier, Morocco
2 Department of Physics, Faculty of Sciences, Abdelmalek Essaadi University, Tetouan, Morocco
* Corresponding author: email@example.com
In this work, elastic fiber reinforced composite materials consisting of several layers are considered. Each layer is assumed to be a unidirectional fiber reinforced composite. The interface between layers is assumed to be perfect, which means the displacement and the traction through interfaces are continuous. To predict the overall behavior of the considered composite a two step homogenization procedure is considered. In the first step, effective properties of fiber reinforced layers are predicted based on the Mori-Tanaka micromechanical model and in the second one, a general matrix method is constructed to obtain the macroscopic properties of multi-layered composites. Analytical expressions of effective properties, for reinforced composites constituted with arbitrary N layers, are derived. The combination of the Mori-Tanaka method with the general matrix method allowed obtaining the effective properties of reinforced elastic multi-layered composites.
© The Authors, published by EDP Sciences, 2022
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.