| Issue |
MATEC Web of Conferences
Volume 16, 2014
CSNDD 2014 - International Conference on Structural Nonlinear Dynamics and Diagnosis
|
|
|---|---|---|
| Article Number | 08003 | |
| Number of page(s) | 4 | |
| Section | Analytical method in nonlinear dynamics | |
| DOI | https://doi.org/10.1051/matecconf/20141608003 | |
| Published online | 01 September 2014 | |
Reduced-order model for non-linear dynamic analysis of viscoelastic sandwich structures in time domain
1 Preparatory Engineering Institutes of Nabeul, SDMESM Group, University of Carthage, Nabeul, Tunisia
2 FEMTO-ST Institute UMR 6174, Department of Applied Mechanics, 24 Chemin de L’Epitaphe, Besançon, France
The present paper deals with the analysis of the dynamic behavior of viscoelastic sandwich structures with localized nonlinearities. The Golla-Hughes Mac Tavish (GHM) viscoelastic model is used and the finite elements procedure is established to derive both linear and non-linear equations of motion. This model increase the order of the differential equations of motion through the addition of dissipative coordinates, which complicate further the numerical resolution with the addition of local nonlinearities in the junctions of the assembled structures. Hence, a reduced-order model is proposed to enhance the control of the dynamic behavior of such structures incorporating viscoelastic materials especially for structures with large finite element model.
© Owned by the authors, published by EDP Sciences, 2014
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.