Simplified low order composite laminate damping predictions via multi-layer homogenisation
File(s)Simplified Composite Damping Predictions_3.pdf (7.87 MB)
Accepted version
Author(s)
Mace, Thomas
Taylor, Jonathan
Schwingshackl, Christoph
Type
Journal Article
Abstract
The increased adoption of composite laminates in modern engineering requires advancement in the prediction of their dynamic behaviour. Current damping prediction techniques can be prohibitively time consuming and computationally expensive for application during early design stages, and to abstract three-dimensional geometries. A novel, lower order methodology for damping prediction is proposed, which uses a higher-level of homogenisation than established composite damping prediction techniques to provide a reasonable damping prediction without requiring a detailed model of a laminate’s internal structure. Principal loss factor components are harvested from a set of base layup specimens and used to predict the modal loss factors and frequency response of a set of geometrically abstract single layup validation specimens. A numerical study shows the low-order approach to produce approximately equivalent strain energy distributions to a well-established ‘layered’ approach at reduced computational cost and for a third of the CPU time. Furthermore, the damping and amplitude predictions produced by novel methodology are shown to closely match experimental measurements, providing scope to expand the application of this approach to more complex, multi-layup laminate components.
Date Issued
2022-04-01
Date Acceptance
2022-01-09
Citation
Composites Part B: Engineering, 2022, 234, pp.1-14
ISSN
0961-9526
Publisher
Elsevier
Start Page
1
End Page
14
Journal / Book Title
Composites Part B: Engineering
Volume
234
Copyright Statement
© 2022 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Identifier
https://www.sciencedirect.com/science/article/pii/S1359836822000270?via%3Dihub
Subjects
Materials
09 Engineering
Publication Status
Published
Date Publish Online
2022-01-22