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Numerical modelling of the compression-after-impact performance of a composite sandwich panel

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journal contribution
posted on 2015-04-10, 14:58 authored by Chris James, Andrew WatsonAndrew Watson, Paul CunninghamPaul Cunningham
A numerical model for the quasi-static indentation and compression-after-impact behaviour of a composite sandwich panel is presented, using cohesive surfaces for interlaminar damage prediction. Intra-laminar damage and core crushing is also included. The models show generally good agreement with experimental results for residual strength, performing best when two cohesive surfaces are used in the impacted skin, but tend to over-estimate the undamaged panel strength. Damage extent predictions from the indentation phase of the analysis are often quite poor, but do not necessarily correlate with the accuracy of the strength estimates. The model provides a promising basis for further development.

Funding

This work was funded by the Department of Automotive and Aeronautical Engineering at Loughborough University, as part of a PhD research project.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Journal of Sandwich Structures and Materials

Citation

JAMES, C.T., WATSON, A. and CUNNINGHAM, P., 2015. Numerical modelling of the compression-after-impact performance of a composite sandwich panel. Journal of Sandwich Structures and Materials, 17(4), pp. 376-398.

Publisher

SAGE Publications / © The Author(s)

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2015

Notes

This article was published in the Journal of Sandwich Structures and Materials [SAGE Publications / © The Author(s)]. The definitive version is available at: http://dx.doi.org/10.1177/1099636215576475

ISSN

1530-7972

Language

  • en