Numerical modelling of hybrid elastomeric composite panels subjected to blast loadings

Tran, J 2016, 'Numerical modelling of hybrid elastomeric composite panels subjected to blast loadings', Composite Structures, vol. 153, pp. 108-122.

Document type: Journal Article
Collection: Journal Articles

Title Numerical modelling of hybrid elastomeric composite panels subjected to blast loadings
Author(s) Tran, J
Year 2016
Journal name Composite Structures
Volume number 153
Start page 108
End page 122
Total pages 15
Publisher Elsevier Ltd.
Abstract Designing lightweight composite panels that can resist extreme impulsive loadings is of great interest for defence and infrastructure protective applications. In this work, a finite element model is developed to understand the deformation and failure mechanisms of a multilayered elastomer/fibre-reinforced polymer (FRP) composite panel under blast. Fibre (E-glass fibre) and matrix (vinylester resin) damage and degradation of individual unidirectional composite laminas are modelled using the Hashin failure model. The delamination between composite laminates is captured by three-dimensional bilinear cohesive elements. A thin elastomer (polyurea) layer is applied to the back face of the panel to reduce damage to the composite laminates. The predicted deformation histories, evolutions of fibre/matrix damage patterns, and inter-lamina delamination are captured and compared between monolithic and hybrid elastomer/composite panels. The model reveals the important role of the elastomer layer in improving panel performance by effectively mitigating the transmitted impulse to the back face of the panel and reducing delamination, while maintaining overall stiffness.
Subject Composite and Hybrid Materials
Numerical Modelling and Mechanical Characterisation
Solid Mechanics
Keyword(s) Blast loading
Composite panel
Numerical modelling
DOI - identifier 10.1016/j.compstruct.2016.05.103
Copyright notice © 2016 Elsevier Ltd.
ISSN 0263-8223
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Citation counts: TR Web of Science Citation Count  Cited 13 times in Thomson Reuters Web of Science Article | Citations
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