Dr Ray Wan L.Wan@hull.ac.uk
Lecturer in Mechanical Engineering
Carbon fibre reinforced polymers (CFRP) are prone to structural damage during extreme events such as fire. Typically, modelling the effect of fire on CFRP structures is carried out through mesoscale analysis to predict overall structural performance. In this study, Finite Element (FE) modelling has been conducted to investigate the effects of fire on CFRP specimens at both meso- and micro-scales. The mesoscale analysis informs the microscale analysis to examine the effects of fire on each constituent of the material. A comparison of thermal analysis at the meso- and micro-scales reveals less than a 6% difference in the predicted nodal temperature. For the first time, fire-induced progressive failure analysis has been conducted on the fibres, matrix, and fibre/matrix interface of representative plies within the composite laminates. Fibre breakage, matrix cracking, and interface debonding were accurately captured using representative volume element (RVE) models under thermo-mechanical loading, showing qualitatively excellent agreement with experimental data.
Wan, L., & Millen, S. L. (2024). Multiscale modelling of CFRP composites exposed to thermo-mechanical loading from fire. Composites Part A: Applied Science and Manufacturing, 187, Article 108481. https://doi.org/10.1016/j.compositesa.2024.108481
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 17, 2024 |
Online Publication Date | Sep 28, 2024 |
Publication Date | 2024-12 |
Deposit Date | Oct 3, 2024 |
Publicly Available Date | Oct 8, 2024 |
Journal | Composites Part A: Applied Science and Manufacturing |
Print ISSN | 1359-835X |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 187 |
Article Number | 108481 |
DOI | https://doi.org/10.1016/j.compositesa.2024.108481 |
Keywords | Polymer-matrix composites (PMCs); Thermomechanical analysis; Representative volume element (RVE) Modelling; Finite element analysis (FEA) |
Public URL | https://hull-repository.worktribe.com/output/4860692 |
Published article
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Copyright Statement
© 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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