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Rapid prediction of fibre-dominant tensile failure in randomly oriented strands

Jesus, André; Xu, Xiaodong

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Authors

André Jesus

Dr Xiaodong Xu Xiaodong.Xu@uwe.ac.uk
Senior Lecturer in Engineering Principles



Contributors

Abstract

A stochastic morphological modelling framework has been established to predict the tensile behaviour of Randomly Oriented Strands made of ultra-thin Carbon Fibre Reinforced Thermoplastic prepreg tapes. The tape properties from their distributions are generated in a Monte Carlo simulation. The Young’s modulus of a laminate is accurately predicted using classical laminate theory. Fibre-dominant tensile failure is also accurately predicted in Carbon Fibre Reinforced Thermoplastics Sheet Moulding Compounds using Weibull theory. Material discontinuity is accounted for via the introduction of a stress concentration factor, as a result of tape overlaps. The predicted tensile strength values and scatter were found to increase with increasing tape length, which agrees well with literature data, and thus demonstrates the reliability of the proposed modelling framework. The rapid modelling framework is well-suited for application in structures.

Citation

Jesus, A., & Xu, X. (2023). Rapid prediction of fibre-dominant tensile failure in randomly oriented strands. Journal of Reinforced Plastics and Composites, 42(5-6), 205-212. https://doi.org/10.1177/07316844221107927

Journal Article Type Article
Acceptance Date May 30, 2022
Online Publication Date Jun 20, 2022
Publication Date Mar 1, 2023
Deposit Date Jun 6, 2022
Publicly Available Date Jun 21, 2022
Journal Journal of Reinforced Plastics and Composites
Print ISSN 0731-6844
Electronic ISSN 1530-7964
Publisher SAGE Publications
Peer Reviewed Peer Reviewed
Volume 42
Issue 5-6
Pages 205-212
DOI https://doi.org/10.1177/07316844221107927
Keywords Discontinuous reinforcement; Strand; Strength; Moulding compounds; Carbon fibre reinforced thermoplastics
Public URL https://uwe-repository.worktribe.com/output/9611728
Publisher URL https://journals.sagepub.com/doi/10.1177/07316844221107927

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