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A stochastic modelling framework for predicting flexural properties of ultra-thin randomly oriented strands.

Authors :
Xu, Xiaodong
Jesus, André
Wan, Yi
Takahashi, Jun
Source :
Advanced Composite Materials. May2024, p1-15. 15p. 11 Illustrations, 1 Chart.
Publication Year :
2024

Abstract

A stochastic modelling framework is developed to predict the flexural properties of high-strength sheet moulding compounds made of randomly oriented ultra-thin carbon fibre-reinforced thermoplastic prepreg tapes. The model enables reliable designs using ultra-thin randomly oriented strands with less testing, leading to potential applications in automotive primary structures. The stochastic model is based on a Monte Carlo simulation. The flexural modulus is predicted using classical laminate theory, while the flexural strength is predicted by following a Weibull distribution. Fibre discontinuities are considered through stress concentrations introduced by tape overlaps. The results are validated against new 3-point bending and previously reported 4-point bending experimental results. A scaling effect on strength and scatter is predicted, and its implications for structural applications are also discussed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09243046
Database :
Academic Search Index
Journal :
Advanced Composite Materials
Publication Type :
Academic Journal
Accession number :
177261003
Full Text :
https://doi.org/10.1080/09243046.2024.2351667