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Predicting flexural properties of carbon fibre reinforced thermoplastics sheet moulding compounds

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conference contribution
posted on 2023-03-27, 13:43 authored by Xiaodong Xu, Andre JesusAndre Jesus, Yi Wan, Qian Gao, Xiaohang Tong, Ruochen Xu, Zihao Zhao, Jun Takahashi
In this paper, a stochastic morphological modelling framework previously developed for tension is further developed to predict flexural properties of Carbon Fibre Reinforced Thermoplastic Sheet Moulding Compound (CFRTP-SMC). The flexural modulus is predicted using a Monte Carlo simulation and classical laminate theory, and the flexural strength is predicted by using Weibull theory which accounts for fibre discontinuities. The results are validated against the experimental results from the Takahashi Lab of the University of Tokyo. The model will enable rapid designs of CFRTP-SMC structures with less testing, leading to potential cost reduction in structural applications.

Funding

Vice Chancellor’s Early Career Research Development Awards from the University of the West of England in the UK

Royal Society (IEC\R3\213017)

Japan Society for the Promotion of Science (JPJSBP 120225702)

History

School

  • Architecture, Building and Civil Engineering

Published in

Proceedings of the 20th European Conference on Composite Materials: Composites Meet Sustainability; Vol 4 – Modeling and Prediction

Pages

130 - 135

Source

20th European Conference on Composite Materials (ECCM20)

Publisher

EPFL Lausanne, Composite Construction Laboratory

Version

  • VoR (Version of Record)

Rights holder

© ECCM20/The publishers

Publisher statement

The Proceedings are published under the CC BY-NC 4.0 license in electronic format only, by the Publishers. The CC BY-NC 4.0 license permits non-commercial reuse, transformation, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial reuse, please contact the authors. For further details please read the full legal code at http://creativecommons.org/licenses/by-nc/4.0/legalcode

Publication date

2022-12-12

Copyright date

2022

ISBN

9782970161400

Language

  • en

Editor(s)

Anastasios P. Vassilopoulos; Véronique Michaud

Location

Lausanne, Switzerland

Event dates

26th June 2022 - 30th June 2022

Depositor

Dr Andre Jesus. Deposit date: 25 March 2023

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