The mechanical property prediction of fibre-reinforced composite materials based on a new generating random fibre distributions method
- DOI
- 10.2991/ic3me-15.2015.99How to use a DOI?
- Keywords
- represent volume element (RVE), fibre distributions, image processing, statistical description, composite, elastic properties prediction.
- Abstract
This paper focuses on the issues of the fibre-reinforced composite material microstructure and presents a new numerical method to generate random fibre distributions and predict the macroscopic mechanical properties of composite materials based on the represent volume element (RVE). The method, named the random sequence generation algorithm (RSGA), obtains fibre radius distributions and positional relationships by image processing to generate a statistical equivalence RVE effectively. On this basis, the composite material microstructure finite element model is established to predict its macroscopic elastic properties by Python language in ABAQUS. Comparative analysis shows the algorithm is in good agreement with experimental results and has the statistical equivalence herein. The research of this paper on the algorithm for composite materials of fibre distributions provides a useful alternative to generate random numerical models that can be used in micromechanical analysis of composite materials.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Heyuan Huang AU - Meiying Zhao AU - Yonghui Dai AU - Yonghui Wang PY - 2015/08 DA - 2015/08 TI - The mechanical property prediction of fibre-reinforced composite materials based on a new generating random fibre distributions method BT - Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering PB - Atlantis Press SP - 496 EP - 504 SN - 2352-5401 UR - https://doi.org/10.2991/ic3me-15.2015.99 DO - 10.2991/ic3me-15.2015.99 ID - Huang2015/08 ER -