Prediction of Matrix Failure in Fibre Reinforced Polymer Composites
Joint Authors
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-27
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Recent development has enabled fibre and matrix failure in a fibre reinforced composite material to be predicted separately.
Matrix yield/failure prediction is based on a Von Mises strain and first strain invariant criteria.
Alternative matrix failure criteria for enhanced prediction accuracy are discussed in this paper.
The proposed failure envelope formed with basic failure criteria intersects with uniaxial compression, pure shear and uniaxial tensile test data points smoothly.
For failure of typical neat resin, significant improvement of prediction accuracy compared with measured material data is demonstrated.
For a unit cell with a fibre and surrounding matrix with typical material properties, a FEM analysis indicates a significant improvement in prediction accuracy in the pure shear load case and a marginal improvement in the biaxial tensile load case.
This paper also provided a preliminary discussion about the issues when material nonlinearity of the matrix material is involved.
American Psychological Association (APA)
Wang, J.& Chiu, W. K.. 2013. Prediction of Matrix Failure in Fibre Reinforced Polymer Composites. Journal of Engineering،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-512618
Modern Language Association (MLA)
Wang, J.& Chiu, W. K.. Prediction of Matrix Failure in Fibre Reinforced Polymer Composites. Journal of Engineering No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-512618
American Medical Association (AMA)
Wang, J.& Chiu, W. K.. Prediction of Matrix Failure in Fibre Reinforced Polymer Composites. Journal of Engineering. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-512618
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-512618