Prediction of Matrix Failure in Fibre Reinforced Polymer Composites
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 di...
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Format: | Article |
Language: | English |
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Wiley
2013-01-01
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Series: | Journal of Engineering |
Online Access: | http://dx.doi.org/10.1155/2013/973026 |
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author | J. Wang W. K. Chiu |
author_facet | J. Wang W. K. Chiu |
author_sort | J. Wang |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-4a6051f53dca49a8a5c25d1d927018fe |
institution | Kabale University |
issn | 2314-4904 2314-4912 |
language | English |
publishDate | 2013-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Engineering |
spelling | doaj-art-4a6051f53dca49a8a5c25d1d927018fe2025-02-03T01:32:11ZengWileyJournal of Engineering2314-49042314-49122013-01-01201310.1155/2013/973026973026Prediction of Matrix Failure in Fibre Reinforced Polymer CompositesJ. Wang0W. K. Chiu1Air Vehicles Division, Defence Science and Technology Organisation, 506 Lorimer Street, Fishermans Bend, VIC 3207, AustraliaSchool of Mechanical Engineering, Monash University, Clayton, VIC 3800, AustraliaRecent 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.http://dx.doi.org/10.1155/2013/973026 |
spellingShingle | J. Wang W. K. Chiu Prediction of Matrix Failure in Fibre Reinforced Polymer Composites Journal of Engineering |
title | Prediction of Matrix Failure in Fibre Reinforced Polymer Composites |
title_full | Prediction of Matrix Failure in Fibre Reinforced Polymer Composites |
title_fullStr | Prediction of Matrix Failure in Fibre Reinforced Polymer Composites |
title_full_unstemmed | Prediction of Matrix Failure in Fibre Reinforced Polymer Composites |
title_short | Prediction of Matrix Failure in Fibre Reinforced Polymer Composites |
title_sort | prediction of matrix failure in fibre reinforced polymer composites |
url | http://dx.doi.org/10.1155/2013/973026 |
work_keys_str_mv | AT jwang predictionofmatrixfailureinfibrereinforcedpolymercomposites AT wkchiu predictionofmatrixfailureinfibrereinforcedpolymercomposites |