An empirical model for fatigue behavior prediction of glass fibre-reinforced plastic (GFRP) composites for various stress ratios and test frequencies

Epaarachchi, Jayantha A. and Clausen, Philip D. (2003) An empirical model for fatigue behavior prediction of glass fibre-reinforced plastic (GFRP) composites for various stress ratios and test frequencies. Composites Part A: Applied Science and Manufacturing, 34 (4). pp. 313-326. ISSN 1359-835X

Abstract

Current models used to predict the fatigue life of glass fibre-reinforced plastic composites do not accurately consider the effects of load stress ratios and load frequencies. These models usually require significant amount of experimental data to establish a set of characteristic fatigue curves for a given composite. This paper proposes a fatigue model for glass fibre-reinforced plastic composites that includes the non-linear effect of stress ratio and load frequency on the fatigue life. The model can be used to predict the fatigue behavior of a composite material using a well-defined minimum number of tests. Fatigue data from the literature and selected research laboratories were used to test the model. Predictions were found to be in good agreement with all experimental data adequately accounting for the influence of test frequency and stress ratio on the fatigue life of composites.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version not able to be displayed according to Publisher's policy.
Depositing User: Dr Jayantha Epaarachchi
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - No Department
Date Deposited: 07 Nov 2007 12:58
Last Modified: 02 Jul 2013 22:50
Uncontrolled Keywords: fatigue; residual/internal stress; strength; damage mechanics; stress ratio effect
Fields of Research (FOR2008): 09 Engineering > 0912 Materials Engineering > 091202 Composite and Hybrid Materials
Identification Number or DOI: doi: 10.1016/S1359-835X(03)00052-6
URI: http://eprints.usq.edu.au/id/eprint/3196

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