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Research Papers

Fatigue Life Prediction of Different Fiber-Reinforced Composites Using Polynomial Classifiers

[+] Author and Article Information
H. El Kadi1

College of Engineering, American University of Sharjah, P.O. Box 26666, Sharjah, UAEhkadi@aus.edu

I. M. Deiab

College of Engineering, American University of Sharjah, P.O. Box 26666, Sharjah, UAEideiab@aus.edu

M. Al-Assadi

College of Engineering, American University of Sharjah, P.O. Box 26666, Sharjah, UAEmohamed.a@habtoor-murrayroberts-jv.ae

1

Corresponding author.

J. Eng. Mater. Technol 133(2), 021022 (Mar 23, 2011) (5 pages) doi:10.1115/1.4003566 History: Received July 10, 2010; Revised January 20, 2011; Published March 23, 2011; Online March 23, 2011

Polynomial classifiers (PC) have already been shown to produce good fatigue life prediction for a specific composite under a variety of fatigue loading conditions. In this study, polynomial classifiers are used to predict the fatigue life in other composite materials not used in training. Different composite materials with a variety of fiber orientation angles are considered. The predictions obtained using PC are compared with the experimental results and are shown to be promising.

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Copyright © 2011 by American Society of Mechanical Engineers
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References

Figures

Grahic Jump Location
Figure 1

Fatigue life prediction of Scotchply 1003 glass/epoxy using selected higher order PC (a) Case 4, (b) Case 14, and (c) Case 18

Grahic Jump Location
Figure 2

Fatigue life prediction of E-glass/polyester using selected higher order PC (a) Case 2, (b) Case 14, and (c) Case 18

Grahic Jump Location
Figure 3

Fatigue life prediction of AS/3501-5A graphite/epoxy using selected higher order PC (a) Case 4, (b) Case 13, and (c) Case 18

Grahic Jump Location
Figure 4

Fatigue life prediction for T800H/2500 carbon/epoxy using selected higher order PC (a) Case 2, (b) Case 6, and (c) Case 14

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