Fatigue Life Prediction of Fiber-Reinforced Composites Using Artificial Neural Networks

2009 ◽  
pp. 205-236
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Fatigue Life ◽  
Life Prediction ◽  
Fatigue Life Prediction ◽  
Fiber Reinforced Composites ◽  
Reinforced Composites ◽  
Fiber Reinforced ◽  
Artificial Neural

Stiffness and Strength Based Models for the Fatigue-Life Prediction of Continuously Fiber Reinforced Composites

2015 ◽  
Vol 825-826 ◽  
pp. 960-967 ◽  
Author(s):  
Julia Brunbauer ◽  
Gerald Pinter
Keyword(s):  
Fatigue Life ◽  
Life Prediction ◽  
Fatigue Life Prediction ◽  
Fiber Reinforced Composites ◽  
Reinforced Composites ◽  
Fiber Reinforced ◽  
Structural Applications ◽  
Strength Based ◽  
Novel Approaches ◽  
Life Predictions

The fatigue-life prediction of continuously fiber reinforced carbon/epoxy composites is of importance in order to support or partially replace the extensive amount of mechanical testing necessary for safe structural applications. However, the factors influencing the damage behaviour and the degradation of mechanical properties under real applications are numerous. To be able to predict fatigue-life of composites in an application-oriented way in the future, two novel approaches towards fatigue-life predictions have been studied by the authors in the last years. In this work, the promising approaches based on fatigue stiffness and fatigue strength and their potentials are introduced briefly.

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