In this paper a first attempt on the use of a neural network for the prediction of fatigue strength of composite materials is carried out. First some information about the composite used are given: it is on a graphite-peek composite with an average fibre content of 63%. Next a brief explanation about neural networks and how they work are given; in particular we have used a back propagation neural network. Finally the results of the application of the neural network to our problem are discussed; in particular we have established that the neural network technique is a very attractive tool to model a set of experimetal data, but it should be used very carefully to avoid wrong predictions
Prediction of fatigue strength of composite materials by means of neural networks
AYMERICH, FRANCESCO;
1998-01-01
Abstract
In this paper a first attempt on the use of a neural network for the prediction of fatigue strength of composite materials is carried out. First some information about the composite used are given: it is on a graphite-peek composite with an average fibre content of 63%. Next a brief explanation about neural networks and how they work are given; in particular we have used a back propagation neural network. Finally the results of the application of the neural network to our problem are discussed; in particular we have established that the neural network technique is a very attractive tool to model a set of experimetal data, but it should be used very carefully to avoid wrong predictions
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