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
1998
Inglese
Key Engineering Materials
144
231
240
10
Esperti anonimi
info:eu-repo/semantics/bookPart
2.1 Contributo in volume (Capitolo o Saggio)
Aymerich, Francesco; Serra, M.
2 Contributo in Volume::2.1 Contributo in volume (Capitolo o Saggio)
2
268
none
Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Questionnaire and social

Share on:
Impostazioni cookie