Paper Title:
An Artificial Neural Network Approach to Fatigue Crack Growth
  Abstract

This paper proposes a new three-layer artificial neural network (ANN) to predict the fatigue crack length under constant amplitude mode I cyclic loading. It is shown that the proposed model predicts the crack length with an error of less than 0.05%, and more accurately than the current commonly-used models.

  Info
Periodical
Edited by
George Ferguson, Ashvin Thambyah, Michael A Hodgson and Kelly Wade
Pages
3-6
DOI
10.4028/www.scientific.net/AMR.275.3
Citation
K. Zarrabi, W.W. Lu, A.K. Hellier, "An Artificial Neural Network Approach to Fatigue Crack Growth", Advanced Materials Research, Vol. 275, pp. 3-6, 2011
Online since
July 2011
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