An Artificial Neural Network Approach to Fatigue Crack Growth

Abstract:

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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 et al., "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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Price:

$35.00

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