期刊
INTERNATIONAL JOURNAL OF FATIGUE
卷 33, 期 3, 页码 313-322出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ijfatigue.2010.09.003
关键词
Fatigue; Lognormal distribution; Step stress; Neural networks; Evolutionary computation
资金
- Fundacao de Amparo a Pesquisa do Estado de Minas Gerais
In this work a novel approach to fatigue life prediction under step-stress conditions is introduced where the cumulative distribution function for the failure of components was Implemented by means of a neural network The model was fit to experimental data on the fatigue life of steel under step-stress conditions For comparison a standard approach based on the lognormal distribution function was also implemented and fit to the same experimental data Both models were optimized by evolutionary computation using a maximum likelihood estimator The Kolmogorov-Smirnov test was applied to compare the results of the new approach to those obtained with the lognormal distribution function (C) 2010 Elsevier Ltd All rights reserved
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