A neural network approach to fatigue life prediction

被引：80

作者：

Figueira Pujol, Joao Carlos ^{[1
]}

Andrade Pinto, Joao Mario ^{[1
]}

机构：

[1] Univ FUMEC, Belo Horizonte, MG, Brazil

来源：

INTERNATIONAL JOURNAL OF FATIGUE | 2011年 / 33卷 / 03期

关键词：

Fatigue; Lognormal distribution; Step stress; Neural networks; Evolutionary computation; STEP; TESTS; MODEL;

D O I：

10.1016/j.ijfatigue.2010.09.003

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

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

引用

页码：313 / 322

页数：10

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