[1]陈胜军.基于隶属函数的疲劳寿命预测模型[J].南京师范大学学报(工程技术版),2007,07(02):006-9.
 Chen Shengjun.Fatigue Lifetime Prediction Models Based on Membership Function[J].Journal of Nanjing Normal University(Engineering and Technology),2007,07(02):006-9.
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基于隶属函数的疲劳寿命预测模型
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南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
07卷
期数:
2007年02期
页码:
006-9
栏目:
出版日期:
2007-06-30

文章信息/Info

Title:
Fatigue Lifetime Prediction Models Based on Membership Function
作者:
陈胜军;
南京师范大学电气与自动化工程学院 江苏南京210042
Author(s):
Chen Shengjun
School of Electric and Automation Engineering,Nanjing Normal University,Nanjing 210042,China
关键词:
疲劳寿命 隶属函数 预测模型
Keywords:
fatigue life tim e m embership function pred iction models
分类号:
TB115
摘要:
针对传统疲劳寿命预测误差较大的问题,提出了将隶属函数应用于疲劳寿命预测的新方法,并建立了基于隶属函数的疲劳寿命预测模型.该摸型考虑了低于疲劳极限的应力所带来的损伤作用,实例对比分析表明:所建立的预测模型具有精度高、适用性强、使用方便的特点,是一种实用有效的预测方法.
Abstract:
Dev iation of tradition fatigue lifetim e prediction is b igge r. A new fatigue lifetim e pred iction m ethod is g iven and the fatigue lifetim e pred iction models are set up based on m em bership function. M ode ls consider the impa ir ing effec t stresses be low w eary lim it. Con trasting analysis o f the pro ject instantia lity indicates: the pred iction m ode ls w hich are set up , w ith typ ica l h igh prec ision, w ide app licab ility and conven ient app lication, are a useful prediction m ethods.

参考文献/References:

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备注/Memo

备注/Memo:
基金项目: 南京师范大学科研启动基金( 2002KZXXGQ2B31)资助项目.
作者简介: 陈胜军( 1964-) , 副教授, 博士, 主要从事可靠性与质量工程等方面的教学与研究. E-m ail:shjun chen@ 163. com
更新日期/Last Update: 2013-04-29